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 <channel rdf:about="http://ebiquity.umbc.edu/tag/blog/">
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    <rdf:li resource="http://ebiquity.umbc.edu/research/area/id/27/Social-media"/>
    <rdf:li resource="http://ebiquity.umbc.edu/research/area/id/24/Web-based-information-systems"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/75/Feeds-that-matter"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/86/Indian-Election-2009"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/68/memeta"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web"/>
    <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/76/Vox-Blogguli"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/371/The-Information-ecology-of-social-media-and-online-communities"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/406/Detecting-Commmunities-via-Simultaneous-Clustering-of-Graphs-and-Folksonomies"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/381/Approximating-the-Community-Structure-of-the-Long-Tail"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/382/Second-Space-A-Generative-Model-For-The-Blogosphere"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/373/Detecting-Spam-Blogs-An-Adaptive-Online-Approach"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/367/Why-We-Twitter-Understanding-Microblogging-Usage-and-Communities"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/366/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/370/On-Modeling-Trust-in-Social-Media-using-Link-Polarity"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/363/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/360/Modeling-Trust-and-Influence-in-Blogosphere-using-Link-Polarity"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/351/Modeling-Trust-and-Influence-in-the-Blogosphere-Using-Link-Polarity"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/362/Spam-in-Blogs-and-Social-Media-Tutorial-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/314/Feeds-That-Matter-A-Study-of-Bloglines-Subscriptions"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/343/On-the-Structure-Properties-and-Utility-of-Internal-Corporate-Blogs"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/342/Towards-Spam-Detection-at-Ping-Servers"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/352/The-BlogVox-Opinion-Retrieval-System"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/326/BlogVox-Separating-Blog-Wheat-from-Blog-Chaff"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/318/Blog-Track-Open-Task-Spam-Blog-Classification"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/296/Detecting-Spam-Blogs-A-Machine-Learning-Approach"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/299/Characterizing-the-Splogosphere"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/269/SVMs-for-the-Blogosphere-Blog-Identification-and-Splog-Detection"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/300/Modeling-the-Spread-of-Influence-on-the-Blogosphere"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/295/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/186/AAAI-06-FTM-Poster"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/190/Detecting-Spam-Blogs-A-Machine-Learning-Approach"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/222/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Masters-Thesis-Presentation-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/221/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Poster-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/204/Information-extraction-from-social-media"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/191/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/192/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/173/Modeling-the-Spread-of-Influence-on-the-Blogosphere"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/227/On-Leveraging-Social-Media"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/241/spam-in-blogs-and-social-media"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/206/The-Business-of-Blogging-the-Good-Bad-and-the-Wonderful"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/279/Trust-Influence-and-Bias-in-Social-Media"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/240/The-Comparison-of-Online-Social-Networks-in-Terms-of-Structure-and-Evolution"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/212/Detecting-Spam-Blogs-An-Adaptive-Online-Approach-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/213/Detecting-spam-blogs-beta-"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/208/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/206/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere"/>
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    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/191/Modeling-Trust-and-Influence-in-the-Blogosphere-Using-Link-Polarity"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/187/Tracking-influence-and-opinions-in-social-media"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/185/The-Science-of-Interaction-A-New-NSF-Initiative"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/181/The-Business-of-Blogging"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/177/Tracking-Influence-and-Opinions-in-Social-Media"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/174/Monitoring-the-Corporate-Blogosphere"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/158/The-Multi-Relational-Blogosphere-Empirical-Characterization-and-Spam-Protection"/>
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 <image rdf:about="http://ebiquity.umbc.edu/img/logo.jpg">
  <title>UMBC ebiquity research group</title>
  <link>http://ebiquity.umbc.edu</link>
  <url>http://ebiquity.umbc.edu/img/logo.jpg</url>
 </image>
 <item rdf:about="http://ebiquity.umbc.edu/research/area/id/27/Social-media">
  <title><![CDATA[Social media]]></title>
  <link>http://ebiquity.umbc.edu/research/area/id/27/Social-media</link>
  <description><![CDATA["Social media describes the online technologies and practices that people use to share opinions, insights, experiences, and perspectives. Social media can take many different forms, including text, images, audio, and video. These sites typically use technologies such as blogs, message boards, podcasts, wikis, and vlogs to allow users to interact." (Wikipedia)

The UMBC ebqiuty group as a number of project that involve one or more aspects of social media, inlcuing online games, weblog spam d...]]></description>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/research/area/id/24/Web-based-information-systems">
  <title><![CDATA[Web based information systems]]></title>
  <link>http://ebiquity.umbc.edu/research/area/id/24/Web-based-information-systems</link>
  <description><![CDATA[The web has become the dominant medium that people use to share information, collaborate and cooperate.  We are sttudying how new Web based systems like blogs, wikis and web services are evolving.]]></description>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/75/Feeds-that-matter">
  <title><![CDATA[Feeds that matter]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/75/Feeds-that-matter</link>
  <description><![CDATA[Finding good feeds is getting harder as the Blogosphere grows. We analyze the Bloglines public feed subscriptions and describe techniques to induce an intuitive set of feed topics. The FTM! prototype service uses a ranked list of the "feeds that matter" for each topic to allow users to browse the catalog and subscribe to interesting feeds.]]></description>
  <dc:date>2006-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/86/Indian-Election-2009">
  <title><![CDATA[Indian Election 2009]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/86/Indian-Election-2009</link>
  <description><![CDATA[The project is available at http://indianelections09.umbc.edu/


This project is devoted to an analysis of the online articles, in the MSM and Social Media, about Indian Elections that will take place in 2009. We analyze the Vox Bloguli to see if it reflects Vox Populi, as far as Indian Elections 2009 are concerned. We also maintain a blog that identifies the issues, events, and personalities associated with the elections. We supplement this with an analysis of the information ecology in M...]]></description>
  <dc:date>2008-08-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/68/memeta">
  <title><![CDATA[memeta]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/68/memeta</link>
  <description><![CDATA[Weblogs, or blogs, have become an important new way to publish information, engage in discussions and form communities. The memeta project is developing a framework for representing and studying the structure and content of communities of blogs. We are particularly interested in how metadata about blogs can be extracted, discovered and computed and how that metadata can be used in the analysis of blogs and to provide new blog related services.  Examples of concrete problems we hope to be able...]]></description>
  <dc:date>2005-03-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web">
  <title><![CDATA[Semantic Discovery: Discovering Complex Relationships in Semantic Web]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/56/Semantic-Discovery-Discovering-Complex-Relationships-in-Semantic-Web</link>
  <description><![CDATA[Research in search techniques was a critical component of the first generation of the Web, and has gone from academe to mainstream. A second generation Semantic Web will be built by adding semantic annotations that software can understand and from which humans can benefit. Modeling, discovering and reasoning about complex relationships on the Semantic Web will enable this vision and transform the hunt for documents into a more automated analysis enabled by semantic technology. The beginnings ...]]></description>
  <dc:date>2003-10-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/76/Vox-Blogguli">
  <title><![CDATA[Vox Blogguli]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/76/Vox-Blogguli</link>
  <description><![CDATA[Blogvox is an experimental system initially built for the 2006 TREC blog track.  The goal was to do opinion retrieval from blog posts.  GIven a query string describing a topic, e.g., "March of the Penguins", the system retieves blog posts that express an opinion, positive or negative, about the topic.]]></description>
  <dc:date>2006-06-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/371/The-Information-ecology-of-social-media-and-online-communities">
  <title><![CDATA[The Information ecology of social media and online communities]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/371/The-Information-ecology-of-social-media-and-online-communities</link>
  <description><![CDATA[Social media systems such as weblogs, photo- and link-sharing sites, wikis and on-line forums are currently thought to produce up to one third of new Web content.  One thing that sets these ``Web 2.0'' sites apart from traditional Web pages and resources is that they are intertwined with other forms of networked data.  Their standard hyperlinks are enriched by social networks, comments, trackbacks, advertisements, tags, RDF data and metadata.  We describe recent work on building systems that ...]]></description>
  <dc:date>2008-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/406/Detecting-Commmunities-via-Simultaneous-Clustering-of-Graphs-and-Folksonomies">
  <title><![CDATA[Detecting Commmunities via Simultaneous Clustering of Graphs and Folksonomies]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/406/Detecting-Commmunities-via-Simultaneous-Clustering-of-Graphs-and-Folksonomies</link>
  <description><![CDATA[We present a simple technique for detecting communities by utilizing both the link structure and folksonomy (or tag) information that is readily available in most social media systems. A simple way to describe our approach is by defining a community as a set of nodes in a graph that link more frequently to within this set than outside it and they share similar tags. Our technique is based on the Normalized Cut (NCut) algorithm and can be easily and efficiently implemented. We validate our met...]]></description>
  <dc:date>2008-08-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/381/Approximating-the-Community-Structure-of-the-Long-Tail">
  <title><![CDATA[Approximating the Community Structure of the Long Tail]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/381/Approximating-the-Community-Structure-of-the-Long-Tail</link>
  <description><![CDATA[In many social media applications, a small fraction of the members are
highly linked while most are sparsely connected to the network. Such a
skewed distribution is sometimes referred to as the "long
tail". Popular applications like meme trackers and content aggregators
mine for information from only the popular blogs located at the head
of this curve. On the other hand, the long tail contains large volumes
of interesting information and niches. The question we address in this
work is ...]]></description>
  <dc:date>2008-03-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/382/Second-Space-A-Generative-Model-For-The-Blogosphere">
  <title><![CDATA[Second Space: A Generative Model For The Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/382/Second-Space-A-Generative-Model-For-The-Blogosphere</link>
  <description><![CDATA[Web graphs have been very useful in the structural and statistical analysis of the web. Various models have been proposed to simulate web graphs that generate degree distributions similar to the web. Real world blog networks resemble many properties of web graphs. But the dynamic nature of the blogosphere and the link structure evolving due to blog readership and social interactions is not well expressed by the existing models. In this research we propose a model for a blogger to construct bl...]]></description>
  <dc:date>2008-03-31</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/373/Detecting-Spam-Blogs-An-Adaptive-Online-Approach">
  <title><![CDATA[Detecting Spam Blogs: An Adaptive Online Approach]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/373/Detecting-Spam-Blogs-An-Adaptive-Online-Approach</link>
  <description><![CDATA[Weblogs, or blogs, are an important new way to publish information, engage in discussions, and form communities on the Internet. Blogs are a global phenomenon, and with numbers well over 100 million they form the core of the emerging paradigm of Social Media. While the utility of blogs is unquestionable, a serious problem now afflicts them, that of spam. Spam blogs, or splogs are blogs with auto-generated or plagiarized content with the sole purpose of hosting profitable contextual ads and/or...]]></description>
  <dc:date>2007-12-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/367/Why-We-Twitter-Understanding-Microblogging-Usage-and-Communities">
  <title><![CDATA[Why We Twitter: Understanding Microblogging Usage and Communities]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/367/Why-We-Twitter-Understanding-Microblogging-Usage-and-Communities</link>
  <description><![CDATA[Microblogging is a new form of communication in which
users can describe their current status in short posts distributed
by instant messages, mobile phones, email or the
Web. Twitter, a popular microblogging tool has seen a lot
of growth since it launched in October, 2006. In this paper,
we present our observations of the microblogging phenomena
by studying the topological and geographical properties
of Twitter’s social network. We find that people use microblogging
to talk about th...]]></description>
  <dc:date>2007-08-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/366/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System">
  <title><![CDATA[Blogvox2: A Modular Domain Independent Sentiment Analysis System]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/366/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and influencing the people.
Blogging by nature is about expressing and listening to opinion. Good sentiment detection
tools, for blogs and other social media, tailored to politics can be a useful tool for
today’s society. With the elections around the corner, political blogs are vital to exerting
and keeping political influence over society. Currently, no sentiment analysis framework
that is tailored to Political Blogs exist. Hence...]]></description>
  <dc:date>2007-06-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/370/On-Modeling-Trust-in-Social-Media-using-Link-Polarity">
  <title><![CDATA[On Modeling Trust in Social Media using Link Polarity]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/370/On-Modeling-Trust-in-Social-Media-using-Link-Polarity</link>
  <description><![CDATA[There is a growing interest in exploring the role of social networks to understand how communities and individuals spread influence. In a densely connected online world, social media and networks have a great potential in influencing our thoughts and actions. We describe techniques to model trust in social media and present experimental results on finding “like minded” blogs based on blog-to-blog link sentiment for a particular domain. Using simple sentiment detection techniques, we ident...]]></description>
  <dc:date>2007-05-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/363/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere">
  <title><![CDATA[Generative Model To Construct Blog and Post Networks In Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/363/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere</link>
  <description><![CDATA[Web graphs have been very useful in the structural and statistical analysis of the web.
Various models have been proposed to simulate web graphs that generate degree distributions
similar to the web. Real world blog networks resemble many properties of web
graphs. But the dynamic nature of the blogosphere and the link structure evolving due to
blog readership and social interactions is not well expressed by the existing models.
In this research we propose a model for a blogger to constru...]]></description>
  <dc:date>2007-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/360/Modeling-Trust-and-Influence-in-Blogosphere-using-Link-Polarity">
  <title><![CDATA[Modeling Trust and Influence in Blogosphere using Link Polarity]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/360/Modeling-Trust-and-Influence-in-Blogosphere-using-Link-Polarity</link>
  <description><![CDATA[The role of social networks has been well explored in understanding how communities and individuals spread influence. In a densely connected world where much of our communication happens online, social media and networks have a great potential in influencing our thoughts and actions. We describe techniques to find "like minded" blogs based on blog-to-blog link sentiment for a particular domain. Using simple sentiment detection techniques, we identify the polarity (positive, negative or neutra...]]></description>
  <dc:date>2007-04-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/351/Modeling-Trust-and-Influence-in-the-Blogosphere-Using-Link-Polarity">
  <title><![CDATA[Modeling Trust and Influence in the Blogosphere Using Link Polarity]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/351/Modeling-Trust-and-Influence-in-the-Blogosphere-Using-Link-Polarity</link>
  <description><![CDATA[The role of social networks has been well explored in
understanding how communities and individuals spread influence.
In a densely connected world where much of our communication
happens online, social media and networks have a great potential
in influencing our thoughts and actions. We describe techniques
to find "like minded" blogs based on blog-to-blog link sentiment
for a particular domain. Using simple sentiment detection
techniques, we identify the polarity (positive, negative or...]]></description>
  <dc:date>2007-03-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/362/Spam-in-Blogs-and-Social-Media-Tutorial-">
  <title><![CDATA[Spam in Blogs and Social Media, Tutorial]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/362/Spam-in-Blogs-and-Social-Media-Tutorial-</link>
  <description><![CDATA[Spam on the Internet dates back over a decade, with its earliest known appearance as an email about the infamous MAKE.MONEY.FAST. campaign. Spam has co-evolved with Internet applications and is now quite common on the World-Wide Web.


As social media systems such as blogs, wikis and bookmark sharing sites have emerged, spammers have quickly developed techniques to infect them as well. The very characteristics underlying the Web, be it version 1.0, 2.0 or 3.0, also enable new varieties o...]]></description>
  <dc:date>2007-03-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/314/Feeds-That-Matter-A-Study-of-Bloglines-Subscriptions">
  <title><![CDATA[Feeds That Matter: A Study of Bloglines Subscriptions]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/314/Feeds-That-Matter-A-Study-of-Bloglines-Subscriptions</link>
  <description><![CDATA[David Sifry's latest quarterly report on the state of the Blogosphere states that  ``the size of the Blogosphere continues
to double every six months". According to this report there are 33.5
million weblogs and many of these are actively posting. As the
Blogosphere continues to grow, finding good quality feeds is becoming
increasingly difficult. In this paper we present an analysis of the
feeds subscribed by a set of publicly listed Bloglines users. Using
the subscription information, ...]]></description>
  <dc:date>2007-03-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/343/On-the-Structure-Properties-and-Utility-of-Internal-Corporate-Blogs">
  <title><![CDATA[On the Structure, Properties and Utility of Internal Corporate Blogs]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/343/On-the-Structure-Properties-and-Utility-of-Internal-Corporate-Blogs</link>
  <description><![CDATA[Weblogs, or blogs are radically changing the face of communication within enterprises. While at the minimum blogs empower employees to publicly voice opinion and share expertise, collectively they improve collaboration and enable internal business intelligence. Though the power of blogs within organizations is well accepted, their properties, structure and utility are yet to be formally analyzed. In this paper, we study the use of blogs within a large corporation to reveal some of their inter...]]></description>
  <dc:date>2007-03-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/342/Towards-Spam-Detection-at-Ping-Servers">
  <title><![CDATA[Towards Spam Detection at Ping Servers]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/342/Towards-Spam-Detection-at-Ping-Servers</link>
  <description><![CDATA[Spam blogs, or splogs, are blogs featuring plagiarized or auto-generated content. They create link farms to promote affiliates, and are motivated by the profitability of hosting ads. Splogs infiltrate the blogosphere at ping servers, systems that aggregate blog update pings. Over the past year, our work has focused on detecting and eliminating splogs. As techniques used by spammers have evolved, we have learned how splog signatures are tied to tools that create them, that they are beginning t...]]></description>
  <dc:date>2007-03-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/352/The-BlogVox-Opinion-Retrieval-System">
  <title><![CDATA[The BlogVox Opinion Retrieval System]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/352/The-BlogVox-Opinion-Retrieval-System</link>
  <description><![CDATA[The BlogVox system retrieves opinionated blog posts specified by ad
hoc queries. BlogVox was developed for the 2006 TREC blog track by the University of
Maryland, Baltimore County and the Johns Hopkins University
Applied Physics Laboratory using a novel system to recognize legitimate  
posts and discriminate against spam blogs.  It also processes posts to eliminate extraneous
non-content, including blog-rolls, link-rolls, advertisements and
sidebars.  After retrieving posts relevant to ...]]></description>
  <dc:date>2007-02-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/326/BlogVox-Separating-Blog-Wheat-from-Blog-Chaff">
  <title><![CDATA[BlogVox: Separating Blog Wheat from Blog Chaff]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/326/BlogVox-Separating-Blog-Wheat-from-Blog-Chaff</link>
  <description><![CDATA[Blog posts are often informally written, poorly structured, rife with
spelling and grammatical errors, and feature non-traditional
content. These characteristics make them difficult to process with
standard language analysis tools.  Performing linguistic analysis on
blogs is plagued by two additional problems: (i) the presence of spam
blogs and spam comments and (ii) extraneous non-content including
blog-rolls, link-rolls, advertisements and sidebars. We describe
techniques designed to...]]></description>
  <dc:date>2007-01-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/318/Blog-Track-Open-Task-Spam-Blog-Classification">
  <title><![CDATA[Blog Track Open Task: Spam Blog Classification]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/318/Blog-Track-Open-Task-Spam-Blog-Classification</link>
  <description><![CDATA[Spam blogs or Splogs are blogs created for the sole purpose of hosting
ads, promoting affiliate sites and getting new content indexed, with
auto-generated or plagiarized content from other sources. Spammers
equipped with readily available splog creation software inundate the
blogosphere both at ping servers, and at systems that index and
analyze blogs. Our own studies estimate these numbers to be around 75%
at ping servers and 20% at popular blog search engines. In this open
submission...]]></description>
  <dc:date>2006-11-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/296/Detecting-Spam-Blogs-A-Machine-Learning-Approach">
  <title><![CDATA[Detecting Spam Blogs: A Machine Learning Approach]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/296/Detecting-Spam-Blogs-A-Machine-Learning-Approach</link>
  <description><![CDATA[Weblogs or blogs are an important new way to publish
information, engage in discussions, and form communities
on the Internet. The Blogosphere has unfortunately
been infected by several varieties of spam-like
content. Blog search engines, for example, are inundated
by posts from splogs – false blogs with machine
generated or hijacked content whose sole purpose is to
host ads or raise the PageRank of target sites. We discuss
how SVM models based on local and link-based
features can ...]]></description>
  <dc:date>2006-07-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/299/Characterizing-the-Splogosphere">
  <title><![CDATA[Characterizing the Splogosphere]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/299/Characterizing-the-Splogosphere</link>
  <description><![CDATA[Weblogs or blogs collectively constitute the Blogosphere, forming
an influential and interesting subset on theWeb. As with
most Internet-enabled applications, the ease of content creation
and distribution makes the blogosphere spam prone.
Spam blogs or splogs are blogs hosting spam posts, created
using machine generated or hijacked content for the sole purpose
of hosting ads or raising the PageRank of target sites.
These splogs make up the splogosphere, and are now inundating
blog sea...]]></description>
  <dc:date>2006-05-23</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/269/SVMs-for-the-Blogosphere-Blog-Identification-and-Splog-Detection">
  <title><![CDATA[SVMs for the Blogosphere: Blog Identification and Splog Detection]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/269/SVMs-for-the-Blogosphere-Blog-Identification-and-Splog-Detection</link>
  <description><![CDATA[Weblogs, or blogs have become an important new way to publish
information, engage in discussions and form communities. The
increasing popularity of blogs has given rise to search and analysis
engines focusing on the 'blogosphere'.  A key requirement of such
systems is to identify blogs as they crawl the Web.
While this ensures that only blogs are indexed, blog search engines
are also often overwhelmed by spam blogs (splogs). Splogs not only
incur computational overheads but also reduce...]]></description>
  <dc:date>2006-03-27</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/300/Modeling-the-Spread-of-Influence-on-the-Blogosphere">
  <title><![CDATA[Modeling the Spread of Influence on the Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/300/Modeling-the-Spread-of-Influence-on-the-Blogosphere</link>
  <description><![CDATA[Blogs have become a means by which new ideas and information spreads rapidly on the web. 
They often discuss the latest trends and echo with reactions on different events in the world. 
The collective wisdom present on the blogosphere is invaluable for market researchers 
and companies launching new products. In this paper, we validate the effectiveness of some of the
influence models on the blogosphere. We validate the robustness of different heuristics in 
presence of splogs or spam bl...]]></description>
  <dc:date>2006-03-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/295/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere">
  <title><![CDATA[Memeta: A Framework for Multi-Relational Analytics on the Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/295/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere</link>
  <description><![CDATA[The “memeta” project is developing a framework for studying
the structure and content of the blogosphere. We are
particularly interested in how metadata about blogs can be
discovered, extracted and computed, and how this metadata
can be modeled, represented and analyzed to provide new
blog related services.]]></description>
  <dc:date>2006-02-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/186/AAAI-06-FTM-Poster">
  <title><![CDATA[AAAI 06 FTM Poster]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/186/AAAI-06-FTM-Poster</link>
  <description><![CDATA[David Sifry's latest quarterly report on the state of the Blogosphere states that ``the size of the Blogosphere continues to double every six months". According to this report there are 33.5 million weblogs and many of these are actively posting. As the Blogosphere continues to grow, finding good quality feeds is becoming increasingly difficult. In this paper we present an analysis of the feeds subscribed by a set of publicly listed Bloglines users. Using the subscription information, we desc...]]></description>
  <dc:date>2006-07-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs">
  <title><![CDATA[BlogVox2: Sentiment Detection in Political Blogs]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and influencing the people.
Blogging by nature is about expressing and listening to opinion. Good sentiment detection
tools, for blogs and other social media, tailored to politics can be a useful tool for
today’s society. With the elections around the corner, political blogs are vital to exerting
and keeping political influence over society. Currently, no sentiment analysis framework
that is tailored to Political Blogs exist. Hence...]]></description>
  <dc:date>2007-07-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs">
  <title><![CDATA[BlogVox2: Sentiment Detection in Political Blogs]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and influencing the people.
Blogging by nature is about expressing and listening to opinion. Good sentiment detection
tools, for blogs and other social media, tailored to politics can be a useful tool for
today’s society. With the elections around the corner, political blogs are vital to exerting
and keeping political influence over society. Currently, no sentiment analysis framework
that is tailored to Political Blogs exist. Hence...]]></description>
  <dc:date>2007-07-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/190/Detecting-Spam-Blogs-A-Machine-Learning-Approach">
  <title><![CDATA[Detecting Spam Blogs: A Machine Learning Approach]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/190/Detecting-Spam-Blogs-A-Machine-Learning-Approach</link>
  <description><![CDATA[Weblogs or blogs are an important new way to publish information, engage in discussions, and form communities on the Internet. The Blogosphere has unfortunately been infected by several varieties of spam-like content. Blog search engines, for example, are inundated by posts from splogs – false blogs with machine generated or hijacked content whose sole purpose is to host ads or raise the PageRank of target sites. We discuss how SVM models based on local and link-based features can be used t...]]></description>
  <dc:date>2006-07-16</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/222/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Masters-Thesis-Presentation-">
  <title><![CDATA[Generative Model To Construct Blog and Post Networks In Blogosphere (Masters Thesis Presentation)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/222/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Masters-Thesis-Presentation-</link>
  <description><![CDATA[Web graphs have been very useful in the structural and statistical analysis of the web.
Various models have been proposed to simulate web graphs that generate degree distributions similar to the web. Real world blog networks resemble many properties of web graphs. But the dynamic nature of the blogosphere and the link structure evolving due to
blog readership and social interactions is not well expressed by the existing models.

In this research we propose a model for a blogger to constru...]]></description>
  <dc:date>2007-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/221/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Poster-">
  <title><![CDATA[Generative Model To Construct Blog and Post Networks In Blogosphere (Poster)]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/221/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere-Poster-</link>
  <description><![CDATA[Web graphs have been very useful in the structural and statistical analysis of the web.
Various models have been proposed to simulate web graphs that generate degree distributions
similar to the web. Real world blog networks resemble many properties of web
graphs. But the dynamic nature of the blogosphere and the link structure evolving due to
blog readership and social interactions is not well expressed by the existing models.
In this research we propose a model for a blogger to constru...]]></description>
  <dc:date>2007-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/204/Information-extraction-from-social-media">
  <title><![CDATA[Information extraction from social media]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/204/Information-extraction-from-social-media</link>
  <description><![CDATA[This presentation gives an overview of recent work at UMBC on extracting information from social media.]]></description>
  <dc:date>2006-10-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/191/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere">
  <title><![CDATA[Memeta: A Framework for Multi-Relational Analytics on the Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/191/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere</link>
  <description><![CDATA[The 'memeta' project is developing a framework for studying the structure and content of the blogosphere. We are particularly interested in how metadata about blogs can be discovered, extracted and computed, and how this metadata can be modeled, represented and analyzed to provide new blog related services.

(AAAI-06 Poster)]]></description>
  <dc:date>2006-07-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/192/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere">
  <title><![CDATA[Memeta: A Framework for Multi-Relational Analytics on the Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/192/Memeta-A-Framework-for-Multi-Relational-Analytics-on-the-Blogosphere</link>
  <description><![CDATA[The 'memeta' project is developing a framework for studying the structure and content of the blogosphere. We are particularly interested in how metadata about blogs can be discovered, extracted and computed, and how this metadata can be modeled, represented and analyzed to provide new blog related services.

(AAAI-06 Poster)]]></description>
  <dc:date>2006-07-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/173/Modeling-the-Spread-of-Influence-on-the-Blogosphere">
  <title><![CDATA[Modeling the Spread of Influence on the Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/173/Modeling-the-Spread-of-Influence-on-the-Blogosphere</link>
  <description><![CDATA[ebiquity meeting presentation 04/12/06]]></description>
  <dc:date>2006-04-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/227/On-Leveraging-Social-Media">
  <title><![CDATA[On Leveraging Social Media]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/227/On-Leveraging-Social-Media</link>
  <dc:date>2007-06-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/241/spam-in-blogs-and-social-media">
  <title><![CDATA[spam in blogs and social media]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/241/spam-in-blogs-and-social-media</link>
  <description><![CDATA[Spam on the Internet dates back over a decade, with its earliest known appearance as an email about the infamous MAKE.MONEY.FAST. campaign. Spam has co-evolved with Internet applications and is now quite common on the World-Wide Web.

As social media systems such as blogs, wikis and bookmark sharing sites have emerged, spammers have quickly developed techniques to infect them as well. The very characteristics underlying the Web, be it version 1.0, 2.0 or 3.0, also enable new varieties of sp...]]></description>
  <dc:date>2007-03-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/206/The-Business-of-Blogging-the-Good-Bad-and-the-Wonderful">
  <title><![CDATA[The Business of Blogging: the Good, Bad and the Wonderful]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/206/The-Business-of-Blogging-the-Good-Bad-and-the-Wonderful</link>
  <dc:date>2006-10-20</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/279/Trust-Influence-and-Bias-in-Social-Media">
  <title><![CDATA[Trust, Influence andBias in Social Media]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/279/Trust-Influence-and-Bias-in-Social-Media</link>
  <description><![CDATA[This presentation gives an overview of recent research at UMBC on modeling influence, trust and bias in soial media content.]]></description>
  <dc:date>2009-06-11</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/240/The-Comparison-of-Online-Social-Networks-in-Terms-of-Structure-and-Evolution">
  <title><![CDATA[The Comparison of Online Social Networks in Terms of Structure and Evolution]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/240/The-Comparison-of-Online-Social-Networks-in-Terms-of-Structure-and-Evolution</link>
  <description><![CDATA[Social network systems on the Internet, such MySpace and LinkedIn, are 
growing in popularity around the world.  The level of such activity is 
now comparable to that associated with email and blogs.  Our research 
addresses the question of whether people in different demographic groups 
use these systems in the same way.  We also examined the relationship 
between membership in on-line social networks and face-to-face networks, 
  especially with respect to different age cohorts.  Olde...]]></description>
  <dc:date>2008-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/212/Detecting-Spam-Blogs-An-Adaptive-Online-Approach-">
  <title><![CDATA[Detecting Spam Blogs: An Adaptive Online Approach]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/212/Detecting-Spam-Blogs-An-Adaptive-Online-Approach-</link>
  <description><![CDATA[Weblogs, or blogs, are an important new way to publish information, engage
in discussions, and form communities on the Internet. Blogs are a global
phenomenon, and with numbers well over 100 million they form the core of
the emerging paradigm of Social Media. While the utility of blogs is
unquestionable, a serious problem now afflicts them, that of spam. Spam
blogs, or splogs are blogs with auto-generated or plagiarized content
with the sole purpose of hosting profitable contextual ads ...]]></description>
  <dc:date>2007-09-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/213/Detecting-spam-blogs-beta-">
  <title><![CDATA[Detecting spam blogs (beta)]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/213/Detecting-spam-blogs-beta-</link>
  <description><![CDATA[In our regular weekly Ebiquity meeting, Pranam Kolari will give us a preview of his dissertation defense presentation.  He will greatly appreciate feedback on this pre-release beta version, as long as it doesn't involve suggestions that he do an additional six months of research to confirm and strengthen his experimental results.

See  his defense announcement for the abstract.]]></description>
  <dc:date>2007-09-24</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/208/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System">
  <title><![CDATA[Blogvox2: A Modular Domain Independent Sentiment Analysis System]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/208/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and
Influencing the people.  Blogging by nature is about expressing
and listening to opinion, the job of a politician is to both
represent and lead the people, good sentiment detection tools,
for blogs and other social media, tailored to politics are a must
for today's society. With the elections around the corner,
political blogs are vital to exerting and keeping political
influence over society.  Currently, no sentiment analysis...]]></description>
  <dc:date>2007-06-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/206/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere">
  <title><![CDATA[Generative Model To Construct Blog and Post Networks In Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/206/Generative-Model-To-Construct-Blog-and-Post-Networks-In-Blogosphere</link>
  <description><![CDATA[Web graphs have been very useful in the structural and statistical analysis
of the web. Various models have been proposed to simulate web graphs that
generate degree distributions similar to the web. Real world blog networks
resemble many properties of web graphs. But the dynamic nature of the
blogosphere and the link structure evolving due to blog readership and
social interactions is not well expressed by the existing models.

In this research we propose a model for a blogger to cons...]]></description>
  <dc:date>2007-05-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/203/Modeling-Trust-and-Influence-on-Blogosphere-using-Link-Polarity">
  <title><![CDATA[Modeling Trust and Influence on Blogosphere using Link Polarity]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/203/Modeling-Trust-and-Influence-on-Blogosphere-using-Link-Polarity</link>
  <description><![CDATA[There is a growing interest in exploring the role of social networks for understanding
how communities and individuals spread influence. In a densely connected world where
much of our communication happens online, social media and networks have a great potential in influencing our thoughts and actions. The key contribution of our work is generation of a fully-connected polar social network graph from the sparsely connected social network graph in the context of blogs, where the vertex repre...]]></description>
  <dc:date>2007-04-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/191/Modeling-Trust-and-Influence-in-the-Blogosphere-Using-Link-Polarity">
  <title><![CDATA[Modeling Trust and Influence in the Blogosphere Using Link Polarity]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/191/Modeling-Trust-and-Influence-in-the-Blogosphere-Using-Link-Polarity</link>
  <description><![CDATA[The role of social networks has been well explored in
understanding how communities and individuals spread influence.
In a densely connected world where much of our communication
happens online, social media and networks have a great potential
in influencing our thoughts and actions. We describe techniques
to find "like minded" blogs based on blog-to-blog link sentiment
for a particular domain. Using simple sentiment detection
techniques, we identify the polarity (positive, negative or...]]></description>
  <dc:date>2007-02-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/187/Tracking-influence-and-opinions-in-social-media">
  <title><![CDATA[Tracking influence and opinions in social media]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/187/Tracking-influence-and-opinions-in-social-media</link>
  <description><![CDATA[Recently, social media such as forums, wikis and blogs, in
particular, are playing a notable role in influencing the
buying patterns of consumers.  Often a person looks for
opinions, user experiences and reviews on such sources
before purchasing a product.  Detecting influential nodes,
opinion leaders and understanding their role in how people
perceive and adopt a product or service provides a powerful
tool for marketing, advertising and business
intelligence. This requires new algori...]]></description>
  <dc:date>2006-11-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/185/The-Science-of-Interaction-A-New-NSF-Initiative">
  <title><![CDATA[The Science of Interaction: A New NSF Initiative]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/185/The-Science-of-Interaction-A-New-NSF-Initiative</link>
  <description><![CDATA[The Science of Interaction initiative aims to establish, explore and
exploit the role of communications and computing in all other sciences
and engineering.  It is envisioned as a basic, trans-disciplinary
field, comprised of elements of mathematical, physical, social,
biological, earth and computing sciences, with applications in every
engineering discipline. As we continue to populate the Earth and space
with complex, heterogeneous, interconnected, interdependent manmade
systems, suc...]]></description>
  <dc:date>2006-11-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/181/The-Business-of-Blogging">
  <title><![CDATA[The Business of Blogging]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/181/The-Business-of-Blogging</link>
  <description><![CDATA[Blogs are radically changing the face of communications on the Internet.
Beyond publishing content, blogs enable users to engage in conversation and form tight knit communities, constituting a highly influential subset on the Web. While the benefit of blogs to individuals is well studied, their
utility for an enterprise is less well understood.


This presentation details how enterprises can benefit from adopting blogs, internally, and externally, in the context of IBM.  We discuss how b...]]></description>
  <dc:date>2006-10-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/177/Tracking-Influence-and-Opinions-in-Social-Media">
  <title><![CDATA[Tracking Influence and Opinions in Social Media]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/177/Tracking-Influence-and-Opinions-in-Social-Media</link>
  <description><![CDATA[Social Media such as blogs, wikis, formus and user-generated content
sites like flickr,
delicious and youtube have become both a source of information and
entertainment.
The size of audience that these sites currently yield is already rivaling
traditional main stream media sources like television, newspapers and
magazines.
Blogs, especially, have been reported to play a notable role in
influencing the buying patterns of consumers. Often a buyer looks for
opinions, user experiences an...]]></description>
  <dc:date>2006-10-03</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/174/Monitoring-the-Corporate-Blogosphere">
  <title><![CDATA[Monitoring the Corporate Blogosphere]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/174/Monitoring-the-Corporate-Blogosphere</link>
  <description><![CDATA[Blogs are radically changing the face of communications on the Internet.
Beyond publishing content, blogs enable users to engage in conversation and
form tight knit communities, constituting a highly influential subset on
the Web. While the benefit of blogs to individuals is well studied, their
utility for an enterprise is less well understood.

This talk details how enterprises can benefit from adopting blogs,
internally, and externally. We show how internal
employee blogs enable exp...]]></description>
  <dc:date>2006-09-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/158/The-Multi-Relational-Blogosphere-Empirical-Characterization-and-Spam-Protection">
  <title><![CDATA[The Multi-Relational Blogosphere: Empirical Characterization and Spam Protection]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/158/The-Multi-Relational-Blogosphere-Empirical-Characterization-and-Spam-Protection</link>
  <description><![CDATA[Weblogs, or blogs, have become an important new way to publish information,
engage in discussions and form communities. Blogs collectively constitute 
the blogosphere, a highly influential and dynamic subset on the Web. The 
nature of their content and publishing infrastructure requires that they be
modeled, harvested and analyzed differently from the rest of the web.


We first propose a model for the blog graph that extends the more general 
web graph. The web is viewed as a graph G...]]></description>
  <dc:date>2006-05-10</dc:date>
 </item>
</rdf:RDF>
