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 <channel rdf:about="http://ebiquity.umbc.edu/tag/influence/">
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  <image rdf:resource="http://ebiquity.umbc.edu/img/logo.jpg" />  <title><![CDATA[RSS Tag Search]]></title>
  <link>http://ebiquity.umbc.edu/tag/influence/</link>
  <description><![CDATA[RSS Tag Search]]></description>
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    <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/360/Modeling-Trust-and-Influence-in-Blogosphere-using-Link-Polarity"/>
    <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/351/Modeling-Trust-and-Influence-in-the-Blogosphere-Using-Link-Polarity"/>
    <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/event/html/id/247/Communities-in-Social-Media-An-Eyepiece-into-Context-User-Intention-and-Influence"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/203/Modeling-Trust-and-Influence-on-Blogosphere-using-Link-Polarity"/>
    <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"/>
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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>
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 <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>2008-04-01</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/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/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/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/event/html/id/247/Communities-in-Social-Media-An-Eyepiece-into-Context-User-Intention-and-Influence">
  <title><![CDATA[Communities in Social Media: An Eyepiece into Context, User Intention and Influence]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/247/Communities-in-Social-Media-An-Eyepiece-into-Context-User-Intention-and-Influence</link>
  <description><![CDATA[Communities are central to online social media systems and detecting their structure and membership is critical for many applications. In this talk, I will discuss some of our recent research on both identifying communities and analyzing their content. We leverage the special properties of Social Media data to analyze the communities in an attempt to understand user intentions, context and influence.

 Community detection techniques can be computationally expensive. An approach to reducing ...]]></description>
  <dc:date>2008-06-30</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>
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