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	<event:Event rdf:about="http://ebiquity.umbc.edu/event/html/id/144/Modeling-the-Spread-of-Influence-on-the-Blogosphere">
		<rdfs:label><![CDATA[Modeling the Spread of Influence on the Blogosphere]]></rdfs:label>
		<event:title><![CDATA[Modeling the Spread of Influence on the Blogosphere]]></event:title>
		<event:speaker>
<person:Alumnus rdf:about="http://ebiquity.umbc.edu/person/html/Akshay/Java"><person:name><![CDATA[Akshay Java]]></person:name><rdfs:label><![CDATA[Akshay Java]]></rdfs:label></person:Alumnus>
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		<event:startDate rdf:datatype="&xsd;dateTime">2006-04-12T10:30:00-05:00</event:startDate>
		<event:endDate rdf:datatype="&xsd;dateTime">2006-04-12T11:30:00-05:00</event:endDate>
		<event:location><![CDATA[325 b]]></event:location>
		<event:abstract><![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 blogs on the web. Experiments also show how PageRank based
heuristics could be used to select an influential set of bloggers such
that we could maximize  the spread of information on the blogosphere.
<p>
See this <a href="https://ebiquity.umbc.edu/paper/html/id/300/Modeling-the-Spread-of-Influence-on-the-Blogosphere">paper</a> for background.]]></event:abstract>
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