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<div>V torek 20. maja bo ob 13h v predavalnici MPS (Mednarodne
Podiplomske Sole)
IJS 261. Solomonov seminar. Predavalnica MPS je v drugem
nadstropju stavbe, ki je za glavno stavbo IJS. Posnetki
preteklih seminarjev so na <a class="moz-txt-link-freetext" href="http://videolectures.net/solomon/">http://videolectures.net/solomon/</a>
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Tokrat bo Jure Leskovec predstavil svoje nedavno delo na temo
kako napovedati kaksna vsebina (ki jo publiciramo na socialnih
medijih) lahko postane viralna.<br>
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~<br>
Jure Leskovec, Stanford/IJS:<br>
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TITLE: Can cascades be predicted?</div>
<div>ABSTRACT: </div>
<div>Social networks play a central role in spreading of
information, ideas, behaviors, and products. As such
“contagions” diffuse from a person to person they may go
“viral,” and large cascades can form. However, a growing body of
research has argued that virality and cascades may be inherently
unpredictable. Thus, one of the central questions is whether
information cascades can be predicted and possibly even
engineered. In this talk, I will discuss a framework for
predicting cascades and making them go viral. We study large
sample of cascades on Facebook and find strong performance in
predicting whether a cascade will continue to grow in the
future. The models we develop help us understand how to create
viral social media content: by using the right title, for the
right community, at the right time.</div>
<div>BIO:</div>
<div><br>
Jure Leskovec <<a href="http://cs.stanford.edu/%7Ejure">http://cs.stanford.edu/~jure</a>>
is assistant professor of Computer Science at Stanford
University. His research focuses on mining large social and
information networks. Problems he investigates are motivated by
large scale data, the Web and on-line media. This research has
won several awards including a Microsoft Research Faculty
Fellowship, the Alfred P. Sloan Fellowship and numerous best
paper awards. Leskovec received his bachelor's degree in
computer science from University of Ljubljana, Slovenia, and his
PhD in in machine learning from the Carnegie Mellon University
and postdoctoral training at Cornell University. You can follow
him on Twitter @jure <<a href="http://www.twitter.com/jure">http://www.twitter.com/jure</a>><br>
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