mobile communication networks / internet memes / large-scale hypertextual web search engine / technosocial systems / virality prediction algorithms / online social networks / data mining / follower network / online content / community detection algorithm / social media analytics / potential applications / social media / web information systems / Web Conf / online media / random forest algorithm / real networks / Web search / mining / reciprocal follower network / e - commerce / social networks / scale-free networks / online social network experiment / random networks / /
Movie
Birds of a feather / /
Organization
Cambridge University / Complex Networks and Systems Research School of Informatics / National Science Foundation / Association for the Advancement / James S. McDonnell Foundation / Yong-Yeol Ahn Center for Complex Networks / Indiana University / Bloomington / Occupy Wall Street / Oxford Univ. / Artificial Copyright Intelligence / /
Person
Filippo Menczer / Pn / Nat / Lopez / V / Van Alstyne / Structure Lilian Weng / Lawrence Erlbaum / Daley / /
Position
D. J. / Walker / simple model of global cascades / RT / General / Network-based Prediction Model / Contractor / King / simple model of global cascades on random networks / representative / prediction model / /
Product
Infomap / class / /
ProgrammingLanguage
ML / /
PublishedMedium
Machine Learning / PLOS ONE / Nature Physics / /
Technology
API / Existing virality prediction algorithms / search engine / machine learning / viral marketing / random forest algorithm / two algorithms / community detection algorithm / ISDN / Data Mining / /
Predicting Successful Memes using Network and Community Structure