We propose a method for discovering the dependency relationships between the topics of documents shared in social networks using the latent social interactions, attempting to answ...
Online social networks are a growing internet phenomenon: they connect millions of individuals through sharing of common interests, political and religious views, careers, etc. So...
This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. Community structure represents the laten...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...
New Web 2.0 applications, with their emphasis on collaboration and communication, hold the promise of major advances in social connectivity and coordination; however, they also in...
Sara Motahari, Sotirios G. Ziavras, Richard P. Sch...
Web-based social systems enable new community-based opportunities for participants to engage, share, and interact. This community value and related services like search and advert...