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CIKM
2009
Springer
14 years 4 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu
WWW
2009
ACM
14 years 10 months ago
To join or not to join: the illusion of privacy in social networks with mixed public and private user profiles
In order to address privacy concerns, many social media websites allow users to hide their personal profiles from the public. In this work, we show how an adversary can exploit an...
Elena Zheleva, Lise Getoor
CORR
2010
Springer
153views Education» more  CORR 2010»
13 years 10 months ago
Influence and Passivity in Social Media
The ever-increasing amount of information flowing through Social Media forces the members of these networks to compete for attention and influence by relying on other people to sp...
Daniel M. Romero, Wojciech Galuba, Sitaram Asur, B...
WWW
2009
ACM
14 years 10 months ago
What makes conversations interesting?: themes, participants and consequences of conversations in online social media
Rich media social networks promote not only creation and consumption of media, but also communication about the posted media item. What causes a conversation to be interesting, th...
Ajita John, Dorée D. Seligmann, Hari Sundar...
CSE
2009
IEEE
14 years 2 months ago
Quantifying Utility and Trustworthiness for Advice Shared on Online Social Media
—The growing popularity of social media in recent years has resulted in the creation of an enormous amount of user-developed content. While information is readily available, ther...
Sai T. Moturu, Jian Yang, Huan Liu