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SDM
2009
SIAM
208views Data Mining» more  SDM 2009»
14 years 7 months ago
A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks.
Although a large body of work are devoted to finding communities in static social networks, only a few studies examined the dynamics of communities in evolving social networks. I...
Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, ...
WWW
2011
ACM
13 years 5 months ago
Finding the bias and prestige of nodes in networks based on trust scores
Many real-life graphs such as social networks and peer-topeer networks capture the relationships among the nodes by using trust scores to label the edges. Important usage of such ...
Abhinav Mishra, Arnab Bhattacharya
KDD
2012
ACM
229views Data Mining» more  KDD 2012»
12 years 24 days ago
Finding trendsetters in information networks
Influential people have an important role in the process of information diffusion. However, there are several ways to be influential, for example, to be the most popular or the...
Diego Sáez-Trumper, Giovanni Comarela, Virg...
CCS
2009
ACM
14 years 5 months ago
Finding "hidden" connections on linkedIn an argument for more pragmatic social network privacy
Social networking services well know that some users are unwilling to freely share the information they store with the service (e.g. profile information). To address this, servic...
Jessica Staddon
CSCW
2012
ACM
12 years 6 months ago
Of joy and gender: emotional expression in online social networks
In this study, we analyzed the language use on Twitter personal exchanges as well as properties of the users’ networks, to study the influence of gender composition on expressio...
Funda Kivran-Swaine, Samuel Brody, Nicholas Diakop...