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WWW
2011
ACM
13 years 2 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
WSDM
2010
ACM
254views Data Mining» more  WSDM 2010»
14 years 5 months ago
Learning Influence Probabilities In Social Networks
Recently, there has been tremendous interest in the phenomenon of influence propagation in social networks. The studies in this area assume they have as input to their problems a ...
Amit Goyal 0002, Francesco Bonchi, Laks V. S. Laks...
BIOINFORMATICS
2007
83views more  BIOINFORMATICS 2007»
13 years 7 months ago
Exploring biological network structure using exponential random graph models
Motivation: The functioning of biological networks depends in large part on their complex underlying structure. When studying their systemic nature many modeling approaches focus ...
Zachary M. Saul, Vladimir Filkov
SIGCOMM
2010
ACM
13 years 7 months ago
Unbiased sampling in directed social graph
Microblogging services, such as Twitter, are among the most important online social networks(OSNs). Different from OSNs such as Facebook, the topology of microblogging service is ...
Tianyi Wang, Yang Chen, Zengbin Zhang, Peng Sun, B...
INFOCOM
2012
IEEE
11 years 10 months ago
SybilDefender: Defend against sybil attacks in large social networks
—Distributed systems without trusted identities are particularly vulnerable to sybil attacks, where an adversary creates multiple bogus identities to compromise the running of th...
Wei Wei, Fengyuan Xu, Chiu Chiang Tan, Qun Li