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» On the approximability of influence in social networks
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ACMICEC
2007
ACM
156views ECommerce» more  ACMICEC 2007»
13 years 11 months ago
Maximizing influence in a competitive social network: a follower's perspective
Tim Carnes, Chandrashekhar Nagarajan, Stefan M. Wi...
WWW
2010
ACM
13 years 7 months ago
Randomization tests for distinguishing social influence and homophily effects
Relational autocorrelation is ubiquitous in relational domains. This observed correlation between class labels of linked instances in a network (e.g., two friends are more likely ...
Timothy La Fond, Jennifer Neville
AAAI
2008
13 years 9 months ago
Minimizing the Spread of Contamination by Blocking Links in a Network
We address the problem of minimizing the propagation of undesirable things, such as computer viruses or malicious rumors, by blocking a limited number of links in a network, a dua...
Masahiro Kimura, Kazumi Saito, Hiroshi Motoda