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KDD
2010
ACM
244views Data Mining» more  KDD 2010»
14 years 10 months ago
Finding effectors in social networks
Assume a network (V, E) where a subset of the nodes in V are active. We consider the problem of selecting a set of k active nodes that best explain the observed activation state, ...
Theodoros Lappas, Evimaria Terzi, Dimitrios Gunopu...
DSN
2007
IEEE
15 years 5 months ago
On the Cost of Modularity in Atomic Broadcast
Modularity is a desirable property of complex software systems, since it simplifies code reuse, verification, maintenance, etc. However, the use of loosely coupled modules intro...
Olivier Rütti, Sergio Mena, Richard Ekwall, A...
CHI
2009
ACM
16 years 10 hour ago
Predicting tie strength with social media
Social media treats all users the same: trusted friend or total stranger, with little or nothing in between. In reality, relationships fall everywhere along this spectrum, a topic...
Eric Gilbert, Karrie Karahalios
KDD
2009
ACM
164views Data Mining» more  KDD 2009»
15 years 12 months ago
Social influence analysis in large-scale networks
In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the fri...
Jie Tang, Jimeng Sun, Chi Wang, Zi Yang
CHI
2010
ACM
15 years 6 months ago
Signed networks in social media
Relations between users on social media sites often reflect a mixture of positive (friendly) and negative (antagonistic) interactions. In contrast to the bulk of research on soci...
Jure Leskovec, Daniel P. Huttenlocher, Jon M. Klei...