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GOSSIP: IDENTIFYING CENTRAL INDIVIDUALS IN A SOCIAL NETWORK
Centrality Gossip Networks Diff usion
2015/7/15
We show that boundedly-rational individuals can, simply by
tracking sources of gossip, identify those who are most central in a network
according to “diffusion centrality,” which nests other s...
Predict Edges in Fliker Social Network Using Data Mining Method
Social Network Data Mining Link Prediction Regression
2013/1/28
Using social networking services is becoming more popular day by day. The websites of the social networks like face-book currently are among the most popular internet services just after giant portals...