—Social and communication networks across the world generate vast amounts of graph-like data each day. The modeling and prediction of how these communication structures evolve ca...
—Social networks and discussion boards have become a significant outlet where people communicate and express their opinion freely. Although the social networks themselves are us...
This paper proposes a novel approach to integrate heterogeneous data in P2P networks. The approach includes a tool for building P2P semantic link networks, mechanisms for peer sch...
Given a snapshot of a social network, can we infer which new interactions among its members are likely to occur in the near future? We formalize this question as the link predicti...
When heterogeneous congestion control protocols that react to different pricing signals share the same network, the current theory based on utility maximization fails to predict th...