Towards simultaneously exploiting structure and outcomes in interaction networks for node ranking


In this paper, we present algorithms for ranking nodes in interaction networks. Informally, they capture the patterns of historical interaction among the nodes and the associated outcomes. There exists a cardinal ranking over the set of outcomes, characterizing the order of preference. We argue that ranking of nodes should be influenced by both structural… (More)


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