Predicting links in ego-networks using temporal information

Volume: 5, Issue: 1, Pages: 1 - 16
Published: Jan 6, 2016
Abstract
Link prediction appears as a central problem of network science, as it calls for unfolding the mechanisms that govern the micro-dynamics of the network. In this work, we are interested in ego-networks, that is the mere information of interactions of a node to its neighbors, in the context of social relationships. As the structural information is very poor, we rely on another source of information to predict links among egos' neighbors: the...
Paper Details
Title
Predicting links in ego-networks using temporal information
Published Date
Jan 6, 2016
Volume
5
Issue
1
Pages
1 - 16
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