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EPJ Data Science
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 timing of interactions. We define several features todoi:10.1140/epjds/s13688-015-0062-0 fatcat:xgxcbojcpvglrdfd4twhsdpjh4