A General Framework For Task-Oriented Network Inference

2017/05/01 by Brugere, Ivan, Kanich, Chris, Berger-Wolf, Tanya Y.
#FOS: Computer and information sciences #Social and Information Networks (cs.SI)

paper · doi:10.48550/arxiv.1705.00645

Abstract

We present a brief introduction to a flexible, general network inference framework which models data as a network space, sampled to optimize network structure to a particular task. We introduce a formal problem statement related to influence maximization in networks, where the network structure is not given as input, but learned jointly with an influence maximization solution.

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