# Convex relaxation for finding planted influential nodes in a social network

@article{Elkin2013ConvexRF, title={Convex relaxation for finding planted influential nodes in a social network}, author={Lisa Elkin and Ting Kei Pong and Stephen A. Vavasis}, journal={ArXiv}, year={2013}, volume={abs/1307.4047} }

We consider the problem of maximizing influence in a social network. We focus on the case that the social network is a directed bipartite graph whose arcs join senders to receivers. We consider both the case of deterministic networks and probabilistic graphical models, that is, the so-called “cascade” model. The problem is to find the set of the k most influential senders for a given integer k. Although this problem is NP-hard, there is a polynomial-time approximation algorithm due to Kempe… Expand

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