GenDeR: A generic diversified ranking algorithm
Jingrui He, Hanghang Tong, et al.
NeurIPS 2012
Given a graph, how to find a small group of 'gateways', that is a small subset of nodes that are crucial in connecting the source to the target? For instance, given a social network, who is the best person to introduce you to, say, Chris Ferguson, the poker champion? Or, given a network of people and skills, who is the best person to help you learn about, say, wavelets? We formally formulate this problem in two scenarios: Pair-Gateway and Group-Gateway. For each scenario, we show that it is sub-modular and thus it can be solved near-optimally. We further give fast, scalable algorithms to find such gateways. Extensive experimental evaluations on real data sets demonstrate the effectiveness and efficiency of the proposed methods. © 2012 Springer Science+Business Media, LLC.
Jingrui He, Hanghang Tong, et al.
NeurIPS 2012
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