The Probabilistic Maximum Coverage Problem in Social Networks

Xiaoguang Fan, V. O. K. Li
2011 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011  
In this paper we consider the problem of maximizing information propagation in social networks. To solve it, we introduce a probabilistic maximum coverage problem, and further purpose a cluster-based heuristic and a neighborhoodremoval heuristic for two basic diffusion models, namely, the Linear Threshold Model and the Independent Cascade Model, respectively. Our proposed strategies are compared with the pure greedy algorithm and centrality-based schemes via experiments on large collaboration
more » ... tworks. We find that our proposed algorithms perform better than centrality-based schemes and achieve approximately the same performance as the greedy algorithm. Moreover, the computational load is significantly reduced compared with the greedy heuristic.
doi:10.1109/glocom.2011.6133985 dblp:conf/globecom/FanL11a fatcat:zi6htgdvzrfljbx2fblemtpuh4