A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
The Probabilistic Maximum Coverage Problem in Social Networks
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
doi:10.1109/glocom.2011.6133985
dblp:conf/globecom/FanL11a
fatcat:zi6htgdvzrfljbx2fblemtpuh4