StaticGreedy: solving the scalability-accuracy dilemma in influence maximization

Abstract

Influence maximization, defined as a problem of finding a set of seed nodes to trigger a maximized spread of influence, is crucial to viral marketing on social networks. For practical viral marketing on large scale social networks, it is required that influence maximization algorithms should have both guaranteed accuracy and high scalability. However… (More)
DOI: 10.1145/2505515.2505541

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