Targeted influence maximization under a multifactor-based information propagation model

Volume: 519, Pages: 124 - 140
Published: May 1, 2020
Abstract
Information propagation modeling and influence maximization are two important research problems in viral marketing. When marketing information is given, how can the seed nodes be efficiently identified to maximize the spread of the information through the network? To answer this question, we consider multiple factors in information propagation, such as information content, social influence and user authority, and propose a multifactor-based...
Paper Details
Title
Targeted influence maximization under a multifactor-based information propagation model
Published Date
May 1, 2020
Volume
519
Pages
124 - 140
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