Community-based influence maximization in attributed networks

Volume: 50, Issue: 2, Pages: 354 - 364
Published: Jul 24, 2019
Abstract
Influence Maximization, aiming at selecting a small set of seed users in a social network to maximize the spread of influence, has attracted considerable attention recently. Most existing influence maximization algorithms focus on pure networks, while in many real-world social networks, nodes are often associated with a rich set of attributes or features, aka attributed networks. Moreover, most of existing influence maximization methods suffer...
Paper Details
Title
Community-based influence maximization in attributed networks
Published Date
Jul 24, 2019
Volume
50
Issue
2
Pages
354 - 364
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