Document Type

Article

Publication Date

5-18-2017

Publication Title

Computational Social Networks

Abstract

Merging two classic questions

The influence-maximization literature seeks small sets of individuals whose structural placement in the social network can drive large cascades of behavior. Optimization efforts to find the best seed set often assume perfect knowledge of the network topology. Unfortunately, social network links are rarely known in an exact way. When do seeding strategies based on less-than-accurate link prediction provide valuable insight?

Keywords

Influence maximization, Link prediction, Threshold spread, Network seeding, Optimization under uncertainty

Volume

4

Issue

1

DOI

DOI 10.1186/s40649-017-0037-3

Rights

© The Author(s) 2017

Included in

Mathematics Commons

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