Measuring the value of accurate link prediction for network seeding

Measuring the value of accurate link prediction for network seeding

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. U...

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Bibliographic Details
Main Authors: Yijin Wei, Gwen Spencer
Format: Article
Language:English
Published: SpringerOpen 2017-05-01
Series:Computational Social Networks
Subjects:
Influence maximization
Link prediction
Threshold spread
Network seeding
Optimization under uncertainty
Online Access:http://link.springer.com/article/10.1186/s40649-017-0037-3

Internet

http://link.springer.com/article/10.1186/s40649-017-0037-3

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