2018 · 38 citations · 15 references
Social SciencesPolitical SciencePolitical BehaviorPublic OpinionSocial InfluenceCampaign BehaviorCampaign CommunicationElectionsVoting BehaviorComputational CampaigningElection Under Network PartitionsGraph DiffusionOpinion DynamicsOpinion NetworksPolitical Information Diffusion
We study the effects of campaigning, where the society is partitioned into voter clusters and a diffusion process propagates opinions in a network connecting those clusters. Our model is very general and can incorporate many campaigning actions, various partitions of the society into voter clusters, and very general diffusion processes. Perhaps surprisingly, we show that computing the cheapest campaign for rigging a given election can usually be done efficiently, even with arbitrarily-many voters.
15
Efficient influence maximization in social networks
Wei Chen, Yajun Wang, Siyu Yang · 2009 · 2.2K citations
Maximizing the spread of influence through a social network
David Kempe, Jon Kleinberg, Éva Tardos · 2003 · 1.1K citations