publication . Conference object . 2018

Community based influence maximization in the Independent Cascade Model

László Hajdu; Miklós Krész; András Bóta;
Open Access
  • Published: 26 Sep 2018
  • Publisher: IEEE
Community detection is a widely discussed topic in network science which allows us to discover detailed information about the connections between members of a given group. Communities play a critical role in the spreading of viruses or the diffusion of information. In [1], [8] Kempe et al. proposed the Independent Cascade Model, defining a simple set of rules that describe how information spreads in an arbitrary network. In the same paper the influence maximization problem is defined. In this problem we are looking for the initial vertex set which maximizes the expected number of the infected vertices. The main objective of this paper is to further improve the e...
Persistent Identifiers
free text keywords: Community detection, Infection maximization, Independent Cascade Model, Community structure, Maximization, Cascade, Task analysis, Simple set, Theoretical computer science, Computer science, Network science, Electronic mail, Vertex (geometry)
Funded by
EC| InnoRenew CoE
InnoRenew CoE
Renewable materials and healthy environments research and innovation centre of excellence
  • Funder: European Commission (EC)
  • Project Code: 739574
  • Funding stream: H2020 | SGA-CSA
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Conference object . 2018
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