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Influence Maximization Revisited

2023
Yihan Geng   +4 more
openaire   +2 more sources

Populational Algorithm for Influence Maximization

2016
Influence maximization is one of the most challenging tasks in network and consists in finding a set of the k seeder nodes which maximize the number of reached nodes, considering a propagation model. This work presents a Genetic Algorithm for influence maximization in networks considering Spreading Activation model for influence propagation.
Carolina Ribeiro Xavier   +2 more
openaire   +1 more source

Influence Blocking Maximization on Networks: Models, Methods and Applications

Physics Reports, 2022
Ling Chen   +2 more
exaly  

Decentralized Online Influence Maximization

2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2022
Yigit E. Bayiz, Ufuk Topcu
openaire   +2 more sources

TSIFIM: A Three-Stage Iterative Framework for Influence Maximization in Complex Networks

Expert Systems With Applications, 2023
Gui-Qiong Xu, Ping-Le Yang, Dong Chen
exaly  

A New Algorithm for Positive Influence Maximization in Signed Networks

Information Sciences, 2020
Wei Liu, Ling Chen, Weijia Ju
exaly  

Influence Maximization

2014
Wei Chen   +2 more
openaire   +2 more sources

Influence Maximization

2018
Arijit Khan, Yuan Ye, Lei Chen
openaire   +2 more sources

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