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Populational Algorithm for Influence Maximization
2016Influence 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
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Influence Blocking Maximization on Networks: Models, Methods and Applications
Physics Reports, 2022Ling Chen +2 more
exaly
Decentralized Online Influence Maximization
2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2022Yigit E. Bayiz, Ufuk Topcu
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Influence Maximization Algorithm Based on Gaussian Propagation Model
Information Sciences, 2021Weimin Li
exaly
TSIFIM: A Three-Stage Iterative Framework for Influence Maximization in Complex Networks
Expert Systems With Applications, 2023Gui-Qiong Xu, Ping-Le Yang, Dong Chen
exaly
A New Algorithm for Positive Influence Maximization in Signed Networks
Information Sciences, 2020Wei Liu, Ling Chen, Weijia Ju
exaly

