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Robustness to Dependency in Influence Maximization

Management Science
In this paper, we pursue a correlation-robust study of the influence maximization problem. Departing from the classic independent cascade model, we study a diffusion process adversarially adapted to the choice of seed set. More precisely, rather than the independent coupling of known individual edge probabilities, we now evaluate a seed set’s expected
Louis Chen   +3 more
openaire   +1 more source

Influence Maximization Revisited

2023
Yihan Geng   +4 more
openaire   +1 more source

Influence Maximization and Extremal Optimization

2019
Influence Extremal Optimization (InfEO) is an algorithm based on Extremal Optimization, adapted for the influence maximization problem for the independent cascade model. InfEO maximizes the marginal contribution of a node to the influence set of the model.
Tamás Képes   +3 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   +1 more source

A new algorithm for positive influence maximization in signed networks

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

TSIFIM: A three-stage iterative framework for influence maximization in complex networks

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

Influence Maximization

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

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