Many-Objective Evolutionary Influence Maximization: Balancing Spread, Budget, Fairness, and Time

Author:

Cunegatti Elia1ORCID,Custode Leonardo1ORCID,Iacca Giovanni1ORCID

Affiliation:

1. University of Trento, Trento, Italy

Publisher

ACM

Reference22 articles.

1. On the fairness of time-critical influence maximization in social networks;Ali Junaid;IEEE Transactions on Knowledge and Data Engineering,2023

2. Efficient algorithms for budgeted influence maximization on massive social networks

3. An improved clustering based multi-objective evolutionary algorithm for influence maximization under variable-length solutions

4. Tarun K Biswas, Alireza Abbasi, and Ripon K Chakrabortty. 2022. Multi-Objective Influence Maximization Under Varying-Size Solutions and Constraints. In IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. IEEE, New York, NY, USA, 285--292.

5. Doina Bucur and Giovanni Iacca. 2016. Influence maximization in social networks with genetic algorithms. In Applications of Evolutionary Computation. Springer, Cham, Switzerland, 379--392.

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