Title | ||
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Evolutionary multiobjective optimization to target social network influentials in viral marketing |
Abstract | ||
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•We apply evolutive multi-objective optimization for the viral marketing problem.•We consider two conflicting objectives (sales revenue and costs) for the viral campaigns.•Sets of non-dominated solutions are given to show different viral marketing strategies.•We propose a novel agent-based modeling framework to simulate the marketing campaigns.•Different scenarios are tested when applying the multi-objective optimization algorithms. |
Year | DOI | Venue |
---|---|---|
2020 | 10.1016/j.eswa.2020.113183 | Expert Systems with Applications |
Keywords | Field | DocType |
Viral marketing,Influence maximization,Influentials targeting,Social networks,Evolutionary multiobjective optimization,Agent-based modeling | Revenue,Viral marketing,Mathematical optimization,Social network,Computer science,Greedy algorithm,Multi-objective optimization,Network topology,Artificial intelligence,Genetic algorithm,Machine learning,Maximization | Journal |
Volume | ISSN | Citations |
147 | 0957-4174 | 2 |
PageRank | References | Authors |
0.40 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Juan Francisco Robles | 1 | 2 | 0.40 |
Manuel Chica | 2 | 142 | 15.07 |
Oscar Cordon | 3 | 75 | 9.21 |