Isaac Lozano Osorio
Isaac Lozano Osorio
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A scalable GRASP algorithm for the targeted misinformation blocking problem
The research on Social Network Analysis has exponentially grown in the last decades due to the relevance of social networks in the …
Ivan Penedo
,
Isaac Lozano-Osorio
,
Jesus Sanchez-Oro
PDF
DOI
An efficient and effective GRASP algorithm for the Budget Influence Maximization Problem
This paper presents an efficient GRASP-based algorithm to address the Budget Influence Maximization Problem (BIMP), in which the goal …
Isaac Lozano-Osorio
Dynamic Path Relinking for the Target Set Selection problem
We propose a Dynamic Path Relinking metaheuristic approach to solve the Target Set Selection problem, a combinatorial optimization …
Isaac Lozano-Osorio
Multi-Round Influence Maximization: A Variable Neighborhood Search Approach
This work addresses the Multi-Round Influence Maximization problem, where a set of seed nodes must be selected over several rounds to …
Isaac Lozano-Osorio
A quick GRASP-based method for influence maximization in social networks
This paper proposes a fast and effective GRASP (Greedy Randomized Adaptive Search Procedure) method for the Influence Maximization …
Isaac Lozano-Osorio
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DOI
Nuevos algoritmos metaheurísticos para el análisis de la influencia de los usuarios en las redes sociales
Se presentan nuevos algoritmos metaheurísticos para el análisis y maximización de la influencia de los usuarios en redes sociales, …
Isaac Lozano-Osorio
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New metaheuristic algorithms for the analysis of the user influence in social networks
Presentation of new metaheuristic algorithms for analyzing user influence in social networks. Presented at the Workshop on Evolutionary …
Isaac Lozano-Osorio
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