Centrality and influence spread are two of the most studied concepts in social network
analysis. In recent years, centrality measures have attracted the attention of many …

While many centrality measures for complex networks have been proposed, relatively few
have been developed specifically for weighted, directed (WD) networks. Here we propose a …

In social network analysis, centrality refers to the relevance of actors or nodes within a social
network represented as a graph. Traditional centrality measures are based on topological …

Centrality and influence spread are two of the most studied concepts in social network
analysis. Several centrality measures, most of them, based on topological criteria, have …

In this work, we study the influence maximization in multilayer social networks. This problem
is to find a set of k persons, called seeds, that maximizes the information spread in a …

In this paper, we treat the influence maximization problem in social networks. In this work,
we attach importance to the initial diffusers called the seeds. The main goal is to find in a …

This text is a presentation given during the doctoral sessions of the Ecole Doctorale
Mathématiques et Informatique at Cheikh Anta Diop University. Our aim was simply to …

The emergence of various Internet worms, including the stand-alone Code Red worm that
caused a distributed denial of service (DDoS), has prompted many studies on their …

This text is a presentation given during the doctoral sessions of the Ecole Doctorale
Mathématiques et Informatique at Cheikh Anta Diop University. Our aim was simply to …

La centralidad y la dispersión de influencia son dos de los conceptos más importantes en la
disciplina de análisis en redes sociales. La centralidad determina los actores más …