Centrality is one of the most studied concepts in social network analysis. There is a huge
literature regarding centrality measures, as ways to identify the most relevant users in a …

Cooperative game theory considers simple games and influence games as essential
classes of games. A simple game can be viewed as a model of voting systems in which a …

Due to the rapid extension of social networks in recent years, a new potential has emerged
for global spreading of messages and effective broadcasting of news. Identification of …

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 …

The influence maximization problem (IMP) is one of the most important topics in social
network analysis. It consists of finding the smallest seed of users that maximizes the …

Nowadays, companies and organizations require highly competitive professionals that have
the necessary skills to confront new challenges. However, current evaluation techniques do …

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 …

A central problem in network dynamics is understanding how influence spreads through a
social network. This problem can be studied from an optimization approach. The aim is to …

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 …

A method for measuring positional power in hierarchies is proposed. Inspired by models of
cooperative TU-games with restricted cooperation, such as permission structures, we model …