6533b7dafe1ef96bd126edae

RESEARCH PRODUCT

Correlations among Game of Thieves and other centrality measures in complex networks

Antonio LiottaGiacomo FiumaraPasquale De MeoAnnamaria Ficara

subject

Social and Information Networks (cs.SI)FOS: Computer and information sciencesTheoretical computer scienceCentrality measureDegree (graph theory)Settore INF/01 - InformaticaComputer scienceClosenessSocial network analysiComputer Science - Social and Information NetworksComplex networkComplex networkBetweenness centralityCorrelation coefficientsCentralityTime complexitySocial network analysisClustering coefficient

description

Social Network Analysis (SNA) is used to study the exchange of resources among individuals, groups, or organizations. The role of individuals or connections in a network is described by a set of centrality metrics which represent one of the most important results of SNA. Degree, closeness, betweenness and clustering coefficient are the most used centrality measures. Their use is, however, severely hampered by their computation cost. This issue can be overcome by an algorithm called Game of Thieves (GoT). Thanks to this new algorithm, we can compute the importance of all elements in a network (i.e. vertices and edges), compared to the total number of vertices. This calculation is done not in a quadratic time, as when we use the classical methods, but in polylogarithmic time. Starting from this we present our results on the correlation existing between GoT and the most widely used centrality measures. From our experiments emerge that a strong correlation exists, which makes GoT eligible as a centrality measure for large scale complex networks.

yearjournalcountryeditionlanguage
2021-01-01
10.1007/978-3-030-67197-6_3http://arxiv.org/abs/2012.13013