Analysis of a social network

Abstract

Paper presents an analysis of a social network using a graph, and also taking into account the 802 post that are created by 114 users representing a social network interaction among the users. Input parameters are represented by the adjacency matrix, which is a kind of relationship between users who are nodes of social networks. Data analysis used the software UCINET 6, which is the adjacency matrix input parameter. Obtained results, as well as their interpretation, are related to the following measures: centrality (degree, betweeness, closeness) clustering coefficient, density, reach, geodesic distance, eigenvector.