Abstract

This article describes how Neo4j database capabilities can be utilized to implement measures often used in social network analysis. It gives a brief overview of the concept of Neo4j graph database. The UML class diagram of domain model is presented and discussed in details. On the basis of implementation of degree centrality and local clustering coefficient measures, several Neo4j core features are presented. In the summary, some general comments on using this database as a tool in a social network analysis are provided.

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