METHODS OF SOCIAL NETWORK ANALYSIS

Abstract

This work represents a survey of the social network analysis problem. There are four main approaches: structural, resource-based, regulatory, and dynamic. To solve the problems in social network analysis, the following methods are used: graph and stochastic models, models of network evolution, methods involving ontologies, structural and relational models, machine learning methods, network vi-sualization techniques, etc. The paper also describes the most popular computer social networks and some software applications to analyze them. It presents some possible paths of research: creation of an integrated theory of social networks, adaptation of methods of natural language text processing to the online content, etc.