Computer Analysis of Texts in Social Networks, Its Method and Tools: State-of-the-Art Review

General Contemporary Approach To Social Networks Analysis

The development of social networks is viewed by many representatives of the scientific community as a totally new phenomenon manifesting itself in culture, public life, sociology, and linguistics (e. g. “Internet Communication as New Speech Formation”). New research tasks are being solved with the methods relying on the study of graphs and networks, while tools employed in linguistics, in many cases, are used as auxiliary, interim stages in the general analysis of social networks. In the paper “Methods of Analyses of The Computer Social Networks,” Batura (2012) defines the major directions in this area of research: structural, resource, normative and dynamic (with the key tools for analyzing the social networks being graph and stochastic models, models of network evolution, methods involving ontologies, structural and relational models, machine learning, graph visualization techniques, etc.). The feasible paths for further research are identified as the creation of a synthetic theory of social networks and a greater adaptation of language text processing to the network content.