Language games in investigation of social networks: Finding communities and influential agents

Autor:	L. I. Mikulich, Dmitry A. Gubanov, T. S. Naumkina
Rok vydání:	2016
Předmět:	Alternative methods business.industry Computer science 01 natural sciences Graph 010305 fluids & plasmas Investigation methods Control and Systems Engineering 0103 physical sciences Artificial intelligence Electrical and Electronic Engineering 010306 general physics business On Language
Zdroj:	Automation and Remote Control. 77:144-158
ISSN:	1608-3032 0005-1179
DOI:	10.1134/s0005117916010094
Popis:	The paper presents an investigation method of social networks based on language games. This method is used for finding implicit communities and influential agents in social networks. The authors introduce a naming game and explain how it is applied in investigation of social networks. Simulation results are demonstrated for specially designed graphs and a real-data graph. The authors also survey alternative methods of community detection and compare them with the above-mentioned method.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::46f73b1d7b8923ca2aeef36141adcfd0 https://doi.org/10.1134/s0005117916010094 Zobrazit plný text záznamu Plný text ve formátu PDF