TY - GEN

T1 - Hidden Communities in the Russian Social Network Corpus: a Comparative Study of Detection Methods

AU - Mamaev, Ivan

AU - Mitrofanova, Olga

PY - 2020/12/18

Y1 - 2020/12/18

N2 - The paper presents a comparative study of different methods thathelp to detect hidden communities within social networks. The tested approaches were divided into three main groups: a graph-based method, a clustering method, and a hybrid method. The experiments were conducted on the Russian corpus of posts from VKontakte social network. We discuss advantages anddisadvantages of all the methods, and predict the ways of their improving.

AB - The paper presents a comparative study of different methods thathelp to detect hidden communities within social networks. The tested approaches were divided into three main groups: a graph-based method, a clustering method, and a hybrid method. The experiments were conducted on the Russian corpus of posts from VKontakte social network. We discuss advantages anddisadvantages of all the methods, and predict the ways of their improving.

KW - Social Networks

KW - Corpus Linguistics

KW - Jaccard Index

KW - Cluster analysis

KW - Topic Modeling

KW - Automatic topic labeling

UR - https://dblp.org/db/conf/acl-cmcl/acl-cmcl2020.html

UR - http://ceur-ws.org/Vol-2780/

M3 - Conference contribution

T3 - CEUR Workshop Proceedings

SP - 69

EP - 78

BT - Proceedings of the Computational Models in Language and Speech Workshop (CMLS 2020) co-located with 16th International Conference on Computational and Cognitive Linguistics (TEL 2020), Kazan, Russia, November 12-13, 2020

T2 - Computational Models in Language and Speech Workshop (CMLS 2020)<br/>co-located with 16th International Conference on Computational and Cognitive Linguistics (TEL 2020)

Y2 - 12 November 2020 through 13 November 2020

ER -