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Hidden Communities in the Russian Social Network Corpus: a Comparative Study of Detection Methods. / Mamaev, Ivan ; Mitrofanova, Olga .

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. 2020. p. 69-78 (CEUR Workshop Proceedings; Vol. 2780).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Mamaev, I & Mitrofanova, O 2020, Hidden Communities in the Russian Social Network Corpus: a Comparative Study of Detection Methods. in 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. CEUR Workshop Proceedings, vol. 2780, pp. 69-78, Computational Models in Language and Speech Workshop (CMLS 2020)
co-located with 16th International Conference on Computational and Cognitive Linguistics (TEL 2020), Kazan, Russian Federation, 12/11/20. <http://ceur-ws.org/Vol-2780/paper6.pdf>

APA

Mamaev, I., & Mitrofanova, O. (2020). Hidden Communities in the Russian Social Network Corpus: a Comparative Study of Detection Methods. In 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 (pp. 69-78). (CEUR Workshop Proceedings; Vol. 2780). http://ceur-ws.org/Vol-2780/paper6.pdf

Vancouver

Mamaev I, Mitrofanova O. Hidden Communities in the Russian Social Network Corpus: a Comparative Study of Detection Methods. In 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. 2020. p. 69-78. (CEUR Workshop Proceedings).

Author

Mamaev, Ivan ; Mitrofanova, Olga . / Hidden Communities in the Russian Social Network Corpus: a Comparative Study of Detection Methods. 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. 2020. pp. 69-78 (CEUR Workshop Proceedings).

BibTeX

@inproceedings{bba746d0d01645dc85a17436f7e2fe2b,
title = "Hidden Communities in the Russian Social Network Corpus: a Comparative Study of Detection Methods",
abstract = "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.",
keywords = "Social Networks, Corpus Linguistics, Jaccard Index, Cluster analysis, Topic Modeling, Automatic topic labeling",
author = "Ivan Mamaev and Olga Mitrofanova",
year = "2020",
month = dec,
day = "18",
language = "English",
series = "CEUR Workshop Proceedings",
pages = "69--78",
booktitle = "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",
note = "Computational Models in Language and Speech Workshop (CMLS 2020)<br/>co-located with 16th International Conference on Computational and Cognitive Linguistics (TEL 2020), CMLS 2020, TEL 2020 ; Conference date: 12-11-2020 Through 13-11-2020",

}

RIS

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 -

ID: 71955265