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Analysis of Directed Signed Networks : Triangles Inventory. / Evmenova, Elizaveta; Gromov, Dmitry.

Networks in the Global World V - Proceedings of NetGloW 2020. ed. / Artem Antonyuk; Nikita Basov. Springer Nature, 2021. p. 120-132 (Lecture Notes in Networks and Systems; Vol. 181).

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

Harvard

Evmenova, E & Gromov, D 2021, Analysis of Directed Signed Networks: Triangles Inventory. in A Antonyuk & N Basov (eds), Networks in the Global World V - Proceedings of NetGloW 2020. Lecture Notes in Networks and Systems, vol. 181, Springer Nature, pp. 120-132, 5th Networks in the Global World Conference, NetGloW 2020, St. Petersburg, Russian Federation, 7/07/20. https://doi.org/10.1007/978-3-030-64877-0_8

APA

Evmenova, E., & Gromov, D. (2021). Analysis of Directed Signed Networks: Triangles Inventory. In A. Antonyuk, & N. Basov (Eds.), Networks in the Global World V - Proceedings of NetGloW 2020 (pp. 120-132). (Lecture Notes in Networks and Systems; Vol. 181). Springer Nature. https://doi.org/10.1007/978-3-030-64877-0_8

Vancouver

Evmenova E, Gromov D. Analysis of Directed Signed Networks: Triangles Inventory. In Antonyuk A, Basov N, editors, Networks in the Global World V - Proceedings of NetGloW 2020. Springer Nature. 2021. p. 120-132. (Lecture Notes in Networks and Systems). https://doi.org/10.1007/978-3-030-64877-0_8

Author

Evmenova, Elizaveta ; Gromov, Dmitry. / Analysis of Directed Signed Networks : Triangles Inventory. Networks in the Global World V - Proceedings of NetGloW 2020. editor / Artem Antonyuk ; Nikita Basov. Springer Nature, 2021. pp. 120-132 (Lecture Notes in Networks and Systems).

BibTeX

@inproceedings{3f547e32908842448dc0692640afa638,
title = "Analysis of Directed Signed Networks: Triangles Inventory",
abstract = "Signed networks form a particular class of complex networks that has many applications in sociology, recommender and voting systems. The contribution of this paper is twofold. First, we propose an approach aimed at determining the characteristic subgraphs of the network. Second, we apply the developed approach to the analysis of the network describing the Wikipedia adminship elections. It is shown that this network agrees with the status theory if one does not consider strongly tied vertices, i.e., the vertices that are connected in both directions. At the same time, the strongly connected vertices mostly agree with the structural balance theory. This result indicates that there is a substantial difference between single and double connections, the fact that deserves a detailed analysis within a broader context of directed signed networks.",
keywords = "Probabilistic methods, Signed graphs, Status theory, Structural balance, Weighted graphs",
author = "Elizaveta Evmenova and Dmitry Gromov",
note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 5th Networks in the Global World Conference, NetGloW 2020 ; Conference date: 07-07-2020 Through 09-07-2020",
year = "2021",
doi = "10.1007/978-3-030-64877-0_8",
language = "English",
isbn = "9783030648763",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Nature",
pages = "120--132",
editor = "Artem Antonyuk and Nikita Basov",
booktitle = "Networks in the Global World V - Proceedings of NetGloW 2020",
address = "Germany",
url = "http://ngw.spbu.ru/",

}

RIS

TY - GEN

T1 - Analysis of Directed Signed Networks

T2 - 5th Networks in the Global World Conference, NetGloW 2020

AU - Evmenova, Elizaveta

AU - Gromov, Dmitry

N1 - Publisher Copyright: © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021

Y1 - 2021

N2 - Signed networks form a particular class of complex networks that has many applications in sociology, recommender and voting systems. The contribution of this paper is twofold. First, we propose an approach aimed at determining the characteristic subgraphs of the network. Second, we apply the developed approach to the analysis of the network describing the Wikipedia adminship elections. It is shown that this network agrees with the status theory if one does not consider strongly tied vertices, i.e., the vertices that are connected in both directions. At the same time, the strongly connected vertices mostly agree with the structural balance theory. This result indicates that there is a substantial difference between single and double connections, the fact that deserves a detailed analysis within a broader context of directed signed networks.

AB - Signed networks form a particular class of complex networks that has many applications in sociology, recommender and voting systems. The contribution of this paper is twofold. First, we propose an approach aimed at determining the characteristic subgraphs of the network. Second, we apply the developed approach to the analysis of the network describing the Wikipedia adminship elections. It is shown that this network agrees with the status theory if one does not consider strongly tied vertices, i.e., the vertices that are connected in both directions. At the same time, the strongly connected vertices mostly agree with the structural balance theory. This result indicates that there is a substantial difference between single and double connections, the fact that deserves a detailed analysis within a broader context of directed signed networks.

KW - Probabilistic methods

KW - Signed graphs

KW - Status theory

KW - Structural balance

KW - Weighted graphs

UR - http://www.scopus.com/inward/record.url?scp=85102628087&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/4319871f-0ede-348b-ac1c-7fc19e8a3d0c/

U2 - 10.1007/978-3-030-64877-0_8

DO - 10.1007/978-3-030-64877-0_8

M3 - Conference contribution

AN - SCOPUS:85102628087

SN - 9783030648763

T3 - Lecture Notes in Networks and Systems

SP - 120

EP - 132

BT - Networks in the Global World V - Proceedings of NetGloW 2020

A2 - Antonyuk, Artem

A2 - Basov, Nikita

PB - Springer Nature

Y2 - 7 July 2020 through 9 July 2020

ER -

ID: 75331597