Power in network structures

Fuad Aleskerov; Natalia Meshcheryakova; Sergey Shvydun

doi:10.1007/978-3-319-56829-4_7

Power in network structures

Fuad Aleskerov^*, Natalia Meshcheryakova, Sergey Shvydun

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

15 Citations (Scopus)

Abstract

We consider an application of power indices, which take into account preferences of agents for coalition formation proposed for an analysis of power distribution in elected bodies to reveal most powerful (central) nodes in networks. These indices take into account the parameters of the nodes in networks, a possibility of group influence from the subset of nodes to single nodes, and intensity of short and long interactions among the nodes.

Original language	English
Title of host publication	Models, Algorithms, and Technologies for Network Analysis - NET 2016
Editors	Panos M. Pardalos, Valery A. Kalyagin, Alexey I. Nikolaev, Oleg A. Prokopyev
Publisher	Springer
Pages	79-85
Number of pages	7
ISBN (Print)	9783319568287
DOIs	https://doi.org/10.1007/978-3-319-56829-4_7
Publication status	Published - 2017
Externally published	Yes
Event	6th International Conference on Network Analysis, NET 2016 - Nizhny Novgorod, Russian Federation Duration: 26 May 2016 → 28 May 2016

Publication series

Name	Springer Proceedings in Mathematics and Statistics
Volume	197
ISSN (Print)	2194-1009
ISSN (Electronic)	2194-1017

Conference

Conference	6th International Conference on Network Analysis, NET 2016
Country/Territory	Russian Federation
City	Nizhny Novgorod
Period	26/05/16 → 28/05/16

Access to Document

10.1007/978-3-319-56829-4_7

Cite this

@inproceedings{235c485937e941c1a13ff3e74c252b5f,

title = "Power in network structures",

abstract = "We consider an application of power indices, which take into account preferences of agents for coalition formation proposed for an analysis of power distribution in elected bodies to reveal most powerful (central) nodes in networks. These indices take into account the parameters of the nodes in networks, a possibility of group influence from the subset of nodes to single nodes, and intensity of short and long interactions among the nodes.",

author = "Fuad Aleskerov and Natalia Meshcheryakova and Sergey Shvydun",

year = "2017",

doi = "10.1007/978-3-319-56829-4_7",

language = "English",

isbn = "9783319568287",

series = "Springer Proceedings in Mathematics and Statistics",

publisher = "Springer",

pages = "79--85",

editor = "Pardalos, {Panos M.} and Kalyagin, {Valery A.} and Nikolaev, {Alexey I.} and Prokopyev, {Oleg A.}",

booktitle = "Models, Algorithms, and Technologies for Network Analysis - NET 2016",

note = "6th International Conference on Network Analysis, NET 2016 ; Conference date: 26-05-2016 Through 28-05-2016",

}

Aleskerov, F, Meshcheryakova, N & Shvydun, S 2017, Power in network structures. in PM Pardalos, VA Kalyagin, AI Nikolaev & OA Prokopyev (eds), Models, Algorithms, and Technologies for Network Analysis - NET 2016. Springer Proceedings in Mathematics and Statistics, vol. 197, Springer, pp. 79-85, 6th International Conference on Network Analysis, NET 2016, Nizhny Novgorod, Russian Federation, 26/05/16. https://doi.org/10.1007/978-3-319-56829-4_7

Power in network structures. / Aleskerov, Fuad; Meshcheryakova, Natalia; Shvydun, Sergey.
Models, Algorithms, and Technologies for Network Analysis - NET 2016. ed. / Panos M. Pardalos; Valery A. Kalyagin; Alexey I. Nikolaev; Oleg A. Prokopyev. Springer, 2017. p. 79-85 (Springer Proceedings in Mathematics and Statistics; Vol. 197).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Power in network structures

AU - Aleskerov, Fuad

AU - Meshcheryakova, Natalia

AU - Shvydun, Sergey

PY - 2017

Y1 - 2017

N2 - We consider an application of power indices, which take into account preferences of agents for coalition formation proposed for an analysis of power distribution in elected bodies to reveal most powerful (central) nodes in networks. These indices take into account the parameters of the nodes in networks, a possibility of group influence from the subset of nodes to single nodes, and intensity of short and long interactions among the nodes.

AB - We consider an application of power indices, which take into account preferences of agents for coalition formation proposed for an analysis of power distribution in elected bodies to reveal most powerful (central) nodes in networks. These indices take into account the parameters of the nodes in networks, a possibility of group influence from the subset of nodes to single nodes, and intensity of short and long interactions among the nodes.

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U2 - 10.1007/978-3-319-56829-4_7

DO - 10.1007/978-3-319-56829-4_7

M3 - Conference contribution

AN - SCOPUS:85022329124

SN - 9783319568287

T3 - Springer Proceedings in Mathematics and Statistics

SP - 79

EP - 85

BT - Models, Algorithms, and Technologies for Network Analysis - NET 2016

A2 - Pardalos, Panos M.

A2 - Kalyagin, Valery A.

A2 - Nikolaev, Alexey I.

A2 - Prokopyev, Oleg A.

PB - Springer

T2 - 6th International Conference on Network Analysis, NET 2016

Y2 - 26 May 2016 through 28 May 2016

ER -

Power in network structures

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