Centrality Measures in Networks Based on Nodes Attributes, Long-Range Interactions and Group Influence

44 Pages Posted: 2 Jul 2018

See all articles by Fuad T. Aleskerov

Fuad T. Aleskerov

National Research University Higher School of Economics

Natalia Meshcheryakova

National Research University Higher School of Economics

Sergey Shvydun

National Research University Higher School of Economics; Trapeznikov Institute of Control Sciences RAS

Date Written: 2016

Abstract

We propose a new method for assessing agents’ influence in network structures, which takes into consideration nodes attributes, individual and group influences of nodes, and the intensity of interactions. This approach helps us to identify both explicit and hidden central elements which cannot be detected by classical centrality measures or other indices.

Keywords: network analysis, group influence, influence assessment

JEL Classification: D85

Suggested Citation

Aleskerov, Fuad T. and Meshcheryakova, Natalia and Shvydun, Sergey, Centrality Measures in Networks Based on Nodes Attributes, Long-Range Interactions and Group Influence (2016). Available at SSRN: https://ssrn.com/abstract=3196962 or http://dx.doi.org/10.2139/ssrn.3196962

Fuad T. Aleskerov

National Research University Higher School of Economics ( email )

20 Myasnitskaya Ulitsa
Moscow, 101000
Russia

Natalia Meshcheryakova

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Sergey Shvydun (Contact Author)

National Research University Higher School of Economics ( email )

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

Trapeznikov Institute of Control Sciences RAS ( email )

65 Profsoyuznaya street
Moscow, 117997
Russia

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