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Monotonicity in undirected networks

Bibliographic Data

ID6161641
AuthorsPaolo Boldi (0000-0002-8297-6255, University of Milan), Flavio Furia (0009-0003-5265-4161, University of Milan), Sebastiano Vigna (0000-0002-3257-651X, University of Milan, corresponding author)
Year2023
Volume11
Issue3
Pages351-373
Publication date2023-02-02
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueNetwork Science (JOURNAL)
Journal identifiersISSN: 2050-1250 • E-ISSN: 2050-1242
PublisherCambridge University Press (PUBLISHER • US)
DOI10.1017/nws.2022.42
OpenAlexW4319033145
LanguageEN
Citations received2
References cited19

Is it always beneficial to create a new relationship (have a new follower/friend) in a social network? This question can be formally stated as a property of the centrality measure that defines the importance of the actors of the network. Score monotonicity means that adding an arc increases the centrality score of the target of the arc; rank monotonicity means that adding an arc improves the importance of the target of the arc relatively to the remaining nodes. It is known that most centralities are both score and rank monotone on directed, strongly connected graphs. In this paper, we study the problem of score and rank monotonicity for classical centrality measures in the case of undirected networks: in this case, we require that score, or relative importance, improves at both endpoints of the new edge. We show that, surprisingly, the situation in the undirected case is very different, and in particular that closeness, harmonic centrality, betweenness, eigenvector centrality, Seeley’s index, Katz’s index, and PageRank are not rank monotone; betweenness and PageRank are not even score monotone. In other words, while it is always a good thing to get a new follower, it is not always beneficial to get a new friend

Betweenness centrality · Centrality · Closeness · Combinatorics · Discrete mathematics · Monotone polygon · Monotonic function · PageRank · Rank (graph theory · Complex Network Analysis Techniques · Computer Science · Graph theory and applications · Mathematics · Opinion Dynamics and Social Influence · Theoretical Computer Science

  • Score and rank semi-monotonicity for closeness, betweenness, and distance–decay centralities

    Open Access•Paolo Boldi, Davide D’Ascenzo et al.•Social Network Analysis and Mining•2024

  • Node centrality based on its edges importance

    Open Access•Susana López, S Gama Lopez et al.•Mathematical Social Sciences•2024

  • The Centrality Index of a Graph

    Open Access•Gert Sabidussi•Psychometrika•1966

  • A New Status Index Derived from Sociometric Analysis

    Open Access•Leo Katz•Psychometrika•1953

  • A Set of Measures of Centrality Based on Betweenness

    Linton C Freeman•Sociometry•1977

  • Spectral ranking

    Open Access•Sebastiano Vigna•Network Science•2016

  • Rank monotonicity in centrality measures

    Open Access•Paolo Boldi, Alessandro Luongo et al.•Network Science•2017

  • A Mathematical Model for Group Structures

    Alex Bavelas•Human Organization•1948

Unique citing works2
Citations per year1
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 2

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