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Game-Theoretic Framework for Community Detection

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Encyclopedia of Social Network Analysis and Mining

Synonyms

Community detection; Game theory; Modularity measures; Social networks

Glossary

CDG:

Community detection game

LFR:

A model of games with built-in community structure

Network Structure:

An abstraction of how groups of individuals interact with each other

NMI:

Normalized mutual information

Social Network:

A network made up of a set of individuals or organizations and ties (edges) between the individuals

The Resolution Limit:

The limitations in detecting small community structures in a large network

Introduction

“Communities” constitute an important aspect of networks, and studying their formation and dynamics is essential. Graphs without communities, e.g., those in which any edge may exist with the same probability, are interesting objects for mathematical study but are rarely mirrored in real life. A rough analogy is the distribution of matter in the universe: if it had been uniform, with no galaxies, stars, or planets, it would be far less interesting than our current...

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, 13214, USA

    Patrick J. McSweeney, Kishan Mehrotra & Jae C. Oh

Authors
  1. Patrick J. McSweeney
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  2. Kishan Mehrotra
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  3. Jae C. Oh
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Corresponding author

Correspondence to Patrick J. McSweeney .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Reda Alhajj

  2. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Jon Rokne

Section Editor information

  1. Department of Electrical and Computer Engineering, Centre for Pattern Analysis and Machine Intelligence (CPAMI), University of Waterloo, Waterloo, ON, Canada

    Fakhreddine Karray

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McSweeney, P.J., Mehrotra, K., Oh, J.C. (2018). Game-Theoretic Framework for Community Detection. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-7131-2_350

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