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Identifying Community Structures from Network Data via Maximum Likelihood Methods

Author

Listed:
  • Copic Jernej

    (UCLA)

  • Jackson Matthew O.

    (Stanford University and Santa Fe Institute)

  • Kirman Alan

    (GREQAM)

Abstract

Networks of social and economic interactions are often influenced by unobserved structures among the nodes. Based on a simple model of how an unobserved community structure generates networks of interactions, we axiomatize a method of detecting the latent community structures from network data. The method is based on maximum likelihood estimation.

Suggested Citation

  • Copic Jernej & Jackson Matthew O. & Kirman Alan, 2009. "Identifying Community Structures from Network Data via Maximum Likelihood Methods," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 9(1), pages 1-40, September.
    • Handle: RePEc:bpj:bejtec:v:9:y:2009:i:1:n:30
    DOI: 10.2202/1935-1704.1523
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    References listed on IDEAS

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    1. Rik Pieters & Hans Baumgartner, 2002. "Who Talks to Whom? Intra- and Interdisciplinary Communication of Economics Journals," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 483-509, June.
    2. Aaron Clauset & Cristopher Moore & M. E. J. Newman, 2008. "Hierarchical structure and the prediction of missing links in networks," Nature, Nature, vol. 453(7191), pages 98-101, May.
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    Cited by:

    1. Katharine A. Anderson, "undated". "Group Formation with a Network Constraint," GSIA Working Papers 2012-E49, Carnegie Mellon University, Tepper School of Business.
    2. Wetherilt, Anne & Zimmerman, Peter & Soramaki, Kimmo, 2010. "The sterling unsecured loan market during 2006-08: insights from network theory," Bank of England working papers 398, Bank of England.
    3. Morten L. Bech & Carl T. Bergstrom & Rod Garratt & Martin Rosvall, 2011. "Mapping change in the federal funds market," Staff Reports 507, Federal Reserve Bank of New York.
    4. Antonin Macé, 2023. "The Limits of Citation Counts," Working Papers halshs-01630095, HAL.
    5. Ludkin, Matthew, 2020. "Inference for a generalised stochastic block model with unknown number of blocks and non-conjugate edge models," Computational Statistics & Data Analysis, Elsevier, vol. 152(C).
    6. Vincent Boucher, 2015. "Structural Homophily," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(1), pages 235-264, February.
    7. Gedai, Endre & Kóczy, László Á. & Meier zu Köcker, Gerd & Zombori, Zita, 2015. "About Cooperation, Selfishness and Joint Risks in Clusters," MPRA Paper 65053, University Library of Munich, Germany.
    8. Matthew O. Jackson & Brian W. Rogers & Yves Zenou, 2017. "The Economic Consequences of Social-Network Structure," Journal of Economic Literature, American Economic Association, vol. 55(1), pages 49-95, March.
    9. Anthony Brassil & Gabriela Nodari, 2018. "A Density-based Estimator of Core/Periphery Network Structures: Analysing the Australian Interbank Market," RBA Research Discussion Papers rdp2018-01, Reserve Bank of Australia.
    10. Craig, Ben & von Peter, Goetz, 2014. "Interbank tiering and money center banks," Journal of Financial Intermediation, Elsevier, vol. 23(3), pages 322-347.
    11. Spiros Bougheas & Alan Kirman, 2015. "Complex Financial Networks and Systemic Risk: A Review," Dynamic Modeling and Econometrics in Economics and Finance, in: Pasquale Commendatore & Saime Kayam & Ingrid Kubin (ed.), Complexity and Geographical Economics, edition 127, pages 115-139, Springer.
    12. Sumit Joshi & Poorvi Vora, 2013. "Weak and strong multimarket bidding rings," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 53(3), pages 657-696, August.
    13. Dev, Pritha, 2010. "Identity and Fragmentation in Networks," MPRA Paper 21632, University Library of Munich, Germany.
    14. Stefan, F.M. & Atman, A.P.F., 2015. "Is there any connection between the network morphology and the fluctuations of the stock market index?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 630-641.
    15. Barbara Dluhosch, 2011. "European Economics at a Crossroads, by J. Barkley Rosser, Jr., Richard P. F. Holt, and David Colander," Journal of Regional Science, Wiley Blackwell, vol. 51(3), pages 629-631, August.
    16. Bruno Wichmann, 2015. "Agents of Change and the Approximation of Network Outcomes: a Simulation Study," Networks and Spatial Economics, Springer, vol. 15(1), pages 17-41, March.
    17. Brassil, Anthony & Nodari, Gabriela, 2021. "A Density-Based estimator of core/periphery network structures," Journal of Banking & Finance, Elsevier, vol. 125(C).
    18. J. Barkley Rosser Jr & Richard P.F. Holt & David Colander, 2010. "European Economics at a Crossroads," Books, Edward Elgar Publishing, number 13585.

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