IDEAS home Printed from https://ideas.repec.org/a/spr/comaot/v19y2013i1d10.1007_s10588-011-9104-8.html
   My bibliography  Save this article

Exploring communication networks to understand organizational crisis using exponential random graph models

Author

Listed:
  • Shahadat Uddin

    (The University of Sydney)

  • Jafar Hamra

    (The University of Sydney)

  • Liaquat Hossain

    (The University of Sydney)

Abstract

In recent social network studies, exponential random graph (ERG) models have been used comprehensively to model global social network structure as a function of their local features. In this study, we describe the ERG models and demonstrate its use in modelling the changing communication network structure at Enron Corporation during the period of its disintegration. We illustrate the modelling on communication networks, and provide a new way of classifying networks and their performance based on the occurrence of their local features. Among several micro-level structures of ERG models, we find significant variation in the appearance of A2P (Alternating k-two-paths) network structure in the communication network during crisis period and non-crisis period. We also notice that the attribute of hierarchical positions of actors (i.e., high rank versus low rank staff) have impact on the evolution process of networks during crisis. These findings could be used in analyzing communication networks of dynamic project groups and their adaptation process during crisis which could lead to an improved understanding how communications network evolve and adapt during crisis.

Suggested Citation

  • Shahadat Uddin & Jafar Hamra & Liaquat Hossain, 2013. "Exploring communication networks to understand organizational crisis using exponential random graph models," Computational and Mathematical Organization Theory, Springer, vol. 19(1), pages 25-41, March.
    • Handle: RePEc:spr:comaot:v:19:y:2013:i:1:d:10.1007_s10588-011-9104-8
    DOI: 10.1007/s10588-011-9104-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10588-011-9104-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10588-011-9104-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jana Diesner & Terrill L. Frantz & Kathleen M. Carley, 2005. "Communication Networks from the Enron Email Corpus “It's Always About the People. Enron is no Different”," Computational and Mathematical Organization Theory, Springer, vol. 11(3), pages 201-228, October.
    2. Stanley Wasserman & Philippa Pattison, 1996. "Logit models and logistic regressions for social networks: I. An introduction to Markov graphs andp," Psychometrika, Springer;The Psychometric Society, vol. 61(3), pages 401-425, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Samrachana Adhikari & Beau Dabbs, 2018. "Social Network Analysis in R: A Software Review," Journal of Educational and Behavioral Statistics, , vol. 43(2), pages 225-253, April.
    2. David Levinson & Arthur Huang, 2012. "A Positive Theory of Network Connectivity," Environment and Planning B, , vol. 39(2), pages 308-325, April.
    3. Lomi, Alessandro & Fonti, Fabio, 2012. "Networks in markets and the propensity of companies to collaborate: An empirical test of three mechanisms," Economics Letters, Elsevier, vol. 114(2), pages 216-220.
    4. Gaonkar, Shweta & Mele, Angelo, 2023. "A model of inter-organizational network formation," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 82-104.
    5. Liu, Jie & Ge, Huilin, 2022. "Collaboration mechanisms and community detection of statisticians based on ERGMs and kNN-walktrap," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).
    6. Chih‐Sheng Hsieh & Lung‐Fei Lee & Vincent Boucher, 2020. "Specification and estimation of network formation and network interaction models with the exponential probability distribution," Quantitative Economics, Econometric Society, vol. 11(4), pages 1349-1390, November.
    7. Krivitsky, Pavel N., 2017. "Using contrastive divergence to seed Monte Carlo MLE for exponential-family random graph models," Computational Statistics & Data Analysis, Elsevier, vol. 107(C), pages 149-161.
    8. Andreas Schwab & Zhu Zhang, 2019. "A New Methodological Frontier in Entrepreneurship Research: Big Data Studies," Entrepreneurship Theory and Practice, , vol. 43(5), pages 843-854, September.
    9. Alessandro Lomi & Philippa Pattison, 2006. "Manufacturing Relations: An Empirical Study of the Organization of Production Across Multiple Networks," Organization Science, INFORMS, vol. 17(3), pages 313-332, June.
    10. Wong, Ling Heng & Pattison, Philippa & Robins, Garry, 2006. "A spatial model for social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 360(1), pages 99-120.
    11. Guo, Yaoqi & Zhao, Boya & Zhang, Hongwei, 2023. "The impact of the Belt and Road Initiative on the natural gas trade: A network structure dependence perspective," Energy, Elsevier, vol. 263(PD).
    12. De Nicola, Giacomo & Fritz, Cornelius & Mehrl, Marius & Kauermann, Göran, 2023. "Dependence matters: Statistical models to identify the drivers of tie formation in economic networks," Journal of Economic Behavior & Organization, Elsevier, vol. 215(C), pages 351-363.
    13. Gauer, Florian & Landwehr, Jakob, 2014. "Continuous homophily and clustering in random networks," Center for Mathematical Economics Working Papers 515, Center for Mathematical Economics, Bielefeld University.
    14. Shiu, Jing-Ming & Dallas, Mark P. & Huang, Hui-Hsuan, 2023. "A friend of a friend? Informal authority, social capital, and networks in telecommunications standard-setting organizations," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    15. Vyrost, Tomas, 2015. "Country and industry effects in CEE stock market networks: Preliminary results," MPRA Paper 65775, University Library of Munich, Germany.
    16. Chu-Shore, Jesse, 2010. "Homogenization and Specialization Effects of International Trade: Are Cultural Goods Exceptional?," World Development, Elsevier, vol. 38(1), pages 37-47, January.
    17. Chica-Olmo, Jorge & Rodríguez-López, Carlos & Chillón, Palma, 2018. "Effect of distance from home to school and spatial dependence between homes on mode of commuting to school," Journal of Transport Geography, Elsevier, vol. 72(C), pages 1-12.
    18. Diliara Valeeva & Oleg Poldin & Maria Yudkevich, 2013. "Friendly Relationships and Relationships of Assistance at a University," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 4, pages 70-84.
    19. Sayan Chakraborty & Arnab Bhattacharjee & Taps Maiti, 2021. "Structural Factorization of Latent Adjacency Matrix, with an application to Auto Industry Networks," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 185-206, November.
    20. Timo Mitze & Falk Strotebeck, 2012. "What Drives Regional Cooperative Behavior in German Biotechnology? Embedding Social Network Analysis in a Regression Framework," ERSA conference papers ersa12p629, European Regional Science Association.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:comaot:v:19:y:2013:i:1:d:10.1007_s10588-011-9104-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.