• DocumentCode
    3415954
  • Title

    Assessing organizational stability via network analysis

  • Author

    Collingsworth, Ben ; Menezes, Ronaldo ; Martins, Paulo

  • Author_Institution
    Dept. of Comput. Sci., Florida Inst. of Technol., Melbourne, FL
  • fYear
    2009
  • fDate
    March 30 2009-April 2 2009
  • Firstpage
    43
  • Lastpage
    50
  • Abstract
    It is widely known that the email system forms a social network. Analysis of email networks reveals properties similar to classic social networks such as friendship or academic collaboration networks. Like other social networks, the properties observed in email networks are the result of patterns of human social behavior rather than the underlying technology. Hence, email social network properties correlate to the social environment in which they are generated. The overall social behavior observed in an organization may be attributed directly to organizational stability and robustness. As a result, organizational health and robustness may be discerned by examining the social network properties of the network formed by the email interaction of its employees because they certainly reflect changes in organizational mood. The fears, worries, gossips, the good and the bad, are reflected in the email activity of individuals in the organization; the challenge though is to extract his information from the network itself. In this paper we provide a first step in the process of demonstrating that email social network analysis can tell us more about the organization than we may think; we show using a case study based on the Enron corporation that problems in the organization were apparent as an emergent characteristic of social network formed by email exchange in the organization.
  • Keywords
    electronic mail; organisational aspects; social networking (online); stability; email networks analysis; organizational stability assessment; social networks; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Financial Engineering, 2009. CIFEr '09. IEEE Symposium on
  • Conference_Location
    Nashville, TN
  • Print_ISBN
    978-1-4244-2774-1
  • Type

    conf

  • DOI
    10.1109/CIFER.2009.4937501
  • Filename
    4937501