Assessing organizational stability via network analysis

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.

[1]  Duncan J. Watts,et al.  Six Degrees: The Science of a Connected Age , 2003 .

[2]  A Díaz-Guilera,et al.  Self-similar community structure in a network of human interactions. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[3]  S. Watkins,et al.  Power Failure: The Inside Story of the Collapse of Enron , 2003 .

[4]  M. McPherson,et al.  Birds of a Feather: Homophily in Social Networks , 2001 .

[5]  Stuart A. Kauffman,et al.  The origins of order , 1993 .

[6]  J.D. Sterman,et al.  System Dynamics Modeling: Tools for Learning in a Complex World , 2001, IEEE Engineering Management Review.

[7]  Franco Zambonelli,et al.  Case studies for self-organization in computer science , 2006, J. Syst. Archit..

[8]  S. Bornholdt,et al.  Scale-free topology of e-mail networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[9]  Stephanie Forrest,et al.  Email networks and the spread of computer viruses. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[10]  Vitaly Shmatikov,et al.  How To Break Anonymity of the Netflix Prize Dataset , 2006, ArXiv.

[11]  Vladimir I. Levenshtein,et al.  Binary codes capable of correcting deletions, insertions, and reversals , 1965 .

[12]  Naren Ramakrishnan,et al.  Privacy Risks in Recommender Systems , 2001, IEEE Internet Comput..

[13]  Mark E. J. Newman,et al.  The Structure and Function of Complex Networks , 2003, SIAM Rev..

[14]  Terrill L. Frantz,et al.  Communication Networks from the Enron Email Corpus “It's Always About the People. Enron is no Different” , 2005, Comput. Math. Organ. Theory.

[15]  Robert Bryce,et al.  Pipe Dreams: Greed, Ego, and the Death of Enron , 2002 .

[16]  Joao Antonio Pereira,et al.  Linked: The new science of networks , 2002 .

[17]  Salima Hassas,et al.  Self-Organising Applications: A Survey , 2003 .