Collective intelligence at Enron during the California energy crisis : uncovering collaborative innovation networks using social network analysis
Name
961358167-MIT.pdf
Description
Full printable version
Size
9.53 MB
Format
Adobe PDF
Checksum (MD5)
e344bf93ec758ccb6865d1c2f0149104
Author(s)
Hamdouch, Ilias
Advisor(s)
Peter Gloor.
Alternative Title
Uncovering collaborative innovation networks using social network analysis
Date Issued
2015
Publisher
Massachusetts Institute of Technology
Abstract
As interaction takes place between individuals, relationships are formed and collaboration and innovation emerge. In this thesis I have applied Coolfarming (Gloor, 201 lb), a social network analysis method using Condor, a software tool to quantify communication patterns based on various data sources. I analyzed the Enron email archive to see if communication patterns of convicted employees differ from ordinary ones. Toward that goal, I compared the dynamic semantic social network metrics of 17 Enron employees convicted in the criminal trial following Enron's implosion with a control group of ordinary employees. I focused on 17 mailboxes of 24 Enron executives that were convicted. Identifying criminals based on email behaviors is possible depending on the sampling strategy. When sampling based on employees with comparable total emails, the statistical analysis of the Contribution Index (Ci) metric revealed that criminals were less active. When sampling based on employees with comparable total influence, the statistical analysis of Betweenness Centrality Oscillation (Bco) and Degree Centrality (Bc) metrics revealed that criminals were less connected to others and less creative.
Description
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, System Design and Management Program, Engineering and Management Program, 2015.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 66-68).
Subjects
Engineering and Management Program.
System Design and Management Program.
Engineering Systems Division.
MIT Department
Massachusetts Institute of Technology. Engineering and Management Program
System Design and Management Program.
Terms of Use
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