Paper Info
Title
Analyzing Organizational Structures Using Social Network Analysis
Abstract
Technological changes have aided modem companies to gather enormous amounts of data electronically. The availability of electronic data has exploded within the past decade as communication technologies and storage capacities have grown tremendously. The need to analyze this collected data for creating business intelligence and value continues to grow rapidly as more and more apparently unbiased information can be extracted from these data sets. In this paper we focus in particular, on email corpuses, from which a great deal of information can be discerned about organization structure and their unique cultures. We hypothesize that a broad based analysis of information exchanges (ex. emails) among a company's employees could give us deep information about their respective roles within the organization, thereby revealing hidden organizational structures that hold immense intrinsic value. Enron email corpus is used as a case study to predict the unknown status of Enron employees and identify homogeneous groups of employees and hierarchy among them within Enron organization. We achieve this by using classification and cluster techniques. As a part of this work, we have also developed a web-based graphical user interface to work with feature extraction and composition.
Year
DOI
Venue
2009
10.1007/978-3-642-01915-9_11
ADVANCES IN ENTERPRISE ENGINEERING III
Keywords
Field
DocType
Business intelligence,organizational hierarchies,classification,clustering,Enron email corpus
Organizational network analysis,Electronic data,Organizational structure,Computer science,Social network analysis,Knowledge management,Technological change,Hierarchy,Cluster analysis,Business intelligence
Conference
Volume
ISSN
Citations 
34
1865-1348
2
PageRank 
References 
Authors
0.38
11
5
Name
Order
Citations
PageRank
Chuanlei Zhang15110.12
William B. Hurst220.72
Rathinasamy B. Lenin331.12
Nurcan Yuruk438119.51
srini ramaswamy533745.77