Mining competitor relationships from online news: A network-based approach

Authors:
Zhongming Ma;Gautam Pant;Olivia R. L. Sheng
Affiliations:
Computer Information Systems Department, California State Polytechnic University, Pomona, 3801 West Temple Avenue, Pomona, CA 91768, United States;Department of Operations and Information Systems, The University of Utah, 1645 East Campus Drive, Salt Lake City, UT 84112, United States;Department of Operations and Information Systems, The University of Utah, 1645 East Campus Drive, Salt Lake City, UT 84112, United States
Venue:
Electronic Commerce Research and Applications
Year:
2011

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Abstract

Identifying competitors is important for businesses. We present an approach that uses graph-theoretic measures and machine learning techniques to infer competitor relationships on the basis of structure of an intercompany network derived from company citations (cooccurrence) in online news articles. We also estimate to what extent our approach complements the commercial company profile data sources, such as Hoover's and Mergent.