| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 379865 | Electronic Commerce Research and Applications | 2011 | 10 Pages |
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.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Zhongming Ma, Gautam Pant, Olivia R.L. Sheng,