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.
Original language | English (US) |
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Pages (from-to) | 418-427 |
Number of pages | 10 |
Journal | Electronic Commerce Research and Applications |
Volume | 10 |
Issue number | 4 |
DOIs | |
State | Published - Jul 2011 |
Externally published | Yes |
Keywords
- Business news
- Classification in networked data
- Competitor discovery
- Web mining
ASJC Scopus subject areas
- Computer Science Applications
- Computer Networks and Communications
- Marketing
- Management of Technology and Innovation