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

Zhongming Ma, Gautam Pant, Olivia R.L. Sheng

Research output: Contribution to journalArticlepeer-review


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 languageEnglish (US)
Pages (from-to)418-427
Number of pages10
JournalElectronic Commerce Research and Applications
Issue number4
StatePublished - Jul 2011
Externally publishedYes


  • 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


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