A NETWORK-BASED APPROACH TO MINING COMPETITOR RELATIONSHIPS FROM ONLINE NEWS

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

Research output: Contribution to conferencePaperpeer-review

Abstract

Identifying competitors for an individual company or a group of companies is important for businesses. Although people can consult paid company profile resources such as Hoover’s and Mergent, these sources are incomplete in company relationship coverage. We present an approach that uses graph-theoretic measures and machine learning techniques to achieve automated discovery of 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 could extend the competitor relationships available from the data sources, Hoover’s and Mergent.

Original languageEnglish (US)
StatePublished - 2009
Event30th International Conference on Information Systems, ICIS 2009 - Phoenix, AZ, United States
Duration: Dec 15 2009Dec 18 2009

Other

Other30th International Conference on Information Systems, ICIS 2009
Country/TerritoryUnited States
CityPhoenix, AZ
Period12/15/0912/18/09

Keywords

  • Business news
  • Classification in networked data
  • Competitor discovery
  • Web mining

ASJC Scopus subject areas

  • Information Systems

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