Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.elerap.2010.11.006 | Electronic Commerce Research and Applications |
Keywords | Field | DocType |
intercompany network,competitor discovery,network-based approach,company citation,business news,classification in networked data,online news article,identifying competitor,mining competitor relationship,graph-theoretic measure,commercial company profile data,competitor relationship,web mining,machine learning | Data science,World Wide Web,Web mining,Computer science,Marketing,Competitor analysis | Journal |
Volume | Issue | ISSN |
10 | 4 | Electronic Commerce Research and Applications |
Citations | PageRank | References |
17 | 0.69 | 21 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhongming Ma | 1 | 133 | 7.33 |
| Gautam Pant | 2 | 593 | 31.72 |
| Olivia R. L. Sheng | 3 | 60 | 2.94 |