Abstract
Social relations play an important role in a real communities. Interaction patterns reveal relations among actors (such as persons, groups, firms), which can be merged to produce valuable information as a network structure. This paper presents a new approach to extract inter-firm networks from the web for further analysis. Extraction of relations between a pair of firms is realized using a search engine and text processing. Because names of firms co-appear coincidentally on the web, we propose an advanced algorithm, which is characterized by addition of keywords (relation keywords) to a query. The relation keywords are obtained from the web using a Jaccard coefficient. We present some examples and comprehensive evaluations of our approach.
| Original language | English |
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| Title of host publication | Proceedings - The 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007 |
| Pages | 635-642 |
| Number of pages | 8 |
| DOIs | |
| Publication status | Published - 2007 |
| Externally published | Yes |
| Event | 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007 - Tokyo Duration: 2007 Jul 23 → 2007 Jul 26 |
Other
| Other | 9th IEEE International Conference on E-Commerce Technology; The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services, CEC/EEE 2007 |
|---|---|
| City | Tokyo |
| Period | 07/7/23 → 07/7/26 |
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications