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Extracting Inter-Firm Networks fromWorldWideWeb
National Center of Sciences, Tokyo, Japan July 23-July 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CEC-EEE.2007.48The 9th IEEE International Conference ...
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Yingzi Jin, Yutaka Matsuo, Mitsuru Ishizuka, "Extracting Inter-Firm Networks fromWorldWideWeb," E-Commerce Technology, IEEE International Conference on, and Enterprise Computing, E-Commerce, and E-Services, IEEE International Conference on, pp. 635-642, The 9th IEEE International Conference on E-Commerce Technology and The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services (CEC-EEE 2007), 2007.
 
 
BibTex
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@article{ 10.1109/CEC-EEE.2007.48,
author = {Yingzi Jin and Yutaka Matsuo and Mitsuru Ishizuka},
title = {Extracting Inter-Firm Networks fromWorldWideWeb},
journal ={E-Commerce Technology, IEEE International Conference on, and Enterprise Computing, E-Commerce, and E-Services, IEEE International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2913-5},
pages = {635-642},
doi = {http://doi.ieeecomputersociety.org/10.1109/CEC-EEE.2007.48},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - E-Commerce Technology, IEEE International Conference on, and Enterprise Computing, E-Commerce, and E-Services, IEEE International Conference on
TI - Extracting Inter-Firm Networks fromWorldWideWeb
SN - 0-7695-2913-5
SP635
EP642
A1 - Yingzi Jin,
A1 - Yutaka Matsuo,
A1 - Mitsuru Ishizuka,
PY - 2007
KW - null
VL - 0
JA - E-Commerce Technology, IEEE International Conference on, and Enterprise Computing, E-Commerce, and E-Services, IEEE International Conference on
ER -
 
Yingzi Jin, University of Tokyo
Yutaka Matsuo, National Institute of Advanced Industrial Science and Technology
Mitsuru Ishizuka, University of Tokyo, Japan
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.
Citation:
Yingzi Jin, Yutaka Matsuo, Mitsuru Ishizuka, "Extracting Inter-Firm Networks fromWorldWideWeb," cec-eee, pp.635-642, The 9th IEEE International Conference on E-Commerce Technology and The 4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services (CEC-EEE 2007), 2007
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