Visualization of Change of Human Relationships on the Web based on Analysis of Term Appearance in Pages
Authors: 
Hikaru Fujisawa, Ryo Onuma, Hiroki Nakayama, Hiroaki Kaminaga, Youzou Miyadera, Shoichi NakamuraAuthors Info & Claims
Hikaru Fujisawa, Ryo Onuma, Hiroki Nakayama, Hiroaki Kaminaga, Youzou Miyadera, Shoichi NakamuraAuthors Info & ClaimsPages 140 - 143
Abstract
Along with enlargement of the Web, intellectual work conducted on it has been diversified and advanced. Accordingly, human relationships on the Web has gradually complicated. It is clearly beneficial to satisfactorily understand such human relationships. However, it has become difficult more and more to understand such relationships since human connections has been complicated together with advancement of the work on the Web. Although there have exist many research projects on visualization of human relation networks, most existing methods can handle only static relationships. In this research, we develop methods for visualizing change of human relationships on the basis of analysis of term appearance in Web pages accumulated at multiple timing. This paper describes overview of our methods with the example.
References
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Yutaka Mtsuo, Hironori Tomobe, Koiti Hasida, Hideyuki Nakashima, Mitsuru Ishizuka, "Social Network Extraction from the Web information", Transactions of the Japanese Society for Artificial Intelligence, Vol.20, No.1, pp.46--56, 2005.
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Christopher McCarty, James W. Jawitz, Allison Hopkins, Alex Goldman, "Predicting author h-index using characteristics of the co-author network", Scientometrics, Vol.96, Issue.2, pp.467--483, 2013.
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Sergio Orenga-Roglá, Ricardo Chalmeta, "Social customer relationship management: taking advantage of Web 2.0 and Big Data technologies", SpringerPlus, Vol.5, No.1462, 2016.
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Peter Brusilovsky, Jung Sun Oh, Claudia López, Denis Parra, Wei Jeng, "Linking information and people in a social system for academic conferences", New Review of Hypermedia and Multimedia, Vol.23, No.2, pp.81--111, 2017.
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SPYSEE2(http://spysee2.jp/)
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- Visualization of Change of Human Relationships on the Web based on Analysis of Term Appearance in Pages
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Published In
November 2019
200 pages
ISBN:9781450372596
DOI:10.1145/3372422
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In-Cooperation
- Queensland University of Technology
- City University of Hong Kong: City University of Hong Kong
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 07 February 2020
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- Research
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CIIS 2019
CIIS 2019: 2019 The 2nd International Conference on Computational Intelligence and Intelligent Systems
November 23 - 25, 2019
Bangkok, Thailand
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