Visualization of Change of Human Relationships on the Web based on Analysis of Term Appearance in Pages

Hikaru Fujisawa, Ryo Onuma, Hiroki Nakayama, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of the 2019 2nd International Conference on Computational Intelligence and Intelligent Systems, CIIS 2019
PublisherAssociation for Computing Machinery
Pages140-143
Number of pages4
ISBN (Electronic)9781450372596
DOIs
Publication statusPublished - 2019 Nov 23
Event2nd International Conference on Computational Intelligence and Intelligent Systems, CIIS 2019 - Bangkok, Thailand
Duration: 2019 Nov 232019 Nov 25

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2nd International Conference on Computational Intelligence and Intelligent Systems, CIIS 2019
Country/TerritoryThailand
CityBangkok
Period19/11/2319/11/25

Keywords

  • Change of human-connection
  • Dynamic visualization
  • Human relationship network
  • Web visualization

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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