Dynamically visualize the human relationship networks on the web depending on the difference of gaze factors

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

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

Abstract

There have been various studies on the visualization of human relationships from information on the Web. These days, it is an important but difficult task to grasp human relationships from the ever-increasing amount of Web information. Moreover, the structure of human relationships and the strength of involvement are constantly changing as the Web information continues to increase with the lapse of time. Furthermore, human relationship will naturally be different depending on the focused persons who a user is interested in and their relation factors. It is therefore important to grasp the change of human relationships including the occurrence timing and transition although such work is more difficult. In this study, we develop methods for dynamically visualizing human relationships on the Web on the basis of different gaze factors. In this paper, we mainly describe the extraction methods and the outline of the support for understanding the dynamic human relationships.

Original languageEnglish
Title of host publicationProceedings of the International Conferences on WWW/Internet 2018 and Applied Computing 2018
EditorsHans Weghorn, Pedro Isaias, Luis Rodrigues
PublisherIADIS Press
Pages420-422
Number of pages3
ISBN (Electronic)9789898533821
Publication statusPublished - 2018 Jan 1
EventInternational Conferences on WWW/Internet, ICWI 2018 and Applied Computing 2018 - Budapest, Hungary
Duration: 2018 Oct 212018 Oct 23

Other

OtherInternational Conferences on WWW/Internet, ICWI 2018 and Applied Computing 2018
CountryHungary
CityBudapest
Period18/10/2118/10/23

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Keywords

  • Dynamic Visualization
  • Human-Relationship Network
  • Relation Factor
  • Web Visualization

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Cite this

Fujisawa, H., Onuma, R., Nakayama, H., Kaminaga, H., Miyadera, Y., & Nakamura, S. (2018). Dynamically visualize the human relationship networks on the web depending on the difference of gaze factors. In H. Weghorn, P. Isaias, & L. Rodrigues (Eds.), Proceedings of the International Conferences on WWW/Internet 2018 and Applied Computing 2018 (pp. 420-422). IADIS Press.

Dynamically visualize the human relationship networks on the web depending on the difference of gaze factors. / Fujisawa, Hikaru; Onuma, Ryo; Nakayama, Hiroki; Kaminaga, Hiroaki; Miyadera, Youzou; Nakamura, Shoichi.

Proceedings of the International Conferences on WWW/Internet 2018 and Applied Computing 2018. ed. / Hans Weghorn; Pedro Isaias; Luis Rodrigues. IADIS Press, 2018. p. 420-422.

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

Fujisawa, H, Onuma, R, Nakayama, H, Kaminaga, H, Miyadera, Y & Nakamura, S 2018, Dynamically visualize the human relationship networks on the web depending on the difference of gaze factors. in H Weghorn, P Isaias & L Rodrigues (eds), Proceedings of the International Conferences on WWW/Internet 2018 and Applied Computing 2018. IADIS Press, pp. 420-422, International Conferences on WWW/Internet, ICWI 2018 and Applied Computing 2018, Budapest, Hungary, 18/10/21.
Fujisawa H, Onuma R, Nakayama H, Kaminaga H, Miyadera Y, Nakamura S. Dynamically visualize the human relationship networks on the web depending on the difference of gaze factors. In Weghorn H, Isaias P, Rodrigues L, editors, Proceedings of the International Conferences on WWW/Internet 2018 and Applied Computing 2018. IADIS Press. 2018. p. 420-422
Fujisawa, Hikaru ; Onuma, Ryo ; Nakayama, Hiroki ; Kaminaga, Hiroaki ; Miyadera, Youzou ; Nakamura, Shoichi. / Dynamically visualize the human relationship networks on the web depending on the difference of gaze factors. Proceedings of the International Conferences on WWW/Internet 2018 and Applied Computing 2018. editor / Hans Weghorn ; Pedro Isaias ; Luis Rodrigues. IADIS Press, 2018. pp. 420-422
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