Methods for dynamic extraction of important portion from the context network based on the contribution degree on the small world structure

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

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

Abstract

Stacking occurs in the composite creation of documents (e.g., such as academic papers, presentation slides, and notes) and when they are refined in research activities. It is important but actually difficult for researchers to satisfactorily accumulate the deliverables for each work and their circumstances so that they can skillfully conduct later work. This problem becomes particularly serious for research beginners. Therefore, there is an urgent need to train research beginners in skills to nail down gaze targets in contexts that continue to increase according to progress as research advances. The final goal of this research was to develop novel methods of training beginners in skills on refining research by extracting the candidates of gaze targets from accumulated contexts and visually presenting them to research beginners. Our project has proposed methods of accumulating the contexts involved with trial and error in the processes of refining research documents and of organizing them into context networks. This paper mainly gives a detailed description of the theoretical methods for dynamically extracting the important sub-network, which is to be carefully examined according to the focus node, from the context network.

Original languageEnglish
Title of host publication2016 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages138-143
Number of pages6
ISBN (Electronic)9781467390606
DOIs
Publication statusPublished - 2017 Aug 11
Externally publishedYes
Event2016 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2016 - Langkawi, Kedah, Malaysia
Duration: 2016 Oct 102016 Oct 12

Other

Other2016 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2016
CountryMalaysia
CityLangkawi, Kedah
Period16/10/1016/10/12

Keywords

  • Context network
  • Contexts of trial and error
  • Degree of contribution
  • Network analysis
  • Refinement process in research work
  • Research skill maturation Introduction (Heading 1)
  • Small World

ASJC Scopus subject areas

  • Management Information Systems
  • Computer Science Applications
  • Education
  • Computer Networks and Communications

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    Onuma, R., Nakayama, H., Kaminaga, H., Miyadera, Y., & Nakamura, S. (2017). Methods for dynamic extraction of important portion from the context network based on the contribution degree on the small world structure. In 2016 IEEE Conference on e-Learning, e-Management and e-Services, IC3e 2016 (pp. 138-143). [8009055] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IC3e.2016.8009055