The measuring metrics of weak ties: A quantitative analysis of network structure of online game community and text categorization

Boyang Zhang, Peng Yao, Hannu Kärkkäinen, Thomas Olsson

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

The purpose of this research paper is to explore measuring metrics of weak ties in the online social media game community. Weak ties are able to obtain new information and new knowledge, efficiently disseminate simple and novel information, provide innovativeness and creativity. This research sheds the light on the measurement of weak ties especially in online game communities, seeking answers towards what is being measured and what patterns have been used. A constructive model is provided to advance effective measures in analysing the usage of weak ties about online game communities. This study has gone way towards enhancing the understanding of performances of weak ties in the perspective of network structure and text categorization, revisits the significant of weak ties.

Original languageEnglish
Title of host publicationProceedings of the 14th European Conference on Game Based Learning, ECGBL 2020
EditorsPanagiotis Fotaris
PublisherAcademic Conferences and Publishing International Limited
Pages693-698
Number of pages6
ISBN (Electronic)978-1-912764-70-9
ISBN (Print)978-1-912764-71-6
DOIs
Publication statusPublished - 2020
Publication typeA4 Article in conference proceedings
EventEuropean Conference on Game Based Learning - Virtual, Online
Duration: 24 Sep 202025 Sep 2020

Publication series

NameProceedings of the European Conference on Games-based Learning
Volume2020 September
ISSN (Print)2049-0992
ISSN (Electronic)2049-1018

Conference

ConferenceEuropean Conference on Game Based Learning
CityVirtual, Online
Period24/09/2025/09/20

Keywords

  • Game Communities
  • Modularity
  • Social Networks
  • Text Categorization
  • Weak Ties

Publication forum classification

  • Publication forum level 0

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Human-Computer Interaction
  • Software
  • Control and Systems Engineering
  • Education

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