Advanced Search
Lu Qiang, Huang Jing, Sheng Kaiwei, Xu Wenqiang. Analysis and Visualization of Group Collaborative on Social Networks Relationships[J]. Journal of Computer-Aided Design & Computer Graphics, 2021, 33(2): 177-185. DOI: 10.3724/SP.J.1089.2021.18430
Citation: Lu Qiang, Huang Jing, Sheng Kaiwei, Xu Wenqiang. Analysis and Visualization of Group Collaborative on Social Networks Relationships[J]. Journal of Computer-Aided Design & Computer Graphics, 2021, 33(2): 177-185. DOI: 10.3724/SP.J.1089.2021.18430

Analysis and Visualization of Group Collaborative on Social Networks Relationships

  • The study of social networks is widely applied,which is mainly focused on the change of the social network structure of node and link,and the research angle is relatively single.Group collaboration is common in social networks.To better explore the evolution of group-level network structure in the process of group collaboration,this paper first adds group-level tasks to the task classification for graphic visualization.A task taxonomy suitable for group collaboration relationship analysis is set up according to the characteristics of collaborative relationship networks and tasks to be completed for group collaboration are set up according to this task taxonomy.Then,relevant visual views are designed to display the features and evolution patterns of collaborative relationships among and within groups in a more intuitive way.Finally,a specific case analysis was carried out on the academic collaboration literature data set.Through user evaluation experiments,the Likert scale was used to analyze the questionnaire to verify the effectiveness and practicability of the design visualization view,so as to provide a visual analysis method of group collaboration for social network relationship analysts,facilitating further exploration and application of group collaboration network relationships.
  • loading

Catalog

    Turn off MathJax
    Article Contents

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return