Title page for etd-0704102-111157


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URN etd-0704102-111157
Author Chun-Hung Chen
Author's Email Address m8942640@student.nsysu.edu.tw
Statistics This thesis had been viewed 5333 times. Download 4356 times.
Department Information Management
Year 2001
Semester 2
Degree Master
Type of Document
Language English
Title Developing Social Network Analysis System for Virtual Teams in a Professional Virtual Community
Date of Defense 2002-06-27
Page Count 89
Keyword
  • social network analysis
  • Social network
  • virtual team
  • professional virtual community
  • Abstract Social network analysis is used to find all relationships from the group, dig out the prominent patterns, and observe how information flows between dyads. By social network analysis approaches, users can know how information flows through network ties, how people acquire information and resources, and how cleavages and coalitions operate. In this research, we develop a useful social network analysis system to facilitate teams’ collaboration. The system can draw a social network in ego-centered or whole network layout, and provide information of social network attributes of all users. Both team leaders and general members can make use of it to understand relations and interaction patterns of their team. We also generalize social network attributes to analyze task-based teams at different team development stages for discovering the interaction patterns of different groups in groups’ life cycles. Interaction patterns of members in the team and roles that users play have high influence on a virtual team’s development. With these discoveries, team leaders can obtain concise information about their teams’ performance, and community managers can capture stereotypes of virtual teams in the community. From these evaluation results, we confirm that social network analysis is a useful means to analyze the knowledge activities conducted by virtual teams.
    Advisory Committee
  • Feng-Yang Kuo - chair
  • Chih-Ping Wei - co-chair
  • Fu-Ren Lin - advisor
  • Files
  • etd-0704102-111157.pdf
  • indicate access worldwide
    Date of Submission 2002-07-04

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