The Analysis of Research Frontier and Hot Topics about User Behavior in Network Community Based on Mapping Knowledge Domain

Abstract:

By using mapping knowledge domain, this paper analyzes the literature from 2005 to 2013 of user behavior in network community, the results show that with the development of the Internet and the maturity of the social media, the research in this field is increasing. Now, the papers mainly focus on the study of the user behavior, virtual community and online community, and the chief methods are structural equation model and social network analysis, also, they have a deep analyze on trust as an influence factor. First, to have an overall understanding of the research situation, this paper analyzes three aspects as follow: the information of the papers, the author of the papers and the research institutions, second, it focuses on the research frontier and the cited references.

• Periodical: Applied Mechanics and Materials (Volume 610)
• Pages: 620-626
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.610.620
• Online since: August 2014
• Authors: Li Na Jiang*, Xiao Hong Shan
• Keywords: CiteSpace II, Co-Citation Analysis, Mapping Knowledge Domain, Network Community, User Behavior

References

[1] Yin Pang, Kan Li. An Energy Model for Network Community Structure Detection,. Lecture Notes in Computer Science. 2013, (8346): 410-421.

[2] Vicki L. O'Day, Daniel G. Bobrow, Mark Shirley. Network Community Design: A Social-Technical Design Circle,. Computer Supported Cooperative Work. 1998(7): 315-337.

DOI: 10.1023/a:1008691222992

[3] Huang Linghe, Zhu Qinghua, Identification of Online Community User Types and Relationships from the Perspective of Social Roles, information and documentation services. 2013, (2): 84-88.

[4] Jing Yuan. Review of Researches on Users'Information Behavior in Virtual Community. , Library and Information Service . 2011, 55(16): 91-94.

[5] Huang Jing. Behavior and Application Research on Users of Consumptive Virtual Communities, Library and Information Service, 2011, 55(3): 97-100.

[6] Sun Jianfu. The Analysis of Research Frontier and Hot Topics about Information Policy Based on Mapping Knowledge Domain, Information Science, 2010, 28(3): 390-393.

[7] Chen, C. CiteSpace II. Detecting and visualizing emerging trends and transient patterns in scientific literature,. Journal of the American Society for Information Science and Technology, 2006, 57(3): 359-377.

DOI: 10.1002/asi.20317

[8] Fornell, C., D. Larcker. Evaluating structural equation models with unobservable variables and measurement error,. Journal of Marketing Research. 1981, 18 (2): 39–50.

DOI: 10.1177/002224378101800104

[9] I. Ajzen. The theory of planned behavior,. Journal of Organizational Behaviour and Human Decision Processes, 1991, 50(2): 179–211.

DOI: 10.1016/0749-5978(91)90020-t

[10] Wasko, M.M., Faraj, S. Why should I share? Examining social capital and knowledge contribution in electronic networks of practice, MIS Quarterly, 2005, 29(1): 35-57.

DOI: 10.2307/25148667

[11] Davis, F.D. Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 1989, 13(3): 19-39.

DOI: 10.2307/249008