Trust Analysis in Social Network Community Research

Abstract:

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This study is a productivity review on the literature gleaned from SSCI, SCIE databases concerning trust analysis in social network community research. The result indicates that the number of literature productions on trust analysis in social network community is still growing. The main research development country is the United States, and from the analysis of the distribution of language, English is the most popular language. Moreover the research focuses on are mainly empirical research, computational model and recommendation system, we analyze these typical references in detail, also limitations and future research.

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Periodical:

Edited by:

Qi Luo

Pages:

1578-1583

DOI:

10.4028/www.scientific.net/AMM.55-57.1578

Citation:

B. Wu et al., "Trust Analysis in Social Network Community Research", Applied Mechanics and Materials, Vols. 55-57, pp. 1578-1583, 2011

Online since:

May 2011

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$35.00

[1] Chenqi Guo, etl. Social Network Services in China: An Integrated Model of Centrality, Trust and Technology Acceptance. Journal of Global Information Technology Management, 2010, 13(2), pp.76-99.

DOI: 10.1080/1097198x.2010.10856515

[2] DEB SLEDGIANOW SKI, SONGPOL KULVIWAT. Using social network sites: The effects of playfulness, critical mass and trust in a hedonic context. Journal of Computer Information Systems, 2009, summer, pp.74-83.

[3] Wing S. Chow, Lai Sheung Chan. Social network, social trust and shared goals in organizational knowledge sharing. Information & Management 2008, 45, p.458–465.

DOI: 10.1016/j.im.2008.06.007

[4] Frank Edward Walter. A model of a trust-based recommendation system on a social network. Auton Agent Multi-Agent System, 2008, 16, p.57–74.

DOI: 10.1007/s10458-007-9021-x

[5] Cristiano Castelfranchi, etl. Being Trusted in a Social Network: Trust as Relational Capital. TRUST MANAGEMENT, PROCEEDINGS, 2006, pp.19-32.

DOI: 10.1007/11755593_3

[6] Cai-Nicolas Ziegler, etl. Paradigms for Decentralized Social Filtering Exploiting Trust Network Structure. ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS, 2004, pp.840-858.

DOI: 10.1007/978-3-540-30469-2_2

[7] Cutillo LA, etl. Safebook: A Privacy-Preserving Online Social Network Leveraging on Real-Life Trust. IEEE COMMUNICATIONS MAGAZINE, 2009, 47(12), pp.94-101.

DOI: 10.1109/mcom.2009.5350374

[8] Joshua Fogel, Elham Nehmad. Internet social network communities: Risk taking, trust, and privacy concerns. Computers in Human Behavior 2009, 25, p.153–160.

DOI: 10.1016/j.chb.2008.08.006

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