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A study of social behavior in collaborative user generated services

Published: 20 February 2012 Publication History

Abstract

User-generated content has become more and more popular. The success of collaborative content creation such as Wikipedia shows the level of user's accomplishments in knowledge sharing and socialization. In this paper we extend this research in the service domain, to explore users' social behavior in Collaborative User-Generated Services (Co-UGS). We create a model which is derived from a real social network with its behavior being similar to that of Co-UGS. The centrality approach of social network analysis is used to analyze Co-UGS simulation on this model. Three Co-UGS network actors are identified to distinguish users according to their reactions to a service, i.e. ignoring users, sharing users and co-creating users. Moreover, six hypotheses are proposed to keep the Co-UGS simulation. The results show that the Co-UGS network constructed by the sharing and co-creating users is a connected group superimposed on the basis of the social network of users. In addition, the feasibility of this simulation method is demonstrated along with the validity of applying social network analysis to the study of users' social behavior in Co-UGS.

References

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Z. Zhao, N. Laga, N. Crespi, "A Survey of User Generated Services. IEEE International Conference on Network Infrastructure and Digital Content" (IC-NIDC 2009), Beijing, China, Nov 6--8, 2009.
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Z. Zhao, N. Laga and N. Crespi, "The Incoming Trends of End-user Driven Service Creation". Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST), Volume 21, pp. 98--108, 2009, Springer-Verlag.
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B. Gholami, and R. Safavi, "Harnessing Collective Intelligence: Wiki and Social Network from End-user Perspective", International Conference on e-Education, e-Business, e-Management and e-Learning, Sanya, China, January 22--January 24, 2009, pp. 242--246.
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Linton C. Freeman. "Centrality in social networks: conceptual clarification" {J}. Social Networks, 1979, 1: 215--239.
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Borgatti, S. P., Everett, M. G. and Freeman, L. C. 2002. Ucinet for Windows: Software for Social Network Analysis. Harvard, MA: Analytic Technologies.
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Stanford Large Network Dataset Collection, http://snap.stanford.edu/data/wiki-Vote.html
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Borgatti, S. P., Everett, M. G. and Freeman, L. C. 2002. Ucinet for Windows: Software for Social Network Analysis. Harvard, MA: Analytic Technologies.
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Cited By

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  • (2019)Idea Crowdsourcing for Innovation: Fundamentals and RecommendationsManagement & Data Science10.36863/mds.a.121Online publication date: Apr-2019
  • (2018)Einführung von Crowd-Based Support Dienstleistungen zur Verbesserung der SoftwareeinführungService Engineering10.1007/978-3-658-20905-6_9(133-149)Online publication date: 26-May-2018

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cover image ACM Conferences
ICUIMC '12: Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
February 2012
852 pages
ISBN:9781450311724
DOI:10.1145/2184751
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Publication History

Published: 20 February 2012

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Author Tags

  1. centrality
  2. data mining
  3. social network analysis
  4. user generated services

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Overall Acceptance Rate 251 of 941 submissions, 27%

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Cited By

View all
  • (2019)Idea Crowdsourcing for Innovation: Fundamentals and RecommendationsManagement & Data Science10.36863/mds.a.121Online publication date: Apr-2019
  • (2018)Einführung von Crowd-Based Support Dienstleistungen zur Verbesserung der SoftwareeinführungService Engineering10.1007/978-3-658-20905-6_9(133-149)Online publication date: 26-May-2018

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