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The small world and scale-free structure of an internet technical community

Published: 30 March 2007 Publication History

Abstract

In this paper, we analyse the structure of the questioning and replying network in a very large Internet technical community, China Software Development Net (CSDN). Results reveal that the CSDN network presents both 'small world' and 'scale free' properties. The technology and knowledge management implications for this network structure are discussed with respect to technical knowledge and innovation diffusion.

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  • (2013)Using Social Network Analysis to Support Collective Decision-Making ProcessEngineering Effective Decision Support Technologies10.4018/978-1-4666-4002-3.ch005(87-103)Online publication date: 2013
  • (2011)Using Social Network Analysis to Support Collective Decision-Making ProcessInternational Journal of Decision Support System Technology10.4018/jdsst.20110401023:2(15-31)Online publication date: 1-Apr-2011

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cover image ACM Conferences
CHIMIT '07: Proceedings of the 2007 symposium on Computer human interaction for the management of information technology
March 2007
124 pages
ISBN:9781595936356
DOI:10.1145/1234772
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 March 2007

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Author Tags

  1. internet technical community
  2. scale free network
  3. small world network
  4. topological structure

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CHiMiT07
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CHIMIT '07 Paper Acceptance Rate 11 of 34 submissions, 32%;
Overall Acceptance Rate 15 of 43 submissions, 35%

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Cited By

View all
  • (2013)Using Social Network Analysis to Support Collective Decision-Making ProcessEngineering Effective Decision Support Technologies10.4018/978-1-4666-4002-3.ch005(87-103)Online publication date: 2013
  • (2011)Using Social Network Analysis to Support Collective Decision-Making ProcessInternational Journal of Decision Support System Technology10.4018/jdsst.20110401023:2(15-31)Online publication date: 1-Apr-2011

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