73
Views
0
CrossRef citations to date
0
Altmetric
Community notes

The early results of a social network analysis of the KM4Dev Main Discussion Group

Pages 202-212 | Published online: 24 Dec 2012
 

Abstract

This paper presents the early results of a social network analysis of the KM4Dev Main Discussion Group. Ten complete years of data, and two years of incomplete data, were provided for analysis. Data was in an XML format and required a considerable iterative data cleansing exercise. Ultimately this process left 703 identified individuals in the network. These people comprise the node-set for the public bounded or contained network, for which activity and various network measures can be applied. Gloor's (Citation2006) Contribution Index was used to attribute and partition the network. 113 key participants were identified as being crucial to the health of the active public network; however, this group appears to be in decline. Overall the Main Discussion Group of the KM4Dev community appears to be a ‘knowledge seeking’ network rather than a ‘knowledge sharing’ network.

Acknowledgements

I wish to acknowledge Pete Cranston, Natalie Campbell, Riff Fullan, Ewen Le Borgne, and Jaap Pels for their help in supplying and interpreting data. I also thank Sarah Cummings for the opportunity to publish this paper.

Notes

1. A central connecter is ‘someone who is highly connected to many others in the network, who may be either a key facilitator or a gatekeeper’; a broker is ‘someone who communicates across subgroups’; and a boundary spanner is a ‘person who connects a department with other departments’ (Anklam Citation2005, p. 344).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.