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3 - Network analysis

Published online by Cambridge University Press:  05 June 2012

J. David Johnson
Affiliation:
University of Kentucky
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Summary

Network analysis is a highly systematic means of examining the overall configuration of relationships within an organization. The most common form of graphic portrayal of networks contains nodes, shown by circles in Figure 3.1, which represent social units (e.g., people, groups), and relationships (reflected in the lines) of various sorts between them. These elements of graphic representations are essential to most network analysis definitions: “In general, the term ‘network’ is taken to mean a set of units (or nodes) of some kind and the relations of specific types that occur among them” (Alba 1982, p. 42, italics in original).

Because of its generality, network analysis has been used by almost every social science to study specific problems. Network analysis has been the primary means of studying communication structure in organizations for over three decades (Farace, Monge, and Russell 1977) and has become increasingly popular in management and organizational sociology as well (Borgatti and Foster 2003). In fact, so much attention has been paid to network analysis that a comprehensive review, particularly related to data gathering methods (Box 3.1) and computer programs (Box 3.2), of all material linked to it is beyond the scope of this chapter.

Naturally our focus here is on issues fundamental to KN, which will be developed in much more detail in subsequent chapters. Social networking technology is viewed as a key feature of contemporary business approaches to how knowledge spreads within a company (Cross, Parker, and Sasson 2003; Waters 2004). Since networks provide organizations with access to knowledge, resources, and technologies, they are a key source of competitive advantage (Inkpen and Tsang 2005).

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Publisher: Cambridge University Press
Print publication year: 2009

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References

Borgatti, S. P., and Foster, P. C. 2003. The network paradigm in organizational research: a review and typology. Journal of Management, 29: 991–1013.CrossRefGoogle Scholar
Burt, R. S. 1992. Structural Holes: The Social Structure of Competition. Harvard University Press.Google Scholar
Burt, R. S. 2005. Brokerage and Closure: An Introduction to Social Capital. Oxford University Press.Google Scholar
Cross, R., Parker, A., and Sasson, L. (eds.) 2003. Networks in the Knowledge Economy. Oxford University Press.
Monge, P. R., and Contractor, N. S. 2003. Theories of Communication Networks. Oxford University Press.Google Scholar
Newman, M., Barabasi, A., and Watts, D. J. (eds.) 2006. The Structure and Dynamics of Networks. Princeton University Press.
Richards, W. D. 1985. Data, models, and assumptions in network analysis. In McPhee, R. D. and Tompkins, P. K. (eds.), Organizational Communication: Traditional Themes and New Directions: 109–128. Sage.Google Scholar
Scott, J. 2000. Social Network Analysis: A Handbook, 2nd edn., Sage.Google Scholar
Watts, D. J. 2003. Six Degrees: The Science of the Connected Age. W. W. Norton.Google Scholar

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  • Network analysis
  • J. David Johnson, University of Kentucky
  • Book: Managing Knowledge Networks
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511810565.004
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  • Network analysis
  • J. David Johnson, University of Kentucky
  • Book: Managing Knowledge Networks
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511810565.004
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Network analysis
  • J. David Johnson, University of Kentucky
  • Book: Managing Knowledge Networks
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511810565.004
Available formats
×