Skip to main content

Clustering and Content Overlap in Networked Consumers

  • Chapter
Networked Consumers
  • 105 Accesses

Abstract

In previous chapters, a categorization of personal consumption in information and conventional goods has been introduced. It was posited that consumption of information in networks can increase efficiency for consumer objectives through properties of low obsolescence rates and non-rival borrowing. Welfare losses can occur because agents acting as independent entities do not typically include network externalities such as non-rival borrowing in the network in their allocation heuristics. As previously assessed, the contribution of non-rival borrowing to the stock of information clearly depends on the structure of consumer networks. In this chapter, I will more comprehensively address emergent properties of structure in the small world network as they relate to the consumption of information.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Barrat, A. and Weigt, M. (2000) “On the properties of small-world network models”, European Physical Journal B, 13, 547–60.

    Article  Google Scholar 

  • Cowan, R. and Jonard, N. (2004) “Network structure and the diffusion of knowledge”, Journal of Economic Dynamics and Control, 28, 1557–75.

    Article  Google Scholar 

  • Knell, M. (1999) “Social comparisons, inequality, and growth”, Journal of Institutional and Theoretical Economics, 155, 664–95.

    Google Scholar 

  • Koolman, X. and Van Doorslaer, E. (2004) “On the interpretation of a concentration index of inequality”, Health Economics, 13, 649–56.

    Article  Google Scholar 

  • Manski, C. (2000) “Economic analysis of social interactions”, Journal of Economic Perspectives, 14, 115–36.

    Article  Google Scholar 

  • Newman, M.E.J. (2001) “Clustering and preferential attachment in growing networks”, Physical Review E, 64, 025102–1 – 025102–4.

    Google Scholar 

  • Watts, D. (1999) Small World (Princeton, NJ: Princeton University Press).

    Google Scholar 

  • Watts, D. and Strogatz, S. (1998) “Collective dynamics of small-world networks”, Nature, 393, 440–42.

    Article  Google Scholar 

  • Wegener, B. (1991) “Job mobility and social ties: Social resources, prior job, and status attainment”, American Sociological Review, 56, 60–71.

    Article  Google Scholar 

Download references

Authors

Copyright information

© 2012 Steven D. Silver

About this chapter

Cite this chapter

Silver, S.D. (2012). Clustering and Content Overlap in Networked Consumers. In: Networked Consumers. Palgrave Macmillan, London. https://doi.org/10.1057/9780230362550_4

Download citation

Publish with us

Policies and ethics