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Cited by 335

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Global Village or Cyber-Balkans? Modeling and Measuring the Integration of Electronic Communities

Van Alstyne, Marshall, Brynjolfsson, Erik·2005·Management Science

Abstract

Information technology can link geographically separated people and help them locate interesting or useful resources. These attributes have the potential to bridge gaps and unite communities. Paradoxically, they also have the potential to fragment interaction and divide groups. Advances in technology can make it easier for people to spend more time on special interests and to screen out unwanted contact. Geographic boundaries can thus be supplanted by boundaries on other dimensions. This paper formally defines a precise set of measures of information integration and develops a model of individual knowledge profiles and community affiliation. These factors suggest specific conditions under which improved access, search, and screening can either integrate or fragment interaction on various dimensions. As IT capabilities continue to improve, preferences—not geography or technology—become the key determinants of community boundaries.

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Metadata

Authors
Van Alstyne, M., & Brynjolfsson, E.
Venue
Management Science
Published
2005-06
Volume
51
Issue
6
Pages
851-868
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W2101134179
Cited by
335
References
3
FWCI
67.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Global Village or Cyber-Balkans? Modeling and Measuring the Integration of Electronic Communities. https://app.cochat.ai/papers/10.1287/mnsc.1050.0363
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Van Alstyne, M., & Brynjolfsson, E. (2005). Global Village or Cyber-Balkans? Modeling and Measuring the Integration of Electronic Communities. Management Science. https://doi.org/10.1287/mnsc.1050.0363

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.