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CL-SNA: social network analysis with Lisp

Published: 01 April 2007 Publication History

Abstract

Social relations have been a research interest in many areas of social sciences. In sociology, for example, individuals up in the power hierarchy in a group can be determined quantitatively by looking at the number of direct relations to others in the group[1]. Similarly, in management and economics, alliance relationships between firms are examined carefully to explain phenomenon such as innovation and market leadership[6]. Similar problems were encountered in Anthropology, Zoology, and many other fields. In most studies regarding social relations, one must look into the content of social relations in addition to their structure, an endeavor which demands ethnographic methods. Nevertheless, analysis of the structure alone has been a powerful tool which not only enables quantitative assessment of social structures, but also prompts elaboration of interpretive process.

References

[1]
Ronald S. Burt. Structural Holes: The Social Structure of Competition. Harvard University Press, Cambridge, 1992.
[2]
International Network for Social Network Analysis. Computer programs for social network analysis. http://www.insna.org/INSNA/soft_inf.html (as of 2006-12-14).
[3]
International Network for Social Network Analysis. Website. http://www.insna.org (as of 2006-12-14).
[4]
The R Foundation for Statistical Computing. R-project. http://www.r-project.org (as of 2006-12-13).
[5]
Free Software Foundation. Gnu general public license. http://www.gnu.org/copyleft/gpl.html (as of 2006-12-13).
[6]
Ranjay Gulati and Martin Gargiulo. Where do interorganizational network come from? American Journal of Sociology, 104:1439--1493, 1999.
[7]
Jon. M. Kleinberg. Authoritative sources in a hyperlinked environment. Journal of the ACM, 46:604--632, 1999.
[8]
Jacob Levy Moreno. Who Shall Survive?: Foundations of Sociometry, Group Psychotherapy, and Sociodrama, Beacon House, 1953.
[9]
University of Ljubljana. Pajek - program for large network analysis. http://vlado.fmf.uni-Ij.si/pub/networks/pajek/default.htm (as of 2006-12-13).
[10]
John Scott. Social network analysis: a handbook. Sage Publications, London, 2000.
[11]
Analytic Technologies. Ucinet. http://www.analytictech.com/ucinet/ucinet.htm (as of 2006-12-13).
[12]
S. Wasserman and K. Faust. Social network analysis: Methods and applications. Cambridge University Press, Cambridge, 1994.

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  • (2009)Social Requirements for Virtual Organization Breeding EnvironmentsLeveraging Knowledge for Innovation in Collaborative Networks10.1007/978-3-642-04568-4_63(614-622)Online publication date: 2009

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cover image ACM Other conferences
ILC '07: Proceedings of the 2007 International Lisp Conference
April 2007
187 pages
ISBN:9781595936189
DOI:10.1145/1622123
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: 01 April 2007

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Author Tags

  1. common Lisp
  2. graph theory
  3. graph visualization
  4. social network analysis

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ILC07
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ILC07: 2007 International Lisp Conference
April 1 - 4, 2007
Cambridge, United Kingdom

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Overall Acceptance Rate 18 of 26 submissions, 69%

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  • (2009)Social Requirements for Virtual Organization Breeding EnvironmentsLeveraging Knowledge for Innovation in Collaborative Networks10.1007/978-3-642-04568-4_63(614-622)Online publication date: 2009

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