Article

Visualization of Communication Patterns in Collaborative Innovation Networks - Analysis of Some W3C Working Groups

Authors:

Peter A. Gloor,

Rob Laubacher,

Scott B. C. Dynes,

Yan ZhaoAuthors Info & Claims

CIKM '03: Proceedings of the twelfth international conference on Information and knowledge management

Pages 56 - 60

https://doi.org/10.1145/956863.956875

Published: 03 November 2003 Publication History

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Abstract

Collaborative Innovation Networks (COINs) are groups of self-motivated individuals from various parts of an organization or from multiple organizations, empowered by the Internet, who work together on a new idea, driven by a common vision. In this paper we report first results of a project that examines innovation networks by analyzing the e-mail archives of some W3C (WWW consortium) working groups. These groups exhibit ideal characteristics for our purpose, as they form truly global networks working together over the Internet to develop next generation technologies. We first describe the software tools we developed to visualize the temporal communication flow, which represent communication patterns as directed acyclic graphs, We then show initial results, which revealed significant variations between the communication patterns and network structures of the different groups., We were also able to identify distinctive communication patterns among group leaders, both those who were officially appointed and other who were assuming unofficial coordinating roles.

References

[1]

Batagelj, V. Mrvar, A. 1998. Pajek - Program for Large Network Analysis. Connections 21, 2, 4-7-57

Google Scholar

[2]

Borgatti, S., Everett, M. Freeman, L. C. 1992. UCINET IV, Version 1.0, Columbia: Analytic Technologies.

Google Scholar

[3]

Ebel, H. Mielsch, L. Bornholdt, 2002. S. Scale-free topology of e-mail networks. arXiv:cond-mat/0201476v2 12 Feb 2002.

Google Scholar

[4]

Freeman, L. C. Centrality in social networks: I. Conceptual clarification. Social Networks, 1979, 1, 215--239.

Crossref

Google Scholar

[5]

Freeman, L. C. Freeman, S. C. 1980. A semi-visible college: Structural effects of seven months of EIES participation by a social networks community. In Henderson, M. M. MacNaughton, M. J. (eds) Electronic Communication: Technology and Impacts, 77--85. AAAS Symposium 52. Washington DC: American Association for the Advancement of Science.

Google Scholar

[6]

Gloor, P. Laubacher, R. Dynes, S. Zhao, Y. Visualizing Interaction Patterns in Collaborative Knowledge Networks in Medical Applications. Proc HCII 2003, Crete, June 25-27, 2003.

Google Scholar

[7]

Girvan, M. Newman, M. E. J. 2001. Community structure in social and biological networks. arXiv:cond-mat/0112110v1, 7 Dec 2001.

Google Scholar

[8]

Gladwell, M. 2002. The Tipping Point: How Little Things Can Make a Big Difference. Back Bay Books

Google Scholar

[9]

Guimera, R., Danon, L., Diaz-Guilera, A. Giralt, F., Arenas, A. 2002. Self-similar community structure in organizations. ArXiv:cond-mat/0211498 v1, 22 Nov 2002.

Google Scholar

[10]

Wasserman, S., Faust, K. 1994. Social Network Analysis: Methods and Applications. Cambridge University Press.

Google Scholar

[11]

Fruchterman, T. M. J. Reingold, E. M. Graph drawing by force directed placement. Software: Practice and Experience, 21(11), 1991.

Digital Library

Google Scholar

[12]

Tyler, J. Wilkinson, D. Huberman, B "Email as Spectroscopy: Automated Discovery of Community Structure within Organizations" http://www.hpl.hp.com/shl/papers/email/index.html

Google Scholar

[13]

Wasserman, S., Faust, K. 1994. Social Network Analysis: Methods and Applications. Cambridge University Press.

Google Scholar

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Information

Published In

CIKM '03: Proceedings of the twelfth international conference on Information and knowledge management

November 2003

592 pages

ISBN:1581137230

DOI:10.1145/956863

General Chair:
Donald Kraft
Louisiana State University
,
Program Chairs:
Ophir Frieder
Illinois Institute of Technology
,
Joachim Hammer
University of Florida
,
Sajda Qureshi
University of Nebraska, Omaha
,
Len Seligman
The MITRE Corporation

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

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Publication History

Published: 03 November 2003

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November 3 - 8, 2003

LA, New Orleans, USA

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Liu LYang YGong XLiu SZhang FDuan HLiu Z(2022)Data-driven Regional Defense Technology Collaborative Innovation Visualization Research of The Development SituationAcademic Journal of Science and Technology10.54097/ajst.v3i1.18183:1(19-28)Online publication date: 9-Oct-2022
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