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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
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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1
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Batagelj , V. Mrvar, A. 1998. Pajek - Program for Large Network Analysis. Connections 21, 2, 4-7-57
|
| |
2
|
Borgatti, S., Everett, M. Freeman, L. C. 1992. UCINET IV, Version 1.0, Columbia: Analytic Technologies.
|
| |
3
|
Ebel, H. Mielsch, L. Bornholdt, 2002. S. Scale-free topology of e-mail networks. arXiv:cond-mat/0201476v2 12 Feb 2002.
|
| |
4
|
Freeman, L. C. Centrality in social networks: I. Conceptual clarification. Social Networks, 1979, 1, 215--239.
|
| |
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.
|
| |
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.
|
| |
7
|
Girvan, M. Newman, M. E. J. 2001. Community structure in social and biological networks. arXiv:cond-mat/0112110v1, 7 Dec 2001.
|
| |
8
|
Gladwell, M. 2002. The Tipping Point: How Little Things Can Make a Big Difference. Back Bay Books
|
| |
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.
|
| |
10
|
Wasserman , S., Faust, K. 1994. Social Network Analysis: Methods and Applications. Cambridge University Press.
|
| |
11
|
|
| |
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
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13
|
Wasserman , S., Faust, K. 1994. Social Network Analysis: Methods and Applications. Cambridge University Press.
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CITED BY 5
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Xintian Yang , Sitaram Asur , Srinivasan Parthasarathy , Sameep Mehta, A visual-analytic toolkit for dynamic interaction graphs, Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, August 24-27, 2008, Las Vegas, Nevada, USA
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INDEX TERMS
Primary Classification:
H.
Information Systems
H.3
INFORMATION STORAGE AND RETRIEVAL
H.3.3
Information Search and Retrieval
Subjects:
Clustering
Additional Classification:
H.
Information Systems
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.2
User Interfaces (D.2.2, H.1.2, I.3.6)
Subjects:
Graphical user interfaces (GUI)
H.5.3
Group and Organization Interfaces
Subjects:
Organizational design;
Computer-supported cooperative work;
Asynchronous interaction
General Terms:
Algorithms,
Design,
Economics,
Human Factors,
Management,
Measurement,
Performance
Keywords:
collaborative applications,
collaborative innovation network,
knowledge management,
social network analysis,
temporal information visualization
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