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Visualization of Communication Patterns in Collaborative Innovation Networks - Analysis of Some W3C Working Groups
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Source Conference on Information and Knowledge Management archive
Proceedings of the twelfth international conference on Information and knowledge management table of contents
New Orleans, LA, USA
SESSION: Knowledge management session 1: visual table of contents
Pages: 56 - 60  
Year of Publication: 2003
ISBN:1-58113-723-0
Authors
Peter A. Gloor  MIT Center for Coordination Science
Rob Laubacher  MIT Center for Coordination Science
Scott B. C. Dynes  Dartmouth Tuck Center for Digital Strategies
Yan Zhao  Dartmouth College
Sponsors
ACM: Association for Computing Machinery
SIGMIS: ACM Special Interest Group on Management Information Systems
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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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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Collaborative Colleagues:
Peter A. Gloor: colleagues
Rob Laubacher: colleagues
Scott B. C. Dynes: colleagues
Yan Zhao: colleagues