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Visualizing communities and centralities from encounter traces
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International Conference on Mobile Computing and Networking archive
Proceedings of the third ACM workshop on Challenged networks table of contents
San Francisco, California, USA
POSTER SESSION: Demo and poster session table of contents
Pages 129-132  
Year of Publication: 2008
ISBN:978-1-60558-186-6
Author
Eiko Yoneki  University of Cambridge, Cambridge, United Kngdm
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

We have previously demonstrated that information about social relationships can yield improved performance when it is used to control epidemic forwarding. We believe that extensive work to model human connectivity -- incorporating notions of community and interaction 'weight' -- is required if we are to understand this phenomenon and build networks that capitalize on it. This paper describes a visualization of detected community structures uncovered by different methods from human encounter traces. We focus on extracting information related to levels of clustering, network transitivity, and strong community structure. The position change of hub nodes within the network is also visualized.


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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