A Discrepancy Detector James Abello, CCICADA-DIMACS FACULTY () Student: Nishchal Devanur CS Dept...
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Transcript of A Discrepancy Detector James Abello, CCICADA-DIMACS FACULTY () Student: Nishchal Devanur CS Dept...
A Discrepancy Detector
James Abello, CCICADA-DIMACS FACULTY(www.mgvis.com)
Student: Nishchal Devanur CS Dept Rutgers
Goal To detect the most influential nodes in a variety of traffic scenarios
using Discrepancy Theory.
Twitter Data: Nodes are twitter users. Edges exist between them if one user “retweeted” another user for the hashtag “#IranElection”
Manifest Data: Pattern Content Analysis
Manifest Data: Nodes represent days. Edges exist between days based on the shipment content similarity.
IPdataset: Nodes are Ip addresses and edges represent communication between the Ip addresses.
References
1.Graph View, James Abello, F. van Ham and N. Krishnan - "Ask Graph View", IEEE Transactions on Visualization and Computer Graphics, Vol 12. No 5, 2006
2.Gephi – http://gephi.org3.J. Abello, T. Eliassi-Rad, N. Devanur, “Detecting
Novel Discrepancies in Communication Networks”, 10th IEEE International Conference on Data Mining, ICDM10, Dec 2010, Australia