SIGN IN
SIGN UP
Mobile call graphs: beyond power-law and lognormal distributions
Full Text:
PDF
Buy this Article
see
source materials
below for
more options
Authors:
Mukund Seshadri
Sprint, Burlingame, CA, USA
Sridhar Machiraju
Sprint, Burlingame, CA, USA
Ashwin Sridharan
Sprint, Burlingame, CA, USA
Jean Bolot
Sprint, Burlingame, CA, USA
Christos Faloutsos
Carnegie Mellon University, Pittsburgh, PA, USA
Jure Leskove
Carnegie Mellon University, Pittsburgh, PA, USA
2008 Article
Bibliometrics
· Downloads (6 Weeks): 16
· Downloads (12 Months): 131
· Downloads (cumulative): 760
· Citation Count: 15
Published in:
· Proceeding
KDD '08
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Pages 596-604
ACM
New York, NY
, USA
©2008
table of contents
ISBN: 978-1-60558-193-4
doi>
10.1145/1401890.1401963
Tools and Resources
Buy this Article
Request Permissions
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Upcoming Conference:
KDD 13
Share:
|
Tags:
algorithms
data mining
distribution
dpln
experimentation
generative process
power laws
Feedback
|
Switch to
single page view
(no tabs)
**Javascript is not enabled and is required for the "tabbed view" or switch to the
single page view
**
Powered by
The ACM Guide to Computing Literature
All Tags
Export Formats
Save to Binder