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KDD
2008
ACM
147views Data Mining» more  KDD 2008»
15 years 10 months ago
Mobile call graphs: beyond power-law and lognormal distributions
We analyze a massive social network, gathered from the records of a large mobile phone operator, with more than a million users and tens of millions of calls. We examine the distr...
Mukund Seshadri, Sridhar Machiraju, Ashwin Sridhar...
PAKDD
2009
ACM
133views Data Mining» more  PAKDD 2009»
15 years 4 months ago
On Link Privacy in Randomizing Social Networks
Many applications of social networks require relationship anonymity due to the sensitive, stigmatizing, or confidential nature of relationship. Recent work showed that the simple ...
Xiaowei Ying, Xintao Wu
DATESO
2010
148views Database» more  DATESO 2010»
14 years 7 months ago
Using Spectral Clustering for Finding Students' Patterns of Behavior in Social Networks
Abstract. The high dimensionality of the data generated by social networks has been a big challenge for researchers. In order to solve the problems associated with this phenomenon,...
Gamila Obadi, Pavla Drázdilová, Jan ...
SDM
2010
SIAM
153views Data Mining» more  SDM 2010»
14 years 11 months ago
Reconstruction from Randomized Graph via Low Rank Approximation
The privacy concerns associated with data analysis over social networks have spurred recent research on privacypreserving social network analysis, particularly on privacypreservin...
Leting Wu, Xiaowei Ying, Xintao Wu
HICSS
2010
IEEE
199views Biometrics» more  HICSS 2010»
15 years 4 months ago
Decelerated IT Innovation: Negotiating Global IT Innovation Initiatives in Local Settings
We examine IT innovation processes and associated effects on industrial automation for a global supplier of high-technology automation equipment (ABB) and their customer (LKAB), a...
Johan Sandberg, Jonny Holmstrom, Kalle Lyytinen