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SOCIALCOM
2010
8 years 11 months ago
q-Anon: Rethinking Anonymity for Social Networks
This paper proposes that social network data should be assumed public but treated private. Assuming this rather confusing requirement means that anonymity models such as kanonymity...
Aaron Beach, Mike Gartrell, Richard Han
ICWSM
2010
9 years 3 months ago
Sequential Influence Models in Social Networks
The spread of influence among individuals in a social network can be naturally modeled in a probabilistic framework, but it is challenging to reason about differences between vari...
Dan Cosley, Daniel P. Huttenlocher, Jon M. Kleinbe...
AAAI
2010
9 years 3 months ago
Discovering Long Range Properties of Social Networks with Multi-Valued Time-Inhomogeneous Models
The current methods used to mine and analyze temporal social network data make two assumptions: all edges have the same strength, and all parameters are time-homogeneous. We show ...
Danny Wyatt, Tanzeem Choudhury, Jeff Bilmes
INCDM
2010
Springer
193views Data Mining» more  INCDM 2010»
9 years 5 months ago
Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database
This paper reports on a mechanism to identify temporal spatial trends in social networks. The trends of interest are deļ¬ned in terms of the occurrence frequency of time stamped p...
Puteri N. E. Nohuddin, Rob Christley, Frans Coenen...
KDD
2008
ACM
202views Data Mining» more  KDD 2008»
10 years 2 months ago
Data and Structural k-Anonymity in Social Networks
The advent of social network sites in the last years seems to be a trend that will likely continue. What naive technology users may not realize is that the information they provide...
Alina Campan, Traian Marius Truta
CCS
2009
ACM
10 years 2 months ago
The union-split algorithm and cluster-based anonymization of social networks
Knowledge discovery on social network data can uncover latent social trends and produce valuable findings that benefit the welfare of the general public. A growing amount of resea...
Brian Thompson, Danfeng Yao
ICDE
2008
IEEE
161views Database» more  ICDE 2008»
10 years 3 months ago
Preserving Privacy in Social Networks Against Neighborhood Attacks
Recently, as more and more social network data has been published in one way or another, preserving privacy in publishing social network data becomes an important concern. With som...
Bin Zhou 0002, Jian Pei
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