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» Data and Structural k-Anonymity in Social Networks
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106
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ICDM
2010
IEEE
193views Data Mining» more  ICDM 2010»
14 years 7 months ago
Supervised Link Prediction Using Multiple Sources
Link prediction is a fundamental problem in social network analysis and modern-day commercial applications such as Facebook and Myspace. Most existing research approaches this pro...
Zhengdong Lu, Berkant Savas, Wei Tang, Inderjit S....
ASUNAM
2010
IEEE
14 years 9 months ago
Product Adoption Networks and Their Growth in a Large Mobile Phone Network
—To understand the diffusive spreading of a product in a telecom network, whether the product is a service, handset, or subscription, it can be very useful to study the structure...
Pal Roe Sundsoy, Johannes Bjelland, Geoffrey Canri...
84
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WWW
2009
ACM
15 years 10 months ago
Extracting community structure through relational hypergraphs
Social media websites promote diverse user interaction on media objects as well as user actions with respect to other users. The goal of this work is to discover community structu...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...
CIKM
2011
Springer
13 years 9 months ago
Content based social behavior prediction: a multi-task learning approach
The study of information flow analyzes the principles and mechanisms of social information distribution. It is becoming an extremely important research topic in social network re...
Hongliang Fei, Ruoyi Jiang, Yuhao Yang, Bo Luo, Ju...
IJNVO
2011
47views more  IJNVO 2011»
14 years 4 months ago
Harvesting covert networks: a case study of the iMiner database
: Data collection of covert networks is an inherently difficult task because of the very nature of these networks. Researchers find it difficult to locate and access data relating ...
Nasrullah Memon, Uffe Kock Wiil, Reda Alhajj, Clau...