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» Randomizing Social Networks: a Spectrum Preserving Approach
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CORR
2010
Springer
177views Education» more  CORR 2010»
13 years 6 months ago
Supervised Random Walks: Predicting and Recommending Links in Social Networks
Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...
Lars Backstrom, Jure Leskovec
PAKDD
2009
ACM
133views Data Mining» more  PAKDD 2009»
14 years 1 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
ASUNAM
2010
IEEE
13 years 7 months ago
A Unified Framework for Link Recommendation Using Random Walks
The phenomenal success of social networking sites, such as Facebook, Twitter and LinkedIn, has revolutionized the way people communicate. This paradigm has attracted the attention ...
Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han
IWCMC
2010
ACM
13 years 11 months ago
CRABSS: CalRAdio-Based advanced Spectrum Scanner for cognitive networks
The first step required by the process of cognition is the intelligent observation of the environment that surrounds the actors of such a process. We present the CalRAdio-Based a...
Riccardo Manfrin, Luca Boscato, Andrea Zanella, Mi...
KDD
2007
ACM
143views Data Mining» more  KDD 2007»
14 years 6 months ago
Mining Research Communities in Bibliographical Data
Abstract. Extracting information from very large collections of structured, semistructured or even unstructured data can be a considerable challenge when much of the hidden informa...
Osmar R. Zaïane, Jiyang Chen, Randy Goebel