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» Sampling Representative Users from Large Social Networks
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SP
2010
IEEE
165views Security Privacy» more  SP 2010»
13 years 11 months ago
A Practical Attack to De-anonymize Social Network Users
—Social networking sites such as Facebook, LinkedIn, and Xing have been reporting exponential growth rates. These sites have millions of registered users, and they are interestin...
Gilbert Wondracek, Thorsten Holz, Engin Kirda, Chr...
ADBIS
2011
Springer
275views Database» more  ADBIS 2011»
12 years 7 months ago
An Analysis of the Structure and Dynamics of Large-Scale Q/A Communities
Abstract. In recent years, the World Wide Web (WWW) has transformed to a gigantic social network where people interact and collaborate in diverse online communities. By using Web 2...
Daniel Schall, Florian Skopik
WWW
2010
ACM
14 years 2 months ago
Sampling community structure
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
Arun S. Maiya, Tanya Y. Berger-Wolf
SOCIALCOM
2010
13 years 5 months ago
Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network
Retweeting is the key mechanism for information diffusion in Twitter. It emerged as a simple yet powerful way of disseminating information in the Twitter social network. Even thoug...
Bongwon Suh, Lichan Hong, Peter Pirolli, Ed H. Chi
UIC
2009
Springer
14 years 2 months ago
Mining and Visualizing Mobile Social Network Based on Bayesian Probabilistic Model
Social networking has provided powerful new ways to find people, organize groups, and share information. Recently, the potential functionalities of the ubiquitous infrastructure le...
Jun-Ki Min, Su-Hyung Jang, Sung-Bae Cho