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» Community Detection of Time-Varying Mobile Social Networks
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CCS
2009
ACM
15 years 7 months ago
Finding "hidden" connections on linkedIn an argument for more pragmatic social network privacy
Social networking services well know that some users are unwilling to freely share the information they store with the service (e.g. profile information). To address this, servic...
Jessica Staddon
CIKM
2011
Springer
14 years 16 days ago
Structural link analysis and prediction in microblogs
With hundreds of millions of participants, social media services have become commonplace. Unlike a traditional social network service, a microblogging network like Twitter is a hy...
Dawei Yin, Liangjie Hong, Brian D. Davison
112
Voted
WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
15 years 10 months ago
You are who you know: Inferring user profiles in Online Social Networks
Online social networks are now a popular way for users to connect, express themselves, and share content. Users in today's online social networks often post a profile, consis...
Alan Mislove, Bimal Viswanath, P. Krishna Gummadi,...
114
Voted
WWW
2010
ACM
15 years 7 months ago
Find me if you can: improving geographical prediction with social and spatial proximity
Geography and social relationships are inextricably intertwined; the people we interact with on a daily basis almost always live near us. As people spend more time online, data re...
Lars Backstrom, Eric Sun, Cameron Marlow
116
Voted
CORR
2012
Springer
205views Education» more  CORR 2012»
13 years 8 months ago
Pricing Data: A Look at Past Proposals, Current Plans, and Future Trends
Traditionally, network operators have only used simple flat-rate unlimited data plans to vie for customers. But today, with the popularity of mobile devices and exponential growt...
Soumya Sen, Carlee Joe-Wong, Sangtae Ha, Mung Chia...