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» Predicting Interests of People on Online Social Networks
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76
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SIGCOMM
2009
ACM
15 years 4 months ago
MobiClique: middleware for mobile social networking
We consider a mobile ad hoc network setting where Bluetooth enabled mobile devices communicate directly with other devices as they meet opportunistically. We design and implement ...
Anna Kaisa Pietiläinen, Earl Oliver, Jason Le...
JIS
2011
112views more  JIS 2011»
14 years 17 days ago
Classifying ecommerce information sharing behaviour by youths on social networking sites
Teenagers and young adults form an economically critical demographic group and are confronted with an array of internet social networking services just as they are forming online ...
Bernard J. Jansen, Kate Sobel, Geoff Cook
84
Voted
CORR
2010
Springer
116views Education» more  CORR 2010»
14 years 4 months ago
Mixed-Membership Stochastic Block-Models for Transactional Networks
Abstract: Transactional network data can be thought of as a list of oneto-many communications (e.g., email) between nodes in a social network. Most social network models convert th...
Mahdi Shafiei, Hugh Chipman
99
Voted
CSCW
2008
ACM
14 years 11 months ago
Social networks and context-aware spam
Social networks are popular for online communities. This paper evaluates the risk of sophisticated context-aware spam that could result from information sharing on social networks...
Garrett Brown, Travis Howe, Micheal Ihbe, Atul Pra...
PODC
2010
ACM
14 years 11 months ago
Brief announcement: revisiting the power-law degree distribution for social graph analysis
The study of complex networks led to the belief that the connectivity of network nodes generally follows a Power-law distribution. In this work, we show that modeling large-scale ...
Alessandra Sala, Haitao Zheng, Ben Y. Zhao, Sabrin...