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» Finding Strongly Knit Clusters in Social Networks
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WWW
2009
ACM
14 years 8 months ago
Community gravity: measuring bidirectional effects by trust and rating on online social networks
Several attempts have been made to analyze customer behavior on online E-commerce sites. Some studies particularly emphasize the social networks of customers. Users' reviews ...
Yutaka Matsuo, Hikaru Yamamoto
JIS
2011
112views more  JIS 2011»
12 years 10 months 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
SODA
2008
ACM
184views Algorithms» more  SODA 2008»
13 years 9 months ago
On the approximability of influence in social networks
In this paper, we study the spread of influence through a social network, in a model initially studied by Kempe, Kleinberg and Tardos [14, 15]: We are given a graph modeling a soc...
Ning Chen
CHI
2009
ACM
14 years 8 months ago
Predicting tie strength with social media
Social media treats all users the same: trusted friend or total stranger, with little or nothing in between. In reality, relationships fall everywhere along this spectrum, a topic...
Eric Gilbert, Karrie Karahalios
CHI
2008
ACM
14 years 8 months ago
The network in the garden: an empirical analysis of social media in rural life
History repeatedly demonstrates that rural communities have unique technological needs. Yet, we know little about how rural communities use modern technologies, so we lack knowled...
Eric Gilbert, Karrie Karahalios, Christian Sandvig