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» Predicting product adoption in large-scale social networks
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WAW
2010
Springer
235views Algorithms» more  WAW 2010»
13 years 5 months ago
Multiplicative Attribute Graph Model of Real-World Networks
Large scale real-world network data such as social and information networks are ubiquitous. The study of such social and information networks seeks to find patterns and explain th...
Myunghwan Kim, Jure Leskovec
HICSS
2008
IEEE
129views Biometrics» more  HICSS 2008»
14 years 2 months ago
Understanding Development and Usage of Social Networking Sites: The Social Software Performance Model
Social networking sites such as MySpace and Facebook thrive on energetic social interaction, but the factors that assure this are not well understood. There is a lack of theory th...
Catherine Dwyer, Starr Roxanne Hiltz, George Widme...
WWW
2011
ACM
13 years 2 months ago
Predicting popular messages in Twitter
Social network services have become a viable source of information for users. In Twitter, information deemed important by the community propagates through retweets. Studying the c...
Liangjie Hong, Ovidiu Dan, Brian D. Davison
SIGSOFT
2008
ACM
14 years 8 months ago
Predicting failures with developer networks and social network analysis
Software fails and fixing it is expensive. Research in failure prediction has been highly successful at modeling software failures. Few models, however, consider the key cause of ...
Andrew Meneely, Laurie Williams, Will Snipes, Jaso...
WSDM
2012
ACM
283views Data Mining» more  WSDM 2012»
12 years 3 months ago
The life and death of online groups: predicting group growth and longevity
We pose a fundamental question in understanding how to identify and design successful communities: What factors predict whether a community will grow and survive in the long term?...
Sanjay Ram Kairam, Dan J. Wang, Jure Leskovec