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» Small world models for social network algorithms testing
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WAW
2010
Springer
270views Algorithms» more  WAW 2010»
13 years 5 months ago
Fast Katz and Commuters: Efficient Estimation of Social Relatedness in Large Networks
Abstract. Motivated by social network data mining problems such as link prediction and collaborative filtering, significant research effort has been devoted to computing topologica...
Pooya Esfandiar, Francesco Bonchi, David F. Gleich...
IPPS
2006
IEEE
14 years 1 months ago
Improving cooperation in peer-to-peer systems using social networks
Rational and selfish nodes in P2P systems usually lack effective incentives to cooperate, contributing to the increase of free-riders, and degrading the system performance. Variou...
Wenyu Wang, Li Zhao, Ruixi Yuan
WWW
2011
ACM
13 years 2 months ago
Network bucket testing
Bucket testing, also known as A/B testing, is a practice that is widely used by on-line sites with large audiences: in a simple version of the methodology, one evaluates a new fea...
Lars Backstrom, Jon M. Kleinberg
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
13 years 9 months ago
Scalable influence maximization for prevalent viral marketing in large-scale social networks
Influence maximization, defined by Kempe, Kleinberg, and Tardos (2003), is the problem of finding a small set of seed nodes in a social network that maximizes the spread of influe...
Wei Chen, Chi Wang, Yajun Wang
ICDM
2010
IEEE
208views Data Mining» more  ICDM 2010»
13 years 5 months ago
Bonsai: Growing Interesting Small Trees
Graphs are increasingly used to model a variety of loosely structured data such as biological or social networks and entityrelationships. Given this profusion of large-scale graph ...
Stephan Seufert, Srikanta J. Bedathur, Juliá...