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» Learning and Predicting the Evolution of Social Networks
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IJCIA
2002
137views more  IJCIA 2002»
14 years 9 months ago
Co-Evolution in Social Interactions
An interesting problem which has been widely investigated is under what circumstances will a society of rational agents realize some particular stable situations, and whether they ...
Hiroshi Sato, Akira Namatame
CORR
2010
Springer
177views Education» more  CORR 2010»
14 years 9 months ago
Supervised Random Walks: Predicting and Recommending Links in Social Networks
Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...
Lars Backstrom, Jure Leskovec
99
Voted
WSDM
2012
ACM
283views Data Mining» more  WSDM 2012»
13 years 5 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
CIKM
2009
Springer
15 years 4 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu
ICANN
2011
Springer
14 years 1 months ago
Robot Trajectory Prediction and Recognition Based on a Computational Mirror Neurons Model
Mirror neurons are premotor neurons that are considered to play a role in goal-directed actions, action understanding and even social cognition. As one of the promising research ar...
Junpei Zhong, Cornelius Weber, Stefan Wermter