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» Learning and Predicting the Evolution of Social Networks
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IJCIA
2002
137views more  IJCIA 2002»
13 years 7 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»
13 years 7 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
WSDM
2012
ACM
283views Data Mining» more  WSDM 2012»
12 years 2 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
14 years 2 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
12 years 11 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