Predicting complex user behavior from CDR based social networks
نویسندگان
چکیده
منابع مشابه
Predicting Complex Behavior in Sparse Asymmetric Networks
Recurrent networks of threshold elements have been studied intensively as associative memories and pattern-recognition devices. While most research has concentrated on fully-connected symmetric networks. which relax to stable fixed points. asymmetric networks show richer dynamical behavior. and can be used as sequence generators or flexible pattern-recognition devices. In this paper. we approac...
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ژورنال
عنوان ژورنال: Information Sciences
سال: 2019
ISSN: 0020-0255
DOI: 10.1016/j.ins.2019.05.082