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Nonparametric statistics of dynamic networks with distinguishable nodes
(Springer, 2017-09)
The study of random graphs and networks had an explosive development in the last couple of decades. Meanwhile, techniques for the statistical analysis of sequences of networks were less developed. In this paper, we focus ...
Quantile graphs for the characterization of chaotic dynamics in time series
(Ieee, 2015-01-01)
Recently, a map from time series to networks with an approximate inverse operation has been proposed [1], allowing the use network statistics to characterize time series and time series statistics to characterize networks. ...
Quantile graphs for the characterization of chaotic dynamics in time series
(2016-06-01)
Recently, a map from time series to networks with an approximate inverse operation has been proposed [1], allowing the use network statistics to characterize time series and time series statistics to characterize networks. ...
Fuzzy community structure detection by particle competition and cooperation
(2013-04-01)
Identification and classification of overlapping nodes in networks are important topics in data mining. In this paper, a network-based (graph-based) semi-supervised learning method is proposed. It is based on competition ...
Fuzzy community structure detection by particle competition and cooperation
(2013-04-01)
Identification and classification of overlapping nodes in networks are important topics in data mining. In this paper, a network-based (graph-based) semi-supervised learning method is proposed. It is based on competition ...