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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
(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 ...
Total Flooding Time And Rumor Propagation On Graphs
(SpringerNew York, 2017)
Baseball: graph of slugging percentage
(Wolfram Demonstration Project, 2011)
Test of Understanding Graphs in Calculus: Test of Students’ Interpretation of Calculus Graphs
(Eurasian Society of Educational Research, 2017-10)
Studies show that students, within the context of mathematics and science, have difficulties understanding the concepts of the derivative as the slope and the concept of the antiderivative as the area under the curve. In ...
Tied kronecker product graph models to capture variance in network populations.
Much of the past work on mining and modeling networks has focused on understanding the observed properties of single example graphs. However, in many real-life applications it is important to characterize the structure of ...