7 citations · 18 across the 7 of their papers we have counts for
12 papers
An Efficient Algorithm for Generating Directed Networks with Predetermined Assortativity Measures
Tiandong Wang, Jun Yan, Yelie Yuan +1
Assortativity coefficients are important metrics to analyze both directed and undirected networks. In general, it is not guaranteed that the fitted model will always agree with the…
PageRank centrality and algorithms for weighted, directed networks with applications to World Input-Output Tables
Panpan Zhang, Tiandong Wang, Jun Yan
PageRank (PR) is a fundamental tool for assessing the relative importance of the nodes in a network. In this paper, we propose a measure, weighted PageRank (WPR), extended from the…
Several topological indices of random caterpillars
Panpan Zhang, Xiaojing Wang
In chemical graph theory, caterpillar trees have been an appealing model to represent the molecular structures of benzenoid hydrocarbon. Meanwhile, topological index has been thoug…
Regional and Sectoral Structures and Their Dynamics of Chinese Economy: A Network Perspective from Multi-Regional Input-Output Tables
Tao Wang, Shiying Xiao, Jun Yan +1
A multi-regional input-output table (MRIOT) containing the transactions among the region-sectors in an economy defines a weighted and directed network. Using network analysis tools…
Assortativity measures for weighted and directed networks
Yelie Yuan, Jun Yan, Panpan Zhang
Assortativity measures the tendency of a vertex in a network being connected by other vertexes with respect to some vertex-specific features. Classical assortativity coefficients a…
Clustering US States by Time Series of COVID-19 New Case Counts with Non-negative Matrix Factorization
Jianmin Chen, Jun Yan, Panpan Zhang
The spreading pattern of COVID-19 differ a lot across the US states under different quarantine measures and reopening policies. We proposed to cluster the US states into distinct c…