23 citations · 49 across the 36 of their papers we have counts for
4 papers · 1 filter
2RV+HRV and Testing for Strong VS Full Dependence
Tiandong Wang, Sidney I. Resnick
Preferential attachment models of network growth are bivariate heavy tailed models for in- and out-degree with limit measures which either concentrate on a ray of positive slope fr…
Multilayer Network Regression with Eigenvector Centrality and Community Structure
Zhuoye Han, Tiandong Wang, Zhiliang Ying
In the analysis of complex networks, centrality measures and community structures play pivotal roles. For multilayer networks, a critical challenge lies in effectively integrating…
Modeling Random Networks with Heterogeneous Reciprocity
Daniel Cirkovic, Tiandong Wang
Reciprocity, or the tendency of individuals to mirror behavior, is a key measure that describes information exchange in a social network. Users in social networks tend to engage in…
Generating General Preferential Attachment Networks with R Package wdnet
Yelie Yuan, Tiandong Wang, Jun Yan +1
Preferential attachment (PA) network models have a wide range of applications in various scientific disciplines. Efficient generation of large-scale PA networks helps uncover their…