35 citations · 41 across the 5 of their papers we have counts for
5 papers
Using Maximum Entry-Wise Deviation to Test the Goodness-of-Fit for Stochastic Block Models
Jianwei Hu, Jingfei Zhang, Hong Qin +2
The stochastic block model is widely used for detecting community structures in network data. How to test the goodness-of-fit of the model is one of the fundamental problems and ha…
Affiliation networks with an increasing degree sequence
Yong Zhang, Xiaodi Qian, Hong Qin +1
Affiliation network is one kind of two-mode social network with two different sets of nodes (namely, a set of actors and a set of social events) and edges representing the affiliat…
Asymptotic generalized bivariate extreme with random index
M. A. Abd Elgawad, A. M. Elsawah, Hong Qin +1
In many biological, agricultural, military activity problems and in some quality control problems, it is almost impossible to have a fixed sample size, because some observations ar…
Corrected Bayesian information criterion for stochastic block models
Jianwei Hu, Hong Qin, Ting Yan +1
Estimating the number of communities is one of the fundamental problems in community detection. We re-examine the Bayesian paradigm for stochastic block models and propose a "corre…
Asymptotic normality in the maximum entropy models on graphs with an increasing number of parameters
Ting Yan, Yunpeng Zhao, Hong Qin
Maximum entropy models, motivated by applications in neuron science, are natural generalizations of the -model to weighted graphs. Similar to the -model, each vertex in maxim…