4 papers
Asymptotic Theory for Differentially Private Generalized -models with Parameters Increasing
Yifan Fan, Huiming Zhang, Ting Yan
Modelling edge weights play a crucial role in the analysis of network data, which reveals the extent of relationships among individuals. Due to the diversity of weight information,…
A Unified Framework for Inference in Network Models with Degree Heterogeneity and Homophily
Ting Yan
The degree heterogeneity and homophily are two typical features in network data. In this paper, we formulate a general model for undirected networks with these two features and pre…
A Probit Network Model with Arbitrary Dependence
Ting Yan
In this paper, we adopt a latent variable method to formulate a network model with arbitrarily dependent structure. We assume that the latent variables follow a multivariate normal…
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…