The development of stochastic models for the analysis of social networks is an important
growth area in contemporary statistics. The last few decades have witnessed the rapid …

The uncertainty underlying real-world phenomena has attracted attention toward statistical
analysis approaches. In this regard, many problems can be modeled as networks. Thus, the …

Patent Citation Analysis has been gaining considerable traction over the past few decades.
In this paper, we collect extensive information on patents and citations and provide a …

A new modelling approach for the analysis of weighted networks with ordinal/polytomous
dyadic values is introduced. Specifically, it is proposed to model the weighted network …

Inter-organizational relationships are high on the health policy agenda. Scholars and
practitioners have provided heterogeneous views about the triggers of collaborative …

Collaboration has become crucial in solving scientific problems in biomedical and health
sciences. There is a growing interest in applying social network analysis to professional …

Finite Mixtures of ERGMs for Modeling Ensembles of Networks Page 1 Bayesian Analysis (2022)
17, Number 4, pp. 1153–1191 Finite Mixtures of ERGMs for Modeling Ensembles of Networks …

The exchange of information among organizations is the lifeblood of governance networks. It
is a necessary condition for successful governance. Political divides between organizations …

Research on medical practice that uses big data has attracted considerable attention
recently. In this paper, we focused on a large set of patient referral data gathered in Fujian …

This study introduces a novel methodology for endogenous variable selection in
Exponential Random Graph Models (ERGMs) to enhance the analysis of social networks …