Abstract This article examines the European Union (EU) involvement and co‐ordination of a humanitarian emergency response overseas. In particular, this will examine reaction to Cyclones Idai Kenneth. By combining an exponential random graph model (ERGM) with semi‐structured interviews, also apply resource dependence theory in order identify actor characteristics that conditioned exchanges withi...

This study investigates the self-assembly mechanisms of ad hoc project teams using a bipartite network perspective. Individuals and projects are modeled as two types of nodes and team membership as relations between them. This approach enables us to investigate factors that impact voluntary team assembly at the individual, dyadic, and team levels simultaneously. Using Exponential Random Graph M...

This paper presents a new simulation method to make global network inference from sampled data. The proposed simulation method takes sampled ego network data and uses Exponential Random Graph Models (ERGM) to reconstruct the features of the true, unknown network. After describing the method, the paper presents two validity checks of the approach: the first uses the 20 largest Add Health network...

Global trade of renewable energy products has increased significantly in recent years. This paper constructs an analytical framework a global network for based on bilateral data between 2009 and 2019. It analyses its structural evolution at the local levels investigates influencing factors with Exponential Random Graph Model. The empirical results indicate that countries have become more closel...

Abstract We review the empirical comparison of Stochastic Actor-oriented Models (SAOMs) and Temporal Exponential Random Graph (TERGMs) by Leifeld & Cranmer in this journal [Network Science 7(1):20–51, 2019]. When specifying their TERGM, they use exogenous nodal attributes calculated from outcome networks’ observed degrees instead endogenous ERGM equivalents structural effects as used SAOM. ...

Electricity is one of the most widely used forms energy. However, environmental pollution from electricity generation and mismatch between supply demand have long been bothering economies across world. Under this background, cross-border trade provides a new direction for sustainable development. Based on complex network approach, paper aims to explore structural characteristics evolution netwo...

Recent advances in computational methods for intractable models have made network data increasingly amenable to statistical analysis. Exponential random graph (ERGMs) emerged as one of the main families capable capturing complex dependence structure a wide range applied contexts. The Bergm package R has become popular carry out Bayesian parameter inference, missing imputation, model selection a...

The reputation of the maximum pseudolikelihood estimator (MPLE) for Exponential Random Graph Models (ERGM) has undergone a drastic change over past 30 years. While first receiving broad support, mainly due to its computational feasibility and lack alternatives, general opinions started with introduction approximate likelihood (MLE) methods that became practicable increasing computing power MCMC...

Kanagawa and Hokkaido were affected by COVID-19 in the early stage of pandemic. Japan’s initial response included contact tracing PCR analysis on anyone who was suspected having been exposed to SARS-CoV-2. In this retrospective study, we analyzed publicly available registry data from (n = 4392). Exponential random graph model (ERGM) network performed examine demographic symptomological homophil...