Nascent policy subsystems in polycentric governance networks: The case of sea‐level rise governance in the San Francisco Bay Area

T Pozzi, E Zufall, K Gmoser‐Daskalakis… - Policy Studies …, 2024 - Wiley Online Library
A policy subsystem is a system of relations between actors within the context of a specific,
territorially bounded policy issue. Mature policy subsystems feature well‐established, easily …

From learning to influence: The evolution of collaboration in European administrative networks

FP Vantaggiato - Journal of European Public Policy, 2022 - Taylor & Francis
ABSTRACT Most European Administrative Networks (EANs) have been operational for over
two decades. Yet, our understanding of their evolution is limited. How do EANs evolve? I …

[HTML][HTML] A deep learning classification framework for research methods of marine protected area management

M Chen, Z Xu - Journal of Environmental Management, 2024 - Elsevier
The latest emerging transdisciplinary marine protected area (MPA) research scheme
requires efficient approaches for theoretically based and data-driven method integration …

A Bayesian multilevel model for populations of networks using exponential-family random graphs

B Lehmann, S White - Statistics and Computing, 2024 - Springer
The collection of data on populations of networks is becoming increasingly common, where
each data point can be seen as a realisation of a network-valued random variable …

Structural factors affecting global trends towards isolationism and expansionism–A BERGM analysis

Y Jang, JS Yang - Global Networks, 2024 - Wiley Online Library
The first purpose of this study is to define the network parameters that enable systemic
analysis of international relations, identifying trends towards isolationism and expansionism …

Rejoinder to Discussion of “A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks”

PN Krivitsky, P Coletti, N Hens - Journal of the American Statistical …, 2023 - Taylor & Francis
We thank Prof. Michael Stein for selecting our article for discussion and the four discussants
for their praise and criticism alike. The discussants make a number of important points about …

Hierarchical Bayesian adaptive lasso methods on exponential random graph models

D Han, V Modisette, M Forthofer, R Paul - Applied Network Science, 2024 - Springer
The analysis of network data has become an increasingly prominent and demanding field
across multiple research fields including data science, health, and social sciences, requiring …

Structure recovery and trend estimation for dynamic network analysis

X Jiang, S Margarita Livas, F Yin, S Banerjee, CT Butts… - Stat, 2023 - Wiley Online Library
Low‐dimensional parametric models for network dynamics have been successful as
inferentially efficient and interpretable tools for modelling network evolution but have …

Penalized Bayesian exponential random graph models.

V Modisette - 2023 - ir.library.louisville.edu
Networks have the critical ability to represent the complex interconnectedness of social
relationships, biological processes, and the spread of diseases and information. Exponential …