Research graph
References from Unpacking Policy–Instrument Mixes: An Exponential Random Graph Model Analysis of China’s Urban Public Safety Policy. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
External reference
Procedural policy tools in theory and practice
10.1080/14494035.2021.1965379 · 2021 · External reference
The choice of innovation policy instruments
10.1016/j.techfore.2013.03.002 · 2013 · External reference
The knowns and unknowns of policy instrument analysis: Policy tools and the current research agenda on policy mixes
10.1177/2158244019900568 · 2020 · External reference
Instruments for policy integration: How policy mixes work together
10.1177/21582440211032161 · 2021 · External reference
Do policy instruments matter? Governments’ choice of policy mix and higher education performance in Western Europe
10.1017/s0143814x19000047 · 2020 · External reference
Interdependent policy instrument preferences: A two-mode network approach
10.1017/s0143814x18000181 · 2019 · External reference
10.1371/journal.pone.0291633
10.1371/journal.pone.0291633 · External reference
10.4324/9781003163954
10.4324/9781003163954 · External reference
Unpacking policy coherence: A network analysis of the EU policy mix for the circular economy
2025 · External reference
Understanding networks with exponential-family random network models
10.1016/j.socnet.2023.07.003 · 2024 · External reference
ergm 4: New features for analyzing exponential-family random graph models
10.18637/jss.v105.i06 · 2023 · External reference
Temporal exponential random graph models with btergm: Estimation and bootstrap confidence intervals
10.18637/jss.v083.i06 · 2018 · External reference
Behavioral assumptions of policy tools
10.2307/2131904 · 1990 · External reference
Unresolved reference
External reference
Policy mixes for sustainable development pathways: Representation in integrated assessment models
10.1088/1748-9326/ad993a · 2025 · External reference
A theoretical examination of homophily beyond focus theory: Causes, consequences, and new directions
10.1177/21582440231173915 · 2023 · External reference
What does homophily do? A review of the consequences of homophily
10.5465/annals.2020.0230 · 2022 · External reference
New specifications for exponential random graph models
10.1111/j.1467-9531.2006.00176.x · 2006 · External reference
Exponential random graph models and pendant-triangle statistics
10.1016/j.socnet.2024.07.002 · 2024 · External reference
Mining term networks from text collections for crime investigation
10.1016/j.eswa.2012.02.052 · 2012 · External reference
Text mining for drugs and chemical compounds: Methods, tools and applications
10.1002/minf.201100005 · 2011 · External reference
Unresolved reference
External reference
Specification of exponential-family random graph models: Terms and computational aspects
10.18637/jss.v024.i04 · 2008 · External reference
ergm: A package to fit, simulate and diagnose exponential-family models for networks
10.18637/jss.v024.i03 · 2008 · External reference
Computing pseudolikelihood estimators for exponential-family random graph models
10.6339/23-jds1094 · 2023 · External reference
A note on composite likelihood inference and model selection
10.1093/biomet/92.3.519 · 2005 · External reference
Composite likelihood Bayesian information criteria for model selection in high-dimensional data
10.1198/jasa.2010.tm09414 · 2010 · External reference
The long-term development of crisis management in China—Continuity, institutional punctuations and reforms
10.1111/ropr.12455 · 2022 · External reference
Disaster policy and emergency management reforms in China: From Wenchuan earthquake to Jiuzhaigou earthquake
10.1016/j.ijdrr.2020.101964 · 2021 · External reference
Theorizing on urban safety and risk control system: With insights from Shanghai Expo
2012 · External reference
Using an evidence-based safety approach to develop China’s urban safety strategies for the improvement of urban safety: From an accident prevention perspective
10.1016/j.psep.2022.05.037 · 2022 · External reference
Text mining for drugs and chemical compounds: Methods, tools and applications
10.1002/minf.201100005 · ExternalCitation · doi-reference
Mining term networks from text collections for crime investigation
10.1016/j.eswa.2012.02.052 · ExternalCitation · doi-reference
Disaster policy and emergency management reforms in China: From Wenchuan earthquake to Jiuzhaigou earthquake
10.1016/j.ijdrr.2020.101964 · ExternalCitation · doi-reference
Using an evidence-based safety approach to develop China’s urban safety strategies for the improvement of urban safety: From an accident prevention perspective
10.1016/j.psep.2022.05.037 · ExternalCitation · doi-reference
Understanding networks with exponential-family random network models
10.1016/j.socnet.2023.07.003 · ExternalCitation · doi-reference
Exponential random graph models and pendant-triangle statistics
10.1016/j.socnet.2024.07.002 · ExternalCitation · doi-reference
The choice of innovation policy instruments
10.1016/j.techfore.2013.03.002 · ExternalCitation · doi-reference
Interdependent policy instrument preferences: A two-mode network approach
10.1017/s0143814x18000181 · ExternalCitation · doi-reference
Do policy instruments matter? Governments’ choice of policy mix and higher education performance in Western Europe
10.1017/s0143814x19000047 · ExternalCitation · doi-reference
Procedural policy tools in theory and practice
10.1080/14494035.2021.1965379 · ExternalCitation · doi-reference
Policy mixes for sustainable development pathways: Representation in integrated assessment models
10.1088/1748-9326/ad993a · ExternalCitation · doi-reference
A note on composite likelihood inference and model selection
10.1093/biomet/92.3.519 · ExternalCitation · doi-reference
New specifications for exponential random graph models
10.1111/j.1467-9531.2006.00176.x · ExternalCitation · doi-reference
The long-term development of crisis management in China—Continuity, institutional punctuations and reforms
10.1111/ropr.12455 · ExternalCitation · doi-reference
The knowns and unknowns of policy instrument analysis: Policy tools and the current research agenda on policy mixes
10.1177/2158244019900568 · ExternalCitation · doi-reference
Instruments for policy integration: How policy mixes work together
10.1177/21582440211032161 · ExternalCitation · doi-reference
A theoretical examination of homophily beyond focus theory: Causes, consequences, and new directions
10.1177/21582440231173915 · ExternalCitation · doi-reference
Composite likelihood Bayesian information criteria for model selection in high-dimensional data
10.1198/jasa.2010.tm09414 · ExternalCitation · doi-reference
10.1371/journal.pone.0291633
10.1371/journal.pone.0291633 · ExternalCitation · doi-reference
ergm: A package to fit, simulate and diagnose exponential-family models for networks
10.18637/jss.v024.i03 · ExternalCitation · doi-reference
Specification of exponential-family random graph models: Terms and computational aspects
10.18637/jss.v024.i04 · ExternalCitation · doi-reference
Temporal exponential random graph models with btergm: Estimation and bootstrap confidence intervals
10.18637/jss.v083.i06 · ExternalCitation · doi-reference
ergm 4: New features for analyzing exponential-family random graph models
10.18637/jss.v105.i06 · ExternalCitation · doi-reference
Behavioral assumptions of policy tools
10.2307/2131904 · ExternalCitation · doi-reference
10.4324/9781003163954
10.4324/9781003163954 · ExternalCitation · doi-reference
What does homophily do? A review of the consequences of homophily
10.5465/annals.2020.0230 · ExternalCitation · doi-reference
Computing pseudolikelihood estimators for exponential-family random graph models
10.6339/23-jds1094 · ExternalCitation · doi-reference
