Multilevel Network Models is a statistical modeling framework that extends traditional network models by incorporating hierarchical data structures, enabling the simultaneous analysis of network dependencies and multilevel random effects within a unified Bayesian inference paradigm.
182
Publications
14.6K
Citations
528
Authors
270
Institutions
Publications per year
2017–2026
70
Parents
Publications
182
A Network Approach to Psychopathology: New Insights into Clinical Longitudinal Data
Laura F. Bringmann, Nathalie Vissers, Marieke Wichers et al. · PLoS ONE · 2013 · 722 citations · Full text
Does Distance Matter in the Age of the Internet?
Diana Mok, Barry Wellman, Juan Antonio Carrasco · Urban Studies · 2010 · 382 citations
1–5 of 182
Authors
528
- TA
9
h-index
- MA
4
h-index
- TC
4
h-index
- EL
4
h-index
- GR
4
h-index
1–5 of 528
Institutions
270
University of Groningen
Groningen, The Netherlands
8 h-index
21 publications
1.9K citations
Michigan State University
East Lansing, United States
7 h-index
10 publications
743 citations
University of Amsterdam
Amsterdam, The Netherlands
7 h-index
10 publications
1.4K citations
University of Michigan
Ann Arbor, United States
7 h-index
15 publications
3.6K citations
Swinburne University of Technology
Melbourne, Australia
6 h-index
12 publications
651 citations
Pennsylvania State University
State College, United States
5 h-index
9 publications
1.4K citations
The University of Melbourne
Melbourne, Australia
5 h-index
9 publications
1.3K citations
University of Southern California
Los Angeles, United States
4 h-index
10 publications
627 citations
1–8 of 270
Venues
- Social Networks
16 publications · 1.2K citations
15
h-index
- Journal of the Royal Statistical Society Series A (Statistics in Society)
3 publications · 207 citations
3
h-index
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
3 publications · 171 citations
3
h-index
- PLoS ONE
3 publications · 763 citations
3
h-index
- Human Relations
2 publications · 79 citations
2
h-index
1–5