| Recent developments in exponential random graph (p*) models for social networks G Robins, T Snijders, P Wang, M Handcock, P Pattison Social networks 29 (2), 192-215, 2007 | 1084 | 2007 |
| Exponential random graph models for multilevel networks P Wang, G Robins, P Pattison, E Lazega Social networks 35 (1), 96-115, 2013 | 415 | 2013 |
| Closure, connectivity and degree distributions: Exponential random graph (p*) models for directed social networks G Robins, P Pattison, P Wang Social networks 31 (2), 105-117, 2009 | 378 | 2009 |
| Exponential random graph (p∗) models for affiliation networks P Wang, K Sharpe, GL Robins, PE Pattison Social Networks 31 (1), 12-25, 2009 | 273 | 2009 |
| PNet: A program for the simulation and estimation of exponential random graph models P Wang, G Robins, P Pattison University of Melbourne, 2006 | 273 | 2006 |
| Network structure and institutional complexity in an ecology of water management games M Lubell, G Robins, P Wang Ecology and Society 19 (4), 2014 | 246 | 2014 |
| Social determinants of adaptive and transformative responses to climate change ML Barnes, P Wang, JE Cinner, NAJ Graham, AM Guerrero, L Jasny, ... Nature Climate Change 10 (9), 823-828, 2020 | 229 | 2020 |
| Univariate and multivariate models of positive and negative networks: Liking, disliking, and bully–victim relationships G Huitsing, MAJ Van Duijn, TAB Snijders, P Wang, M Sainio, C Salmivalli, ... Social Networks 34 (4), 645-657, 2012 | 173 | 2012 |
| Statistical network analysis for analyzing policy networks G Robins, JM Lewis, P Wang Policy Studies Journal 40 (3), 375-401, 2012 | 173 | 2012 |
| Exponential random graph model specifications for bipartite networks—A dependence hierarchy P Wang, P Pattison, G Robins Social networks 35 (2), 211-222, 2013 | 135 | 2013 |
| Bayesian analysis for partially observed network data, missing ties, attributes and actors JH Koskinen, GL Robins, P Wang, PE Pattison Social networks 35 (4), 514-527, 2013 | 123 | 2013 |
| Social selection models for multilevel networks P Wang, G Robins, P Pattison, E Lazega Social Networks 44, 346-362, 2016 | 92 | 2016 |
| Snowball sampling for estimating exponential random graph models for large networks AD Stivala, JH Koskinen, DA Rolls, P Wang, GL Robins Social Networks 47, 167-188, 2016 | 88 | 2016 |
| Tacit knowledge sharing in open innovation projects A Terhorst, D Lusher, D Bolton, I Elsum, P Wang Project Management Journal 49 (4), 5-19, 2018 | 87 | 2018 |
| Conditional estimation of exponential random graph models from snowball sampling designs PE Pattison, GL Robins, TAB Snijders, P Wang Journal of mathematical psychology 57 (6), 284-296, 2013 | 86 | 2013 |
| Board interlocking network and the design of executive compensation packages LHH Wong, AF Gygax, P Wang Social networks 41, 85-100, 2015 | 79 | 2015 |
| Exponential random graph model extensions: Models for multiple networks and bipartite networks P Wang Exponential random graph models for social networks: Theory, methods, and …, 2013 | 70 | 2013 |
| PNet: program for the simulation and estimation of exponential random graph (p*) models: user manual P Wang, G Robins, P Pattison Melbourne, Australia: University of Melbourne, 2009 | 67* | 2009 |
| External exposure, boundary-spanning, and opinion leadership in remote communities: A network experiment P Matous, P Wang Social Networks 56, 10-22, 2019 | 63 | 2019 |
| MPNet: Program for the simulation and estimation of (p*) exponential random graph models for multilevel networks P Wang, G Robins, P Pattison, JH Koskinen Melbourne, Australia, 2014 | 58* | 2014 |
Garry RobinsProfessor, Melbourne School of Psychological Sciences, University of MelbourneVerified email at unimelb.edu.au
