Peng Wang
Peng Wang
Centre for Transformative Innovation, Swinburne University of Technology
Verified email at swin.edu.au - Homepage
TitleCited byYear
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
7462007
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
2342009
Exponential random graph models for multilevel networks
P Wang, G Robins, P Pattison, E Lazega
Social Networks 35 (1), 96-115, 2013
2232013
Exponential random graph (p∗) models for affiliation networks
P Wang, K Sharpe, GL Robins, PE Pattison
Social Networks 31 (1), 12-25, 2009
1872009
PNet: A program for the simulation and estimation of exponential random graph models
P Wang, G Robins, P Pattison
University of Melbourne, 2006
1812006
Network structure and institutional complexity in an ecology of water management games
M Lubell, G Robins, P Wang
Ecology and Society 19 (4), 2014
1222014
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
1022012
Statistical network analysis for analyzing policy networks
G Robins, JM Lewis, P Wang
Policy Studies Journal 40 (3), 375-401, 2012
822012
Exponential random graph model specifications for bipartite networks—A dependence hierarchy
P Wang, P Pattison, G Robins
Social networks 35 (2), 211-222, 2013
812013
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
632013
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
522013
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
512013
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
512013
Social selection models for multilevel networks
P Wang, G Robins, P Pattison, E Lazega
Social Networks 44, 346-362, 2016
392016
Modelling a disease-relevant contact network of people who inject drugs
DA Rolls, P Wang, R Jenkinson, PE Pattison, GL Robins, R Sacks-Davis, ...
Social Networks 35 (4), 699-710, 2013
352013
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
312016
Board interlocking network and the design of executive compensation packages
LHH Wong, AF Gygax, P Wang
Social Networks 41, 85-100, 2015
302015
MPNet: Program for the simulation and estimation of (p*) exponential random graph models for multilevel networks
P Wang, G Robins, PE Pattison, JH Koskinen
Melbourne: Melbourne School of Psychological Sciences, The University of …, 2014
302014
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
302009
Venue-mediated weak ties in multiplex HIV transmission risk networks among drug-using male sex workers and associates
K Fujimoto, P Wang, MW Ross, ML Williams
American journal of public health 105 (6), 1128-1135, 2015
272015
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Articles 1–20