johan koskinen
johan koskinen
Senior Lecturer in Social Network Analysis, University of Melbourne
Verified email at unimelb.edu.au
Title
Cited by
Cited by
Year
Exponential random graph models for social networks: Theory, methods, and applications
D Lusher, J Koskinen, G Robins
Cambridge University Press, 2013
8672013
Social network analysis for ego-nets: Social network analysis for actor-centred networks
N Crossley, E Bellotti, G Edwards, MG Everett, J Koskinen, M Tranmer
Sage, 2015
2372015
Maximum likelihood estimation for social network dynamics
TAB Snijders, J Koskinen, M Schweinberger
The Annals of Applied Statistics 4 (2), 567, 2010
1942010
Networks and geography: Modelling community network structures as the outcome of both spatial and network processes
G Daraganova, P Pattison, J Koskinen, B Mitchell, A Bill, M Watts, S Baum
Social networks 34 (1), 6-17, 2012
1332012
Analysing exponential random graph (p-star) models with missing data using Bayesian data augmentation
JH Koskinen, GL Robins, PE Pattison
Statistical Methodology 7 (3), 366-384, 2010
1202010
Bayesian inference for dynamic social network data
JH Koskinen, TAB Snijders
Journal of statistical planning and inference 137 (12), 3930-3938, 2007
1072007
Modelling the evolution of a bipartite network—Peer referral in interlocking directorates
J Koskinen, C Edling
Social Networks 34 (3), 309-322, 2012
992012
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
762013
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: Melbourne School of Psychological Sciences, The University of …, 2014
54*2014
Change we can believe in: Comparing longitudinal network models on consistency, interpretability and predictive power
P Block, J Koskinen, J Hollway, C Steglich, C Stadtfeld
Social Networks 52, 180-191, 2018
532018
Simulation, estimation, and goodness of fit
J Koskinen, TAB Snijders
Exponential random graph models for social networks, 141-166, 2013
502013
Exponential random graph model fundamentals
J Koskinen, G Daraganova
Exponential random graph models for social networks, 49-76, 2013
482013
Multilevel embeddedness: The case of the global fisheries governance complex
J Hollway, J Koskinen
Social Networks 44, 281-294, 2016
472016
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
462016
Illicit network dynamics: The formation and evolution of a drug trafficking network
D Bright, J Koskinen, A Malm
Journal of Quantitative Criminology 35 (2), 237-258, 2019
322019
Longitudinal models
TAB Snijders, J Koskinen
Exponential Random Graph Models for Social Networks: Theory, Methods and …, 2013
32*2013
The local structure of globalization
J Koskinen, A Lomi
Journal of statistical physics 151 (3-4), 523-548, 2013
292013
The linked importance sampler auxiliary variable metropolis hastings algorithm for distributions with intractable normalising constants
JH Koskinen
MelNet Social Networks Laboratory Technical Report, 08-01, 2008
242008
Simultaneous modeling of initial conditions and time heterogeneity in dynamic networks: An application to Foreign Direct Investments
J Koskinen, A Caimo, A Lomi
Network Science 3 (1), 58-77, 2015
232015
Covert networks: structures, processes and types
K Oliver, N Crossley, G Edwards, J Koskinen, M Everett, C Broccatelli
Unpublished manuscript, University of Manchester, Manchester, UK, 4-13, 2014
222014
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