johan koskinen

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Garry RobinsProfessor, Melbourne School of Psychological Sciences, University of MelbourneVerified email at unimelb.edu.au
Tom SnijdersUniversity of Groningen; University of Oxford; COSTNET CA15109Verified email at nuffield.ox.ac.uk
Dean LusherProfessor of Innovation Studies, Swinburne University of TechnologyVerified email at swin.edu.au
Philippa (Pip) PattisonUniversity of SydneyVerified email at sydney.edu.au
Martin G EverettProfessor of Social Network Analysis, University of ManchesterVerified email at manchester.ac.uk
Peng WangCentre for Transformative Innovation, Swinburne University of TechnologyVerified email at swin.edu.au
Gemma EdwardsLecturer in Sociology, University of ManchesterVerified email at manchester.ac.uk
Nick CrossleyProfessor of Sociology, University of Manchester, UKVerified email at manchester.ac.uk
James HollwayDirector Global Governance Centre, Associate Professor, Geneva Graduate InstituteVerified email at graduateinstitute.ch
Chiara BroccatelliISSRVerified email at uq.edu.au
Michael SchweinbergerProfessor of Statistics, The Pennsylvania State UniversityVerified email at psu.edu
Elisa BellottiUniversity of ManchesterVerified email at manchester.ac.uk
David BrightDeakin UniversityVerified email at deakin.edu.au
Per BlockUniversity of ZürichVerified email at uzh.ch
Christoph StadtfeldAssociate Professor of Social Networks, ETH ZurichVerified email at ethz.ch
Jose Pina-SánchezProfessor in Quantitative Criminology at the University of LeedsVerified email at leeds.ac.uk
H Colin GallagherMelbourne School of Population and Global Health, University of MelbourneVerified email at unimelb.edu.au
Mark TranmerProfessor of Quantitative Social Science, University of GlasgowVerified email at glasgow.ac.uk
Christofer EdlingLund UniversityVerified email at soc.lu.se
Aili MalmCalifornia State University, Long BeachVerified email at csulb.edu

johan koskinen

Senior Lecturer in Social Network Analysis, University of Melbourne

Verified email at unimelb.edu.au - Homepage

social network analysis MCMC Bayesian inference ERGM Siena


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Exponential Random Graph Models for Social Networks: Theory, Methods, and Applications D Lusher, J Koskinen, G Robins Exponential Random Graph Models for Social Networks: Theory, Methods, and …, 2013	1692	2013
Exponential random graph models for social networks: theory, methods, and applications D Lusher, J Koskinen, G Robins Exponential random graph models for social networks: theory, methods, and …, 2013	1662	2013
Exponential random graph models for social networks: Theory, methods, and applications D Lusher, J Koskinen, G Robins Cambridge University Press, 2013	1658	2013
Social network analysis for ego-nets: Social network analysis for actor-centred networks N Crossley, E Bellotti, JH Koskinen, MG Everett, G Edwards SAGE Publications Ltd, 2015	625	2015
Maximum likelihood estimation for social network dynamics TAB Snijders, J Koskinen, M Schweinberger The annals of applied statistics 4 (2), 567, 2010	244	2010
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	185	2012
Modelling the evolution of a bipartite network—Peer referral in interlocking directorates J Koskinen, C Edling Social Networks 34 (3), 309-322, 2012	160	2012
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	149	2010
Bayesian inference for dynamic social network data JH Koskinen, TAB Snijders Journal of statistical planning and inference 137 (12), 3930-3938, 2007	133	2007
Illicit network dynamics: The formation and evolution of a drug trafficking network D Bright, J Koskinen, A Malm Journal of Quantitative Criminology 35, 237-258, 2019	130	2019
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	128	2013
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	108	2018
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	92	2016
Multilevel embeddedness: The case of the global fisheries governance complex J Hollway, J Koskinen Social Networks 44, 281-294, 2016	81	2016
Simulation, estimation and goodness of fit J Koskinen, TAB Snijders Exponential random graph models for social networks: Theory, methods and …, 2013	79	2013
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	75*	2014
Exponential random graph model fundamentals J Koskinen, G Daraganova Exponential Random Graph Models for Social Networks: Theory, Methods and …, 2013	75	2013
Residential segregation and ‘ethnic flight’vs.‘ethnic avoidance’in Sweden TS Müller, TU Grund, JH Koskinen European Sociological Review 34 (3), 268-285, 2018	52	2018
Multilevel longitudinal analysis of social networks J Koskinen, TAB Snijders Journal of the Royal Statistical Society Series A: Statistics in Society 186 …, 2023	48	2023
The local structure of globalization: The network dynamics of foreign direct investments in the international electricity industry J Koskinen, A Lomi Journal of statistical physics 151, 523-548, 2013	46	2013

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