Johan Koskinen

Exponential Random Graph Modelling

Johan Koskinen

Book Chapter  |  2021

Brokering between (not so) overt and (not so) covert networks in conflict zones

P Stys, J Verweijen, P Muzuri, S Muhindo, C Vogel, JH Koskinen

Journal article  |  2020  |  Global Crime

Borders Moderating Distance: A Social Network Analysis of Spatial Effects on Policy Interaction

Christophe Sohn, Dimitris Christopoulos, Johan Koskinen

Journal article  |  2019  |  Geographical Analysis

). Sticking together under covertness. An evidence of co-offending partnerships in two-mode covert networks

Chiara Broccatelli, Martin Everett, Johan Koskinen

Book Chapter  |  2019

This collection presents an analysis of illicit networks and discusses implications for law enforcement and crime prevention.

Illicit Network Dynamics: The Formation and Evolution of a Drug Trafficking Network

David Bright, Johan Koskinen, Aili Malm

Journal article  |  2019  |  Journal of Quantitative Criminology

Adjusting for measurement error in retrospectively reported work histories: An analysis using swedish register data

J Pina-Sánchez, J Koskinen, I Plewis

Journal article  |  2019  |  Journal of Official Statistics

Abstract We use work histories retrospectively reported and matched to register data from the Swedish unemployment office to asses..

Bayesian analysis of erg models for multilevel, multiplex, and multilayered networks with sampled or missing data

J Koskinen, C Broccatelli, P Wang, G Robins

Conference Proceedings  |  2019  |  Springer Proceedings in Mathematics and Statistics

Outliers and Influential Observations in Exponential Random Graph Models

Johan Koskinen, Peng Wang, Garry Robins, Philippa Pattison

Journal article  |  2018  |  Psychometrika

Exponential Random Graph Models

Johan Koskinen

Book Chapter  |  2018

This article describes a class of log-linear models for statistical analysis of social network data commonly referred to as expone..

Measuring knowledge and experience in two mode temporal networks

Martin G Everett, Chiara Broccatelli, Stephen P Borgatti, Johan Koskinen

Journal article  |  2018  |  Social Networks

Residential Segregation and 'Ethnic Flight' vs. 'Ethnic Avoidance' in Sweden

Tim S Mueller, Thomas U Grund, Johan H Koskinen

Journal article  |  2018  |  European Sociological Review

Change we can believe in: Comparing longitudinal network models on consistency, interpretability and predictive power

Per Block, Johan Koskinen, James Hollway, Christian Steglich, Christoph Stadtfeld

Journal article  |  2018  |  Social Networks

A dynamic discrete-choice model for movement flows

J Koskinen, T Müller, T Grund

Book Chapter  |  2018  |  Springer Proceedings in Mathematics and Statistics

Snowball sampling for estimating exponential random graph models for large networks

Alex D Stivala, Johan H Koskinen, David A Rolls, Peng Wang, Garry L Robins

Journal article  |  2016  |  Social Networks

Temporal dynamics in covert networks

Chiara Broccatelli, Martin Everett, Johan Koskinen

Journal article  |  2016  |  Methodological Innovations

Multilevel Network Analysis for the Social Sciences

Book  |  2016

Multilevel embeddedness: The case of the global fisheries governance complex

James Hollway, Johan Koskinen

Journal article  |  2016  |  Social Networks

Multilevel Bilateralism and Multilateralism: States' Bilateral and Multilateral Fisheries Treaties and Their Secretariats

James Hollway, Johan Koskinen

Book Chapter  |  2016

Modeling Individual Outcomes Using a Multilevel Social Influence (MSI) Model: Individual Versus Team Effects of Trust on Job Satisfaction in an Organisational Context

Filip Agneessens, Johan Koskinen

Book Chapter  |  2016

Social Network Analysis for Ego-Nets Social Network Analysis for Actor-Centred Networks

Nick Crossley, Elisa Bellotti, Gemma Edwards, Martin G Everett, Johan Koskinen, Mark Tranmer

Book  |  2015

This is the first textbook to take readers through each stage of ego-net research, from conception, through research design and da..

Simultaneous modeling of initial conditions and time heterogeneity in dynamic networks: An application to Foreign Direct Investments

Johan Koskinen, Alberto Caimo, Alessandro Lomi

Journal article  |  2015  |  Network Science

Measurement Error in Retrospective Work Histories

Jose Pina-Sanchez, Johan Koskinen, Ian Plewis

Journal article  |  2014  |  Survey Research Methods

Bayesian analysis for partially observed network data, missing ties, attributes and actors

Johan H Koskinen, Garry L Robins, Peng Wang, Philippa E Pattison

Journal article  |  2013  |  Social Networks

The Local Structure of Globalization The Network Dynamics of Foreign Direct Investments in the International Electricity Industry

Johan Koskinen, Alessandro Lomi

Journal article  |  2013  |  Journal of Statistical Physics

Exponential random graph model fundamentals

Johan Koskinen, Galina Daraganova

Book Chapter  |  2013

Longitudinal models

Tom Snijders, Johan Koskinen

Book Chapter  |  2013

Exponential random graph models for social networks: Theory, methods and applications.

Dean LUSHER, Johan Koskinen, Garry Robins

Book  |  2013

Dependence Graphs and Sufficient statistics

Johan Koskinen, Galina Daraganova

Book Chapter  |  2013

Implications of Retrospective Measurement Error in Event History Analysis

Jose Pina-Sánchez, Johan Koskinen, Ian Plewis

Journal article  |  2013  |  Metodología de Encuestas

Simulation, Estimation and Goodness of Fit

Johan Koskinen, Tom Snijders

Book Chapter  |  2013

Modelling the evolution of a bipartite network-Peer referral in interlocking directorates

Johan Koskinen, Christofer Edling

Journal article  |  2012  |  Social Networks

Bayesian Analysis of Multilevel Probit Models for Data With Friendship Dependencies

Johan Koskinen, Sten-Ake Stenberg

Journal article  |  2012  |  Journal of Educational and Behavioral Statistics

Networks and geography: Modelling community network structures as the outcome of both spatial and network processes

Galina Daraganova, Pip Pattison, Johan Koskinen, Bill Mitchell, Anthea Bill, Martin Watts, Scott Baum

Journal article  |  2012  |  Social Networks

MAXIMUM LIKELIHOOD ESTIMATION FOR SOCIAL NETWORK DYNAMICS

Tom AB Snijders, Johan Koskinen, Michael Schweinberger

Journal article  |  2010  |  The Annals of Applied Statistics

Analysing exponential random graph (p-star) models with missing data using Bayesian data augmentation

JH Koskinen, GL Robins, PE Pattison

Journal article  |  2010  |  Statistical Science

Using latent variables to account for heterogeneity in exponential family random graph models

Johan Koskinen

Book Chapter  |  2009

We consider relaxing the homogeneity assumption in exponential family random graph models (ERGMs) using binary latent class indica..

Bayesian Adjustment of Anticipatory Covariates in Analyzing Retrospective Data

Gebrenegus Ghilagaber, Johan Koskinen

Journal article  |  2009  |  Mathematical Population Studies

Bayesian inference for dynamic social network data

Johan H Koskinen, Tom AB Snijders

Journal article  |  2007  |  Journal of Statistical Planning and Inference

Bayesian inference for dynamic social network data

JH Koskinen, TAB Snijders

Journal article  |  2007  |  Journal of Statistical Planning and Inference

On Bayesian Inference for Dynamic Network Data

Johan Koskinen

Book Chapter  |  2005