J Koskinen

Biographic Data

ID16058
NAMEJ Koskinen
GIVEN NAMESJ
FAMILY NAMEKoskinen
SIGNATUREKOSKINEN J
AFFILIATIONSUniversity of Manchester
ORCID0000-0002-6860-325X
VERIFIEDYes
TOTAL WORKS24
TOTAL CITATIONS83
AUTHOR COUNT24
EDITOR COUNT0
FIRST PUBLICATION YEAR2011
LATEST PUBLICATION YEAR2025
H-INDEX5

  • In the shadow of silence

    Open AccessJonathan Januar, H Colin Gallagher et al.ARTICLESocial Networks2025References: 16

  • Modeling the “who” and “how” of social influence in the adoption of health practices

    Open AccessNeelam Modi, J Koskinen et al.ARTICLESocial Networks2025References: 12

  • Network patterns of university-industry collaboration

    Open AccessH Colin Gallagher, Colin Gallagher et al.ARTICLEScientometrics2023

    University–industry (U–I) collaboration takes on many forms, from research services, teaching and training, to curiosity-led research. In the chemical industries, academic chemists generate new knowledge, address novel problems faced by industry, and train the future workforce in cutting-edge methods. In this study, we examine the dynamic structures of collaborative research contracts and grants between academic and industry partners over a 5-yea…

  • Multilevel network interventions

    Open AccessG Robins, D Lusher et al.ARTICLESocial Networks2023

  • Analysing networks of networks

    Open AccessJ Koskinen, Pete Jones et al.ARTICLESocial Networks2023References: 34

    We consider data with multiple observations or reports on a network in the case when these networks themselves are connected through some form of network ties. We could take the example of a cognitive social structure where there is another type of tie connecting the actors that provide the reports; or the study of interpersonal spillover effects from one cultural domain to another facilitated by the social ties. Another example is when the indiv…

  • Network formation in organizational settings

    Open AccessF Agneessens, Francisco Trincado-Munoz et al.ARTICLESocial Networks2022Cited by: 6References: 32

  • Circular specifications and “predicting” with information from the future

    Open AccessPer Block, James Hollway et al.ARTICLENetwork Science2022Cited by: 6References: 7

    We review the empirical comparison of Stochastic Actor-oriented Models (SAOMs) and Temporal Exponential Random Graph Models (TERGMs) by Leifeld & Cranmer in this journal [Network Science 7(1):20–51, 2019]. When specifying their TERGM, they use exogenous nodal attributes calculated from the outcome networks’ observed degrees instead of endogenous ERGM equivalents of structural effects as used in the SAOM. This turns the modeled endogeneity into ci…

  • Reprint of

    Open AccessPatrycja Stys, Samuel Muhindo et al.ARTICLESocial Networks2022Cited by: 1References: 84

  • Trust, quality, and the network collection experience

    Open AccessPatrycja Stys, Samuel Muhindo et al.ARTICLESocial Networks2022Cited by: 3References: 92

    Data collection in social network research has advanced to include online questionnaires, digital metadata mining of internet sites, and the use of remote-sensing technologies. Some scholars however call for more attention to nuanced understandings of ties and contexts in studies of social structure and relationships, evoking practices that characterise the field's foundational works. This article's two studies reference these earlier efforts, dr…

  • Measuring centrality in film narratives using dynamic character interaction networks

    Open AccessPete Jones, Eithne Quinn et al.ARTICLESocial Networks2020

  • Multilevel determinants of collaboration between organised criminal groups

    Open AccessJames A Coutinho, Tomáš Diviák et al.ARTICLESocial Networks2020

  • International Students' Cross-Cultural Adjustment

    Open AccessGiovanni Radhitio Putra Sadewo, Emiko S Kashima et al.ARTICLEJournal of Cross-Cultural…2020Cited by: 2References: 71

    International education provides students with an opportunity to develop new social networks while they fit in to the new culture. In a three-wave longitudinal study, we investigated how social networks and psychological adjustment coevolve within a group of international students enrolled in a coursework degree at the tertiary level. Using the Stochastic Actor-Oriented Model (SAOM), we identified the occurrences of social selection based on the …

  • Illicit Network Dynamics

    Open AccessDavid Bright, J Koskinen et al.ARTICLEJournal of Quantitative Criminology2019

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

    Open AccessPatrycja Stys, Judith Verweijen et al.ARTICLEGlobal Crime2019Cited by: 5References: 42

    There is a tendency to consider covert networks as separate from overt networks. Drawing on data from the Democratic Republic of the Congo, we demonstrate that this is not the case and identify how covert and overt networks are mutually constitutive. While most studies of African brokers have relied on network metaphors like 'Big Men' and 'social membranes', we consider the embeddedness of 'covert' networks in 'overt' networks explicitly. We perf…

  • Measuring knowledge and experience in two mode temporal networks

    Open AccessM G Everett, C Broccatelli et al.ARTICLESocial Networks2018

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

    Open AccessTim S Müller, Tim Müller et al.ARTICLEEuropean Sociological Review2018Cited by: 12References: 55

    Residential segregation along ethnic categories has been associated with social disadvantages of minority group members. It is considered a driving factor in the reproduction of social inequalities and a pressing issue in many societies. While most research focuses on neighbourhood segregation in the United States, less is known about the origins of ethnic enclaves in European cities. We use complete data of residential moves within Stockholm mun…

  • Change we can believe in

    Open AccessPer Block, J Koskinen et al.ARTICLESocial Networks2017

  • Snowball sampling for estimating exponential random graph models for large networks

    Open AccessAlex D Stivala, J Koskinen et al.ARTICLESocial Networks2016

  • Temporal dynamics in covert networks

    Open AccessC Broccatelli, M G Everett et al.ARTICLEMethodological Innovations2016Cited by: 5References: 41

    Criminal organisations tend to be structured as a network in order to optimise flows of resource exchanges. The consolidation of these structures strengthens the criminal organisation’s capability of becoming more and more efficient over time. Recently, researchers in the field of covert networks have begun to analyse the dynamics of these networks. Thus far, the models and methods used to analyse the temporal dynamics of covert networks have com…

  • Multilevel embeddedness

    Open AccessJames Hollway, J KoskinenARTICLESocial Networks2016Cited by: 32References: 44

  • Simultaneous modeling of initial conditions and time heterogeneity in dynamic networks

    Open AccessJ Koskinen, A Caimo et al.ARTICLENetwork Science2015Cited by: 11References: 10

    In dynamic networks, the presence of ties are subject both to endogenous network dependencies and spatial dependencies. Current statistical models for change over time are typically defined relative to some initial condition, thus skirting the issue of where the first network came from. Additionally, while these longitudinal network models may explain the dynamics of change in the network over time, they do not explain the change in those dynamic…

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

    J Koskinen, Johan H Koskinen et al.ARTICLESocial Networks2013

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

    Open AccessJ Koskinen, Christofer EdlingARTICLESocial Networks2012

  • Networks and geography

    Open AccessGalina Daraganova, P Pattison et al.ARTICLESocial Networks2011