Martin Everett is a Professor in Social Network Analysis at the University of Manchester and currently co-directs the Mitchell Centre for Social Network Analysis (with Nick Crossley and Elisa Bellotti). He has been a past president of the International Network for Social Network Analysis (INSNA) and is co-author of the software package UCINET and the Sage book “Analyzing Social Networks”. Martin regularly gives invited talks at major conferences and is editor of the journal Network Science. He is a fellow of the Academy of Social Sciences and a Simmel award holder, the highest honour given by INSNA.
Nick Crossley is Professor of Sociology at The University of Manchester. His main work using social network analysis has focused upon music worlds, social movements and covert networks. He has also written extensively about 'relational sociology', a theoretical position that advocates a focus upon networks in sociology. His most recent book is “Networks of Sound, Style and Subversion: the Punk and Post-Punk Worlds of Manchester, London, Liverpool and Sheffield, 1975-1976” (Manchester University Press).
Nikita Basov is a Senior Lecturer in Network Analysis at the University of Manchester. He has a PhD in Sociology from St. Petersburg University, 2009. From 2013 to 2022, as Head of Science/Scientific Manager, he led Centre for German and European Studies, St. Petersburg University – Bielefeld University. In parallel, he worked as Lead researcher at the Faculty of Sociology of St. Petersburg University, until leaving in 2022. Nikita’s main research interest is unveiling the mechanisms of meaning creation in the interplay between social and cultural (symbolic and material) structures. He advances multidimensional socio-semantic and socio-material network analyses, with a particular focus on combining ethnographic data/methods with computational natural language processing and statistical network modelling. His key papers can be found in Social Networks, Poetics, and American Journal of Cultural Sociology.
Tomáš Diviák is a Senior Lecturer at the Department of Criminology and the Mitchell Centre for Social Network Analysis at The University of Manchester. He obtained his Ph.D. in Sociology at Charles University (Czechia) and University of Groningen (Netherlands) with a thesis called ‘Criminal networks: actors, mechanisms, and structures’. His research focuses on social network analysis (SNA), most prominently statistical models for network data, and on analytical sociology and criminology. He is interested in the application of SNA, mainly to criminal networks, but also to political, organizational, health-related, or historical networks.
Elisa Bellotti is Senior Lecturer in Sociology and member of the Mitchell Centre for social network analysis at the University of Manchester. Dr Bellotti has published extensively on applications of social network analysis and mixed methods in sociological substantive fields, like criminal networks, scientific networks, and personal networks. Her recent work focuses on gender aspects of social network formations and outcomes, and on health networks. She has written a book on “Qualitative networks. Mixed methods in sociological research” (Routledge, 2015) and co-authored a book on “Social Network Analysis for egonets” (Sage, 2015).
Philip Leifeld is a Professor in the Department of Social Statistics, Mercator Fellow in Digital Platform Ecosystems at the University of Passau (2022-27), and President of the APSA Section on Political Networks (2024–25). Before joining Manchester, he was a professor at the University of Glasgow (2016-19) and the University of Essex (2019-24). Philip’s work combines statistical and formal modelling of temporal networks with applications in political science and public policy. He is the author of several software packages including Discourse Network Analyzer, btergm, and texreg. His work has appeared in journals like the American Journal of Political Science, Physica A: Statistical Mechanics, the Journal of Statistical Software, and Nature Climate Change, in addition to network analysis journals like Network Science, Social Networks, and Computational Social Networks.
Michael Genkin received his PhD in Sociology from Cornell University and is currently Lecturer in Sociology at the University of Manchester. His primary research uses the social networks perspective to understand a foundational problem of sociology – how social order emerges, how it is maintained, and how it breaks down or changes. More specifically he does work on the role of balance theory, homophily, and the interplay of multiplex ties to answer various aspects of this question. His second research stream uses quantitative methods to understand the ecological forces that explain how individuals and organizations adopt political violence as a strategy. His work has appeared in the American Journal of Sociology, American Sociological Review, Social Networks, Social Science Research, and the Journal of Conflict Resolution.
Filip Agneessens is a Senior Lecturer (Associate Professor) in Sociology at the University of Manchester. He has published on a diversity of topics related to social networks, including measures of centrality, data collection for ego-networks and complete networks, social support, two-mode networks, negative ties, multilevel network models and other statistical models. Filip’s research specifically focuses on the antecedents and consequences of interactions between individuals in group settings (organizations, teams, classrooms).
His work has appeared in journals like Social Networks, Journal of Mathematical Sociology, British Journal of Social Psychology, Work & Stress, Journal of Management Studies, Human Resource Management, International Journal of Nursing Studies, Public Administration and Review of Policy Research. Together with Martin Everett, he was a guest editor for a special issue on “Advances in Two-mode Social Network Analysis” in the journal Social Networks. Together with Nick Harrigan and Joe Labianca, he guest-edited a special issue on “Negative and Signed Tie Networks”. Together with Steve Borgatti, Martin Everett and Jeff Johnson, he co-authored the books Analyzing Social Networks with R (Sage, 2022) and Analyzing Social Networks (Sage, 2024).
In the last 20 years, he has taught numerous introductory and advanced social network courses and workshops.
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