Tomáš Diviák
Biographic Data
| ID | 100845 |
|---|---|
| NAME | Tomáš Diviák |
| GIVEN NAMES | Tomáš |
| FAMILY NAME | Diviák |
| SIGNATURE | DIVIÁK T |
| AFFILIATIONS | University of Manchester |
| ORCID | 0000-0001-7239-8466 |
| VERIFIED | Yes |
| TOTAL WORKS | 21 |
| TOTAL CITATIONS | 22 |
| AUTHOR COUNT | 21 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Introduction to using relational hyperevent models to study criminal networks
Relational hyperevent data capture time-stamped/-ordered interactions among any number of nodes in a network. Such data are central in criminal network research, both in studies on social organisation of crime and on co-offending. Until recently, researchers had to coerce these data for standard network methods, risking loss of information and biased results. The relational hyperevent model (RHEM) solves this by modelling hyperevent data directly…
‘Joining the dots’ and addressing the challenges with Greater Manchester's modern slavery and human trafficking (MSHT) partnerships approach
Modern slavery and human trafficking (MSHT) continue to present complex challenges internationally and in the United Kingdom, especially when intersecting with migration systems, labour markets, criminal justice and welfare regimes. This article presents the first comprehensive review of MSHT partnerships in the city-region of Greater Manchester, which has aspects of devolved governance and a well-established culture of cross-sector collaboration…
Understanding the Mechanisms that Drive Relational Events Dynamics and Structure in Corruption Networks
Revisiting Ukrainian refugees struggling to integrate into Czech school social networks
This study explores the social integration of Ukrainian refugee students in Czech schools, focusing on peer network dynamics in classrooms with a significant proportion of ethnic minority students. We employ longitudinal social network analysis combined with qualitative insights to investigate the evolution of friendship and exclusion ties among 266 students (ages 11–15, 45.11% girls, 21.05% Ukrainian) in 12 classrooms across two time points duri…
Structure, positions and mechanisms: A case study of two Dutch Salafi-Jihadi networks
Social network analysis can be a powerful tool to better understand the social context of terrorist activities, and it may also offer potential leads for agencies to intervene. Our access to Dutch police information allows us to analyse the relational features of two networks that include actors who planned acts of terrorism and were active in the dissemination of a Salafi-Jihadi interpretation of Islam ( n = 57; n = 26). Based on a mixed-method …
Diversifying Crime Datasets in Introductory Statistical Courses in Criminology
Contemporary criminology issues are increasingly global, cross-cultural, and multilingual. Moreover, students from different cultural and national backgrounds will need to apply data analytics in their respective contexts. Crime data used in statistical courses should reflect this diversity, and in turn enhance the equality and inclusivity of the teaching curriculum. Supported by evidence-based pedagogic principles and evaluations, researchers ha…
Radical networks and terrorist action: The importance of social relationships and network positions
In most models on terrorism, interaction with other radicals is a key factor. However, systematic empirical evidence that radical ties affect behaviour is scarce. Our access to detailed police information allows us to apply Social Network Analysis (SNA) on a Dutch Salafi-Jihadi network and analyse the social relationships and network positions of 80 actors, out of whom 20 turned to terrorist acts. The results suggest that ties to leaders and terr…
Interaction dynamics in classroom group work
Co-offending among outlaw motorcycle gang members: The role of social and geographical proximity
Criminal Justice: Maatschappelijk effectieve strafrechtspleging 2023-2029
Slovak MPs’ response to the 2022 Russian invasion of Ukraine in light of conspiracy theories and the polarization of political discourse
The 2022 Russian invasion of Ukraine received widespread international condemnation. In Slovakia, the invasion became a subject of much political discussion with large number of MPs openly advocating Russian interests. This study investigates Slovak political discourse on Facebook in the weeks before and after the invasion began. We examine the discourse through the lens of Discourse Network Analysis, combining qualitative content analysis of MPs…
Ukrainian refugees struggling to integrate into Czech school social networks
We provide a brief insight into the integration of Ukrainian refugees in school social networks in the Czech Republic following the mass migration caused by the Russian invasion of Ukraine. Our sample contains twelve classrooms with a total of 266 students in grades 5 to 9; 21.05% of the students were of Ukrainian origin. We employed multiplex exponential random graph modelling to assess the level to which Ukrainian refugees were integrated withi…
Women trafficking networks: Structure and stages of women trafficking in five Dutch small-scale networks
In this study, we investigated the relation between the different stages of women trafficking (i.e. recruitment, entrance, accommodation, labor, and finance) and the structure of five criminal networks involved in women trafficking in the Netherlands ( Ns ranging from 6 to 15). On the one hand, it could be argued that for efficiency and avoidance of being detected by law enforcement agencies, the network structure might align with the different s…
Exponential Random Graph Models: Modelling Relational Mechanisms in the Inter-organisational Network of the Czech Coal Subsystem
Tato studie představuje první ucelený úvod do exponenciálních modelů náhodných grafů (ERGM) v české odborné literatuře. ERGM aplikujeme na síť 68 organizací zapojených do subsystému české uhelné politiky. Nejprve shrnujeme hlavní omezení statistického modelování síťových dat vyplývající ze vzájemných závislostí mezi pozorováními a vysvětlujeme jejich principiální řešení prostřendictvím ERGM. Dále se zabýváme metateoretickými předpoklady ERGM a je…
Facilitating the Czech Coal Phase-Out: What Drives Inter-Organizational Collaboration
Responses to current environmental challenges, such as the energy transition, require collaboration among diverse actors interacting in complex and conflicting policy settings. This study examines the drivers of inter-organizational collaboration within the conflictual context of Czech coal phase-out by investigating hypotheses on belief homophily, political influence, and expert information. It uses a sequential mixed-methods research design com…
Dynamics and disruption: Structural and individual changes in two Dutch Jihadi networks after police interventions
Longitudinal studies of criminal networks are rare yet necessary to assess the adaptation and recovery of criminal networks after disruptions. We study the structural and individual effects of law enforcement disruption on criminal networks using longitudinal data on two Dutch jihadi networks (n1 = 57; n2 = 26). We expect that actors in criminal networks under disruption seek security and to remain concealed as much as possible. We argue how the …
A Man’s world? Comparing the structural positions of men and women in an organized criminal network
The crime gender gap is the difference between the levels of participation of men and women in crime, with men responsible for more crime than women. Recent evidence suggests that the crime gender gap is closing, both in crime in general and in organized crime. However, organized crime differs from other forms of criminal activity in that it entails an organizational structure of cooperation among offenders. Assessing whether the gender gap in or…
Multilevel determinants of collaboration between organised criminal groups
Poisonous connections: A case study on a Czech counterfeit alcohol distribution network
Using data on 32 actors and ties among them drawn from available court files, we combine analytical sociology with statistical models for networks in order to analyse a case of a counterfeit alcohol distribution network from the Czech Republic. We formulate a theory of action and identify relational mechanisms which could explain how the structure of the network emerged and describe. We use the exponential random graph model to test these mechani…
Looking Eastward: Network Analysis of Czech Deputies and Their Foreign Policy Groups
This article analyzes a structure of relations among the members of the Chamber of Deputies, the lower house of the Parliament of the Czech Republic, as reported through their memberships in bilateral and multilateral groups of friendship which establish professional contacts between the Chamber of Deputies and foreign parliaments. We approach the structure as a social network of members of parliament and interpret the memberships as proxy indica…
Key aspects of covert networks data collection: Problems, challenges, and opportunities
Transactional activism without transactions: Network perspective on anti-corruption activism in the Czech Republic
In 2007, Petrova and Tarrow coined the term transactional activism, arguing that, despite weak individual-level political participation, civil societies in Central and Eastern Europe were surprisingly strong due to their capacity to establish transactional links. Yet the research which followed, relying mostly on quantitative data, has not uncovered much evidence of how transactional activism works. To make advances here, we take a more qualitati…
Key aspects of covert networks data collection: Problems, challenges, and opportunities
Co-offending among outlaw motorcycle gang members: The role of social and geographical proximity
Criminal Justice: Maatschappelijk effectieve strafrechtspleging 2023-2029
Dynamics and disruption: Structural and individual changes in two Dutch Jihadi networks after police interventions
Longitudinal studies of criminal networks are rare yet necessary to assess the adaptation and recovery of criminal networks after disruptions. We study the structural and individual effects of law enforcement disruption on criminal networks using longitudinal data on two Dutch jihadi networks (n1 = 57; n2 = 26). We expect that actors in criminal networks under disruption seek security and to remain concealed as much as possible. We argue how the …
Facilitating the Czech Coal Phase-Out: What Drives Inter-Organizational Collaboration
Responses to current environmental challenges, such as the energy transition, require collaboration among diverse actors interacting in complex and conflicting policy settings. This study examines the drivers of inter-organizational collaboration within the conflictual context of Czech coal phase-out by investigating hypotheses on belief homophily, political influence, and expert information. It uses a sequential mixed-methods research design com…
Transactional activism without transactions: Network perspective on anti-corruption activism in the Czech Republic
In 2007, Petrova and Tarrow coined the term transactional activism, arguing that, despite weak individual-level political participation, civil societies in Central and Eastern Europe were surprisingly strong due to their capacity to establish transactional links. Yet the research which followed, relying mostly on quantitative data, has not uncovered much evidence of how transactional activism works. To make advances here, we take a more qualitati…
Revisiting Ukrainian refugees struggling to integrate into Czech school social networks
This study explores the social integration of Ukrainian refugee students in Czech schools, focusing on peer network dynamics in classrooms with a significant proportion of ethnic minority students. We employ longitudinal social network analysis combined with qualitative insights to investigate the evolution of friendship and exclusion ties among 266 students (ages 11–15, 45.11% girls, 21.05% Ukrainian) in 12 classrooms across two time points duri…
Poisonous connections: A case study on a Czech counterfeit alcohol distribution network
Using data on 32 actors and ties among them drawn from available court files, we combine analytical sociology with statistical models for networks in order to analyse a case of a counterfeit alcohol distribution network from the Czech Republic. We formulate a theory of action and identify relational mechanisms which could explain how the structure of the network emerged and describe. We use the exponential random graph model to test these mechani…
Looking Eastward: Network Analysis of Czech Deputies and Their Foreign Policy Groups
This article analyzes a structure of relations among the members of the Chamber of Deputies, the lower house of the Parliament of the Czech Republic, as reported through their memberships in bilateral and multilateral groups of friendship which establish professional contacts between the Chamber of Deputies and foreign parliaments. We approach the structure as a social network of members of parliament and interpret the memberships as proxy indica…
Transactional activism without transactions: Network perspective on anti-corruption activism in the Czech Republic
In 2007, Petrova and Tarrow coined the term transactional activism, arguing that, despite weak individual-level political participation, civil societies in Central and Eastern Europe were surprisingly strong due to their capacity to establish transactional links. Yet the research which followed, relying mostly on quantitative data, has not uncovered much evidence of how transactional activism works. To make advances here, we take a more qualitati…
Poisonous connections: A case study on a Czech counterfeit alcohol distribution network
Using data on 32 actors and ties among them drawn from available court files, we combine analytical sociology with statistical models for networks in order to analyse a case of a counterfeit alcohol distribution network from the Czech Republic. We formulate a theory of action and identify relational mechanisms which could explain how the structure of the network emerged and describe. We use the exponential random graph model to test these mechani…
Looking Eastward: Network Analysis of Czech Deputies and Their Foreign Policy Groups
This article analyzes a structure of relations among the members of the Chamber of Deputies, the lower house of the Parliament of the Czech Republic, as reported through their memberships in bilateral and multilateral groups of friendship which establish professional contacts between the Chamber of Deputies and foreign parliaments. We approach the structure as a social network of members of parliament and interpret the memberships as proxy indica…
Key aspects of covert networks data collection: Problems, challenges, and opportunities
A Man’s world? Comparing the structural positions of men and women in an organized criminal network
The crime gender gap is the difference between the levels of participation of men and women in crime, with men responsible for more crime than women. Recent evidence suggests that the crime gender gap is closing, both in crime in general and in organized crime. However, organized crime differs from other forms of criminal activity in that it entails an organizational structure of cooperation among offenders. Assessing whether the gender gap in or…
Multilevel determinants of collaboration between organised criminal groups
Facilitating the Czech Coal Phase-Out: What Drives Inter-Organizational Collaboration
Responses to current environmental challenges, such as the energy transition, require collaboration among diverse actors interacting in complex and conflicting policy settings. This study examines the drivers of inter-organizational collaboration within the conflictual context of Czech coal phase-out by investigating hypotheses on belief homophily, political influence, and expert information. It uses a sequential mixed-methods research design com…
Dynamics and disruption: Structural and individual changes in two Dutch Jihadi networks after police interventions
Longitudinal studies of criminal networks are rare yet necessary to assess the adaptation and recovery of criminal networks after disruptions. We study the structural and individual effects of law enforcement disruption on criminal networks using longitudinal data on two Dutch jihadi networks (n1 = 57; n2 = 26). We expect that actors in criminal networks under disruption seek security and to remain concealed as much as possible. We argue how the …
Slovak MPs’ response to the 2022 Russian invasion of Ukraine in light of conspiracy theories and the polarization of political discourse
The 2022 Russian invasion of Ukraine received widespread international condemnation. In Slovakia, the invasion became a subject of much political discussion with large number of MPs openly advocating Russian interests. This study investigates Slovak political discourse on Facebook in the weeks before and after the invasion began. We examine the discourse through the lens of Discourse Network Analysis, combining qualitative content analysis of MPs…
Ukrainian refugees struggling to integrate into Czech school social networks
We provide a brief insight into the integration of Ukrainian refugees in school social networks in the Czech Republic following the mass migration caused by the Russian invasion of Ukraine. Our sample contains twelve classrooms with a total of 266 students in grades 5 to 9; 21.05% of the students were of Ukrainian origin. We employed multiplex exponential random graph modelling to assess the level to which Ukrainian refugees were integrated withi…
Women trafficking networks: Structure and stages of women trafficking in five Dutch small-scale networks
In this study, we investigated the relation between the different stages of women trafficking (i.e. recruitment, entrance, accommodation, labor, and finance) and the structure of five criminal networks involved in women trafficking in the Netherlands ( Ns ranging from 6 to 15). On the one hand, it could be argued that for efficiency and avoidance of being detected by law enforcement agencies, the network structure might align with the different s…
Exponential Random Graph Models: Modelling Relational Mechanisms in the Inter-organisational Network of the Czech Coal Subsystem
Tato studie představuje první ucelený úvod do exponenciálních modelů náhodných grafů (ERGM) v české odborné literatuře. ERGM aplikujeme na síť 68 organizací zapojených do subsystému české uhelné politiky. Nejprve shrnujeme hlavní omezení statistického modelování síťových dat vyplývající ze vzájemných závislostí mezi pozorováními a vysvětlujeme jejich principiální řešení prostřendictvím ERGM. Dále se zabýváme metateoretickými předpoklady ERGM a je…
Structure, positions and mechanisms: A case study of two Dutch Salafi-Jihadi networks
Social network analysis can be a powerful tool to better understand the social context of terrorist activities, and it may also offer potential leads for agencies to intervene. Our access to Dutch police information allows us to analyse the relational features of two networks that include actors who planned acts of terrorism and were active in the dissemination of a Salafi-Jihadi interpretation of Islam ( n = 57; n = 26). Based on a mixed-method …
Diversifying Crime Datasets in Introductory Statistical Courses in Criminology
Contemporary criminology issues are increasingly global, cross-cultural, and multilingual. Moreover, students from different cultural and national backgrounds will need to apply data analytics in their respective contexts. Crime data used in statistical courses should reflect this diversity, and in turn enhance the equality and inclusivity of the teaching curriculum. Supported by evidence-based pedagogic principles and evaluations, researchers ha…
Radical networks and terrorist action: The importance of social relationships and network positions
In most models on terrorism, interaction with other radicals is a key factor. However, systematic empirical evidence that radical ties affect behaviour is scarce. Our access to detailed police information allows us to apply Social Network Analysis (SNA) on a Dutch Salafi-Jihadi network and analyse the social relationships and network positions of 80 actors, out of whom 20 turned to terrorist acts. The results suggest that ties to leaders and terr…
Interaction dynamics in classroom group work
Co-offending among outlaw motorcycle gang members: The role of social and geographical proximity
Criminal Justice: Maatschappelijk effectieve strafrechtspleging 2023-2029
Understanding the Mechanisms that Drive Relational Events Dynamics and Structure in Corruption Networks
Revisiting Ukrainian refugees struggling to integrate into Czech school social networks
This study explores the social integration of Ukrainian refugee students in Czech schools, focusing on peer network dynamics in classrooms with a significant proportion of ethnic minority students. We employ longitudinal social network analysis combined with qualitative insights to investigate the evolution of friendship and exclusion ties among 266 students (ages 11–15, 45.11% girls, 21.05% Ukrainian) in 12 classrooms across two time points duri…
Introduction to using relational hyperevent models to study criminal networks
Relational hyperevent data capture time-stamped/-ordered interactions among any number of nodes in a network. Such data are central in criminal network research, both in studies on social organisation of crime and on co-offending. Until recently, researchers had to coerce these data for standard network methods, risking loss of information and biased results. The relational hyperevent model (RHEM) solves this by modelling hyperevent data directly…
‘Joining the dots’ and addressing the challenges with Greater Manchester's modern slavery and human trafficking (MSHT) partnerships approach
Modern slavery and human trafficking (MSHT) continue to present complex challenges internationally and in the United Kingdom, especially when intersecting with migration systems, labour markets, criminal justice and welfare regimes. This article presents the first comprehensive review of MSHT partnerships in the city-region of Greater Manchester, which has aspects of devolved governance and a well-established culture of cross-sector collaboration…
Political science (13 works) · Computer Science (12 works) · Crime Patterns and Interventions (11 works) · Sociology (11 works) · Law (10 works) · Crime, Illicit Activities, and Governance (9 works) · Psychology (9 works) · Criminology (7 works) · Business (6 works) · Computer security (6 works)