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Webs of crime: Corruption in the perspective of social network analysis
Diviák, Tomáš ; Podaná, Zuzana (advisor) ; Buriánek, Jiří (referee)
In this thesis, I attempt to apply the network perspective to the study of corruption. First, I deal with current state of theory and research on corruption, which I find to be ignoring relations and interactions among offenders themselves. Then I review literature in the field of covert and criminal networks. The theoretical part of this thesis ends with brief descriptions of two major cases of political corruption in the Czech Republic - so called Nagy case and Rath case. In the methodological part, I introduce basic concepts of social network analysis as well as methods for positional analysis, especially the blockmodelling. In my research, I deal with exploratory analysis of both the aforementioned networks. Using proxy data, I analyse cohesion, centralization, centrality measures and cliques in these networks. Then I use conventional blockmodeling to search for roles and positions within these networks. My results suggest that both networks are dense and centralized with overlapping cliques contrary to other covert networks possibly accounting for their eventual disruption and failure. Positional analysis using varius methods such as CONCOR or different types of cluster analysis reveals a structure resembling the core-periphery model, which is supported by measuring coreness and finding a good...
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The global cities relationships from social network analysis perspective
Diviák, Tomáš ; Lupač, Petr (advisor) ; Šubrt, Jiří (referee)
This thesis is concerned with global cities as key actors in the process of globalization. Emphasis is put on network between these cities created by their mutual relations. In three parts constituting this thesis, there are at first presented relevant theoretic aspects of global cities and their networks: definitions and rankings of global cities and then Smiths' and Timberlake's typology of flows between global cities. In the methodological part, social network analysis is presented as a dynamicaly developing methodological tool as well as fruitful perspective for description of relations between global cities. In the last part, networks of social and political flows between cities included in the AT Kearney ranking are analyzed. Centrality measures and whole network characteristics are counted for both network and subgroups are identyfied. Based on the analysis it could be said that the most important and the most powerful cities are Tokyo, Paris and Washington, D. C. Powered by TCPDF (www.tcpdf.org)
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