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Structure of motivational factors for vaccination against COVID-19
Šiková, Hana ; Diviák, Tomáš (advisor) ; Mazák, Jaromír (referee)
Structure of motivational factors for vaccination against COVID-19: abstract Bc. et Bc. Hana Šiková This thesis studies the structure of motives for receiving the vaccine against the novel coronavirus disease, COVID-19, which caused a pandemic beginning in 2020. A survey was conducted on a representative sample of the Czech population available online aged 18-64. Networks were con- structed using partial correlations. On these networks, centralities of motives (represented by nodes) were measured (strength, betweenness, closeness, and Expected Influence). It found that groups based on socio-demographic char- acteristics did not differ from each other, while groups defined by their time of registration for the vaccine did differ significantly. Four groups of motives were identified with factor analysis: vaccine benefits, outside forces, medi- cal assessment, and accessibility. In the networks, however, there was little tendency for clustering, suggesting well connected belief systems. Generally, a central motive was the belief that vaccination is generally a right thing to do, combined with a recommendation from a medical authority. The vacci- nation decision of people around had no influence in the system of motives. Results of this and similar studies can be used for effective targeting of future vaccine...
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Diffusion of innovations in small networks
Šiková, Hana ; Diviák, Tomáš (advisor) ; Lupač, Petr (referee)
in English Hana Šiková This thesis concentrates on the diffusion of innovations in small networks. It studies the process and success rates of diffusions started with different initial conditions. Computer simulations are used to obtain data. Fourteen real-life networks are used and six scenarios are studied. The seeds, i.e. nodes that start a diffusion, are chosen as the most central nodes (measured by degree, betweenness, closeness, and eigenvector centrality), the most marginal nodes, or random nodes. Simulations of these scenarios are conducted with seeds rep- resenting different percentages of the total nodes. Results are compared with network metrics. Centralization and density are chosen to describe networks. Individual case analyses are also presented. No significant correlation is found between the diffusion success and network characteristics. Diffusion success seems to be determined by the position of seeds and the network structure. The findings highlight the specificities of a "core-periphery" structure, in which central nodes have a strategic advantage in the sense of starting a diffusion of an innovation. The findings contribute to the understanding of which network characteristics contribute to the success of a diffusion. Klı́čová slova diffusion of innovations, social network...
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