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User Impact in Social Networks
Jirout, Petr ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This thesis describes the design and implementation of a system for social media analysis. This system provides a way of identifying social media user's influence. The system has been open sourced under the MIT license and is designed to be easily extensible. Example usage of this system is demonstrated for a chosen use case of analysing several selected Czech individuals and political parties which are active on the Facebook social network. The thesis compared their influence and activity. A new way of activity and influence prediction has been proposed, based on the identification of dedicated users.
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The First World Social Media War: Impacts of Social Media Networks on the Russo-Ukrainian War
Ženíšek, Jan ; Střítecký, Vít (advisor) ; Špelda, Petr (referee)
This thesis aims to investigate the possible implication of social media networks to warfare. Chiefly in terms of the application of social media networks as a supplementary instrument in the scope of conventional warfare. The research is based on the development of the first year of the Russian invasion of Ukraine. The main data source for the analysis is information about Authors and their Tweets from the social media network Twitter. For the purpose of the research, a custom data collection algorithm was developed to obtain a sample of more than two million Tweets that were published in connection with the Russo-Ukrainian war or Tweets that further interacted with such content. The gathered data from Twitter are analyzed in the context of two additional open-source datasets containing information about the individual attacks by both belligerents and the volume of international donations to Ukraine using volumetric analysis. Additionally, Twitter-related data are processed using social media analysis to determine the key individuals and groups in the social network via measuring betweenness centrality and modularity optimization. The thesis concludes that social media networks have the potential to impact a broad audience and mobilize international support. Further, the research discovered evidence that...
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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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Classification of rural municipalities by developmental potential
Skála, Vít ; Potůček, Martin (advisor) ; Majerová, Věra (referee) ; Kupčák, Václav (referee)
The issue of rural areas in the Czech Republic concerns about 5,800 municipalities, what is 93 % of all municipalities in the CR. These municipalities cover more than three-quarters of the CR territory where live over 3 million inhabitants, more than one third of the total population of the CR. Although there is consensus that the countryside faces a lot of problems which affect the lives of many people on a large territory, the adequate attention to this topic is still not given by official authorities. This confirms the facts that the CR has not adopted a clear definition of rural areas yet and the rural policy is not a priority of programs of political parties. But the urgency of solving problems in recent years stepped up. Quantity of scientific teams that focus on countryside problems increased. They are defined different typologies of rural areas, are seeking methods for dissolve disparities among different areas, there are efforts to measure the development potential of municipalities. This work is in accordance with these initiatives and by mixed research methods defines Development Potential Index (DPI). The DPI consists from 101 individual indicators. Verification of created index was done on data of 18 small villages located in three different regions of the Czech Republic, for which...
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Legislative cosponsorship network of Chamber of Deputies, Czech Parliament
Klinger, Michael ; Brabec, Dušan (advisor) ; Hájek, Lukáš (referee)
The bachelor thesis Legislative "cosponsorship" network of the Chamber of Deputies of the Parliament of the Czech Republic (the PSP CR) for the period 2017-2020 describes and analyses relations between members of the PSP CR in the certain period using data the submission of bills. The basic starting point for the theoretical part of the work is the creation of legislative networks. The thesis first the very essence of the use of legislative networks in the field of political science and provides the illustrative studies that have in the past dealt with the research of relations between legislators through legislative networks. Further in this part, the term "cosponsorship" is defined so that it can be explained in the context of the Czech legislative process. Subsequently, the methodological basis of the research, which is the method of Social Network Analysis (SNA), is presented. The thesis describes the substance and the principle of its operation together with some of its network statistics which are then applied to answer the research questions. The main part of the work then focuses on the creation of a legislative network by applying the SNA method and its visualization through the computer programme Gephi. Afterwards, the created network is analysed on the three levels by the method SNA....
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Analysis of the network of information war experts in the Czech Republic
Kohút, Martin ; Střítecký, Vít (advisor) ; Beneš, Jan (referee)
The rise of 'information disorder' that undermine Western political principles has become one of the key political concerns in current Europe and United States and led to searching for new solutions how to fight the spread of mis- and dis-information. While the nature of this danger is still subject to much debate, we can already observe a rise of new experts explaining the threat of information war and how to deal with it. This research looks at how this novel problematization of security affects the politics of security expertise. Or, who gains power in this 'battle for truth'? Building on sociological approaches in security studies, this thesis focuses on the Czech Republic as a country that has become very active in the fight against disinformation and analyses the network of actors recognized as providing security expertise on information warfare. Based on social network analysis, the research maps the structure of social relations among actors recognized as experts and points out the empowerment of think-tanks and journalists, who build their expertise by bringing together their social capital, bridging knowledge of Russian politics and the new media environment, and introducing new practices to make the society resilient towards information warfare.
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Business of tourism services and possibilities of cooperation
KVĚTOŇOVÁ, Dominika
This thesis deals with a company named Angusfarm, which is situated in Soběsuky. The organization focuses mostly on providing services including accommodation, catering and introduces their main interest. It clarifies their cooperation and evolution, history and basic concepts of sociometry. Moreover, a major part of the thesis provides detailed information about stakeholders and the way they interact with the firm including analysis of the weaknesses and barriers that occur during cooperation with stakeholders. The research is based on Social Network Analysis. The Social network is a system of actors individual interlinks through their relations. The goal of this thesis is to analyze the current situation of cooperation with suppliers and to reveal which stakeholdes are the most important and how large is the connection between stakeholders and Angusfarm.
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User Impact in Social Networks
Jirout, Petr ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This thesis describes the design and implementation of a system for social media analysis. This system provides a way of identifying social media user's influence. The system has been open sourced under the MIT license and is designed to be easily extensible. Example usage of this system is demonstrated for a chosen use case of analysing several selected Czech individuals and political parties which are active on the Facebook social network. The thesis compared their influence and activity. A new way of activity and influence prediction has been proposed, based on the identification of dedicated users.
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Social Media Networks in Human Resources Management (Model Supporting a Recruitment of Employees)
Böhmová, Lucie ; Střížová, Vlasta (advisor) ; Basl, Josef (referee) ; Horváthová, Petra (referee)
The main goal and contribution of this thesis are to create an artifact in the form of model that supports a recruitment of employees via social media networks and its implementation into practice. For this purpose has been used a depth analysis of current state of researched problematics leading to finding gaps that could be eventually solved while using mentioned model. The Author takes advantage of knowledge obtained from literature research and also from self-created research, particularly the analysis of content type investigated social media networks and specific data obtained manually and automatically; Comparative analysis of job advertisements; periodic questionnaire survey amongst HR staff. A significant part of the research has also been an investigation of already existing frames of social media networks recruitment. A depth analysis of current state determines that there is existence only of few models dealing with social media networks recruiting. Furthermore, these models lack candidate evaluation based on the social media networks behavior. Artifact as a model that supports a recruitment of employees via social media networks contains a suggestion of an automatic solution dealing with user´s data downloading and also a suggestion of subsequent analytical data processing and the creation of a predictive model for assessing the user´s behavior on the social media networks. Final evaluation of the effectiveness of the proposed model is done through the formal verification process and the case study. The case study verification has the suggested artifact been implemented in practice with a name Model PM that is using a recruiting application (Práce na míru) for an extraction of Facebook´s data. For user´s behavior predictor setting has been used a character test (MBTI). With the help of the cluster analysis and machine learning (Decision trees) has been created Stochastic predictive model that determines a character type of particular candidate (The accuracy of the prediction of the MBTI personality category is in the range between 68 % to 84 % in individual cases with confidence value between 43 % and 81 %). The case study verified a usefulness of model that supports a recruitment of employees via social media networks, and afterward, the mode has been implemented into the practice.
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Analysis of Czech football from the content of social networks
Zálepa, Martin ; Jelínek, Ivan (advisor) ; Oškera, Radek (referee)
The main aim of this report is to analyse the Czech football scene using the unstructured data from ever evolving social media platform Facebook. The objectives are to identify key concepts using the Czech football social community, dis-covering the most popular club, understanding the buzz and reactions on independent sport portals and identifying the relation between social sentiment and the actual football club performance. These objectives are met using defined methods including collection, analysis and evaluation of the data, applying the key data metrics and relevant literature research, as well as graphical visualisation of the results. This report consists of five chapters split into theoretical and practical part. The first three chapters, the theoretical part, are focusing on the explanation of the social media in general, using the literature research and online analytical tools, and introduction of the Czech foot-ball scene from both commercial and marketing standpoint. The last chapter describes the methods applied and outlines the data architecture used for the analysis. The practical part includes a definition of the key metrics that are initially defined as business assumptions and consequently applied and transformed into the basis of this analysis. The last chapter of the practical part forms the actual data analysis and its evaluation as well as visualisation of the partial results. The main purpose of this report is to demonstrate the benefits of analysing unstructured data from social media platforms that can be connected and downloaded using the tools such as Elasticsearch and Kibana, that enable to discover, filter and visualise the data. Gaining an insight into social media and visualisation of the data is also beneficial to spon-sors and football clubs as it can maximise the power of their marketing as well as enable them to understand the reputation and consumer perception.
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