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Social Network Analysis and Simulations
Vorlová, Pavla ; Král, Jiří (referee) ; Samek, Jan (advisor)
This diploma thesis is focusing on description of processing social network analysis, design and implementation of a model that simulates a particular social network and its analysis. Social networks are modern and very used in this time. They are very good point for exploring. This project deal with static analysis social network, where social network is constructed by graph. We nd out di erent properties of single component and than we establish signi cance of them. Relationships between components are important too for us, because they have a big influence on propagation information in network. Structural properties figure out existence of di fferent communities. We simulate social network with multi-agent systems, they are desirable for represent changes in network. Multi-agent systems have implemented a simulation model that represents a particular social network. His behaviour was analyzed and examinated by chosen methods.
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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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Multiple-Context Trust Model for a Social Network Using Personality Analysis
Švec, Tomáš ; Zbořil, František (referee) ; Samek, Jan (advisor)
Tato diplomová práce navazuje na bakalářskou práci, ve které byl vytvořen model důvěry pro sociální síť Facebook. Do tohoto modelu jsou zapracovány připomínky z konference UMAP 2013 a ověřena jeho škálovatelnost a flexibilita. V další části práce jsou uvedeny základní termíny z psychologie osobnosti a zkoumána závislost důvěry na osobnosti uživatele. Je vybrán model Big Five k reprezentaci charakteru uživatele a navržen dotazník, u nějž bude zkoumána korelace s modelem důvěry. Tato korelace je na základě sociologických poznatků odhadnuta a později ověřena na reálných uživatelích sociální sítě Facebook.
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Evaluation of Trust or Reputation Based on Social Network Analysis
Švec, Tomáš ; Malačka, Ondřej (referee) ; Samek, Jan (advisor)
This thesis' goal is to apply the terms trust and reputation from the point of view of artificial intelligence to social network analysis methods. It evaluates current available interactions for a model of trust considering various social networks. A mathematical model of trust for Facebook is designed and described in further parts. This model had been implemented in Python programming language. Experiments regarding this thesis are conducted on a sample amount of Facebook users and furthermore analyzed from the perspective of both artificial intelligence and social psychology.
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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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Misinformation & Pegasus Project: Case study of India
Khurana, Aditya ; Střítecký, Vít (advisor) ; Schottli, Jivanta (referee)
This thesis analyses the mainstream media's reporting around Pegasus spyware in India and the subsequent formation of revisionist networks showing solidarity with news circulated by mainstream media on social media. This research on news media coverage of misinformation spread around Project Pegasus in India classifies and clusters misinformation supplied by the mainstream media through their reporting. Next, the thesis explores the emergence of revisionist social media networks from such coverage as a response to the call to action in the mass media. The case study method allows the author to offer focused insights into the misinformed mass media's coverage of the issue. K means clustering is used to identify different narratives in the news report dataset, followed by text mining using Voyant Tools to summarise the narratives. Social Media Analysis is done to identify and bring forth the revisionist hashtags deployed by the mainstream media to further their narrative. The findings of the project highlight that considerable parts of the population are aware of notable misinformation around Pegasus spyware. However, this understanding did not translate into the call for action by the media houses across social media (Twitter). The weak correlation between Indian media reports and social media...
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Evolution of information warfare expert environment in Czechia
Čičmanec, Martin ; Střítecký, Vít (advisor) ; Ludvík, Jan (referee)
As the tensions between Russia and the West had grown, so had the intensity of hybrid warfare operations, such as Russian disinformation campaigns. These campaigns have contributed to the current polarization of societies not only in the USA, but also in many EU countries and have prompted Western societies to seek appropriate ways to defend themselves against information warfare. Over the last decade, a colourful community of experts developed, empowered to identify specific threats and propose solutions. This study explores how the growing securitization of disinformation affects the development of security expertise in Czechia. Sociological methods, social network analysis, and social capital were applied to uncover and analyze a network of security experts focused on information warfare. SNA allowed mapping both networks of crucial organizers and experts, their social relations, and professional backgrounds. The analyses showed ongoing dynamic development of the network characterized by growing complexity and fragmentation. However, the network is united in its stance on opposing pro-Russian influences. As the network developed, new topics and experts with professional backgrounds emerged. Nevertheless, think tanks remain recognized as both key experts and organizers, drawing their expertise...
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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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