Časopriestorová analýza dát zo sociálnych sietí vo vzťahu k verejnej doprave

Abstract

Social networking sites are currently present in almost every activity that people do. Countless posts are published daily on various platforms. Immediate responses to events, dissemination of information or discussion of current topics or traffic reporting. The aim of the thesis is to compare the situation of using Twitter for localized traffic reporting for public transport in London, the Madrid metropolitan area and Prague. The thesis deals with the problems of locating posts from the social network Twitter. Furthermore, on the example of tweets related to traffic from the busiest stations in the cities of London and Prague, it evaluates the discussed topics, sentiment of the posts and evaluates their spatio-temporal patterns and compares them to the situation in the Madrid metropolitan area. The results show the similarities of the daily and weekly regime as well as the evaluated topics, but also specific deviations. Because of the number of users, the possibilities of using Twitter in Czech Republic have not yet reached such range as in other metropolises, nevertheless they have great potential for future use.