Analiza omrežij tvítov o treh največjih slovenskih mestih med božično-novoletnimi prazniki

Ftičar, Jernej (author), Mrvar, Andrej (mentor)

Medsebojno povezovanje je v 21. stoletju lažje, kot je bilo kadarkoli prej. Poleg vedno bolj razvitih prometnih povezav in prometne infrastrukture je ključen kanal komunikacije ter povezovanja postal internet, prek katerega je dnevno povezanih vse več ljudi. Platforme, ki so v zadnjih dveh desetletjih omogočile masovno povezovanje ljudi, se imenujejo spletna družabna omrežja. Ta postajajo vse pomembnejše orodje za krojenje novih socialnih mrež, s tem pa se povečuje tudi potreba po njihovem proučevanju. Na tem področju sta še posebej pomembni postali statistična analiza in analiza socialnih omrežij. V diplomskem delu s pomočjo teh metod proučim tri omrežja s ključnimi besedami največjih slovenskih mest, ki jih pridobim na spletnem družabnem omrežju Twitter s pomočjo programov, ki omogočajo črpanje podatkov iz Twitterjevega programskega vmesnika. Za raziskovanje lastnosti treh izbranih omrežij uporabim osnovne metode za analizo socialnih omrežij, pri preverjanju hipotez pa si pomagam s statistično analizo.

• Language: Slovenian
• Keywords: socialna omrežja, družbeni mediji, spletna družabna omrežja, Twitter
• Work type: Bachelor thesis/paper
• Organization: FDV - Faculty of Social Sciences
• Year: 2019
• PID: 20.500.12556/RUL-110993
• COBISS.SI-ID: 36461405
• Publication date in RUL: 21.09.2019

Secondary language

• Language: English
• Title: Analysis of networks of tweets about the three largest Slovenian cities during the Christmas and New Year holidays

Abstract

Interconnectivity is easier in the 21st century than ever before. In addition to increasingly developed transport links and transport infrastructure, a key channel of communication and connectivity has become the internet, through which more and more people connect daily. The platforms that have made mass connectivity possible are called online social networks. These are becoming an increasingly important tools for tailoring new social networks, which increases the need for their study. Statistical analysis and social network analysis have become particularly important in this area. With these methods, I will study three social networks which contain keywords of three biggest Slovenian cities that I will extract through the social network Twitter, with the help of programs that allow extraction of data through Twitter’s Application Programming Interface. To explore the properties of the three selected networks, I will use basic methods for social network analysis, and I will use statistical analysis to test the hypotheses.

• Keywords: social networks, social media, online social networks, Twitter