Analiza i vizualizacija podataka s društvenih medija o velikim sportskim događajima

undergraduate thesis

• Title (english): Analysis and Visualization of Social Media Data about Large-scale Sporting Events
• Author: Tomislav Žulj
• Mentor: Vedran Podobnik (mentor)
• Committee member: Vedran Podobnik (predsjednik povjerenstva)
• Committee member: Dario Pevec (član povjerenstva)
• Committee member: Darko Štriga (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2017-07-10, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Nastankom društvenih mreža, broj korisnika je bio manji u odnosu na današnje razdoblje. Tijekom vremena društvene mreže su se razvijale, a danas su društvene mreže postale jedan od glavnih faktora komunikacije u svijetu. Porastom broja korisnika, samim time i podataka, bilo je potrebno provoditi analizu podataka da bi se mogli efektivnije koristiti te je radi toga je razvijena analiza društvenih mreža (Social Big Data). Jedna od njih je deskriptivna analiza velikih sportskih događaja, europskog prvenstva (EURO 2016) u Francuskoj te Olimpijskih igara (Rio 2016) u Brazilu koji su preko društvenih medija zasnovanih na internetskoj infrastrukturi izgenerirali ogromnu količinu podataka. Tema ovog rada je bila analizirati i vizualizirati podatke s društvenih mreža Facebook, Twitter i YouTube te pomoću programskih tehnologija i alata (programski jezik R, razvojna okolina RStudio, alat Microsoft Excel) pokazati kako su navedeni veliki sportski događaji utjecali na društvene mreže, te samim time, i na društvenu zajednicu. Iz proučavanih podataka pokazalo se da su Portugal, Italija i Francuska bile najaktivnije reprezentacija za vrijeme Eura, te je pokazano da je rast pozitivnih reakcija obožavatelja pobjedničke reprezentacije rezultirao rastu negativnih reakcija gubitničke, tj. pobjednici su slavili, a gubitnici nisu.

Abstract (english)

With the emergence of social networks, the number of users was smaller compared to today's. Over time, social networks have evolved, and today social networks have become one of the major communication factors in the world. By increasing the number of users, and thus data, data analysis was needed to be more effective, and Social Big Data was developed for this purpose. One of them is a descriptive analysis of major sports events, the European Championship (EURO 2016) in France and the Olympic Games (Rio 2016) in Brazil, which generated massive amounts of data through social media networks based on Internet infrastructure. The subject of this work was to analyze and visualize data from social networks such as Facebook, Twitter and YouTube and using program technologies and tools (program language R, development environment RStudio, Microsoft Excel tool) to show that the major sports events affected the social networks and also our community. From the study data, Portugal, Italy and France were the most active teams during the Euro, and showed that the growth of positive reaction of fans of the winning team resulted in the growth of negative reactions of the loser, ie, the winners celebrated and the losers did not.

• Keywords: EURO 2016; Rio 2016; Big Data; društvene mreže; programski jezik R
• Keywords (english): EURO 2016; Rio 2016; Big Data; social networks; programming language R
• Language: croatian
• URN:NBN: urn:nbn:hr:168:758428
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-14 02:28:11