Analiza omrežja vozlišč spletne strani Imgur

diplomsko delo

Tim Kokošinek (Author), Andrej Mrvar (Mentor)

Abstract

Internet je neverjetno orodje, ki z vsakim dnem vzdržuje nove trende in tehnološki napredek. Tu se zdi, da so ena izmed največjih dosežkov interneta nedvomno spletna mesta za družabna omrežja, ki so pravi blagoslov za današnjo generacijo. Že samo ime pove, da so to mesta, ki združujejo različne skupnosti posameznikov. Gre za platforme za vzpostavljanje in ohranjanje povezav z drugimi osebami, kadar koli si to zaželimo. Nedvomno se spletna mesta, kot so Twitter, Facebook in Imgur, izkažejo za koristna na vseh področjih življenja, naj gre za študenta, otroka ali upokojenca. Osrednja tema obravnave je analiza omrežja vozlišč, zajetih iz spletne strani Imgur. Z uporabo programa Pajek, ki se uporablja za analizo socialnih omrežij, bom analiziral omrežje vozlišč, z namenom odkrivanja in izpostavljanja najbolj popularnih vsebin na spletni strani Imgur. V analizi se bom osredotočil na več vrst podatkov o omrežju, kot so identifikacija najpomembnejših enot v omrežju, najgosteje povezanih skupin vozlišč in mer središčnosti.

Keywords

Imgur;vozlišča;analiza socialnih omrežij;Pajek;analiza vozlišč;Diplomska dela;

Data

Language:	Slovenian
Year of publishing:	2021
Typology:	2.11 - Undergraduate Thesis
Organization:	UL FDV - Faculty of Social Sciences
Publisher:	[T. Kokošinek]
UDC:	316.472.4:004(043.2)
COBISS:	79955203
Views:	1248
Downloads:	462
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Imgur tag network analysis
Secondary abstract:	The Internet is an amazing tool that maintains new trends and technological advances each day. And here it seems that one of the greatest achievements of the Internet are undoubtedly social networking sites, which are a real blessing for todayʼs generation. The name itself suggests that these are places that bring together different communities of individuals. They are platforms used to establish and maintain a connection with other people whenever we desire to do so. Social sites like Twitter, Facebook and Imgur undoubtedly benefit all areas of life, be it for students, children or retirees. The central theme focuses on an analysis of a network of tags taken from the Imgur website. Using a program called Pajek, which is used to analyze social networks, I will analyze the network of tags in order to discover the most popular content on the Imgur website. In the analysis I will focus on several types of network data, such as the identification of the most important units in the network, the most densely connected groups of tags and measures of centralization.
Secondary keywords:	Imgur;tags;social network analysis;Pajek;analysis of tags;Družbena omrežja (internet);Online social networks;Analiza omrežij (družbene vede);Network analysis (Social sciences);Pajek (računalniški program);Pajek (Computer program);Graduate theses;
Type (COBISS):	Bachelor thesis/paper
Study programme:	0
Embargo end date (OpenAIRE):	1970-01-01
Thesis comment:	Univ. v Ljubljani, Fak. za družbene vede
Pages:	69 str.
ID:	13352797