prikaz prve stranice dokumenta Algoritmi za analizu poveznica u grafu web stranica
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undergraduate thesis
Algoritmi za analizu poveznica u grafu web stranica
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:500452
Matijaščić, Mihael
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Matijaščić, M. (2020). Algoritmi za analizu poveznica u grafu web stranica (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:500452

Matijaščić, Mihael. "Algoritmi za analizu poveznica u grafu web stranica." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:500452

Matijaščić, Mihael. "Algoritmi za analizu poveznica u grafu web stranica." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:500452

Matijaščić, M. (2020). 'Algoritmi za analizu poveznica u grafu web stranica', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 23 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:500452

Matijaščić M. Algoritmi za analizu poveznica u grafu web stranica [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 November 23] Available at: https://urn.nsk.hr/urn:nbn:hr:168:500452

M. Matijaščić, "Algoritmi za analizu poveznica u grafu web stranica", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:500452

Metadata
TitleAlgoritmi za analizu poveznica u grafu web stranica
Title (english)Algorithms for Analysis of Hyperlinks in Web Pages
AuthorMihael Matijaščić
MentorGoran Delač (mentor)
Committee memberGoran Delač (predsjednik povjerenstva)
Committee memberAdrian Satja Kurdija (član povjerenstva)
Committee memberPetar Afrić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom završnom radu opisuju se dva poznata algoritma, PageRank i algoritam hubova i identiteta koji vrše analizu poveznica u grafu Internet stranica, te na temelju dobivenih informacije rangiraju stranice po važnosti. U početku se opisuje teorijska pozadina algoritama, kako se obrađuju iznimne situacije nastale u samom grafu Internet stranica, i kako se izvodi proces računanja vrijednosti koje algoritmi pridjeljuju stranicama. Zatim se opisuje arhitektura programskog ostvarenja, koju ulogu imaju pojedini dijelove arhitekture, kako su ostvareni određeni programski dijelovi važni za dohvaćanje podataka i računanje vrijednosti tih podataka, koji su ulazni a koji izlazni podaci programskog ostvarenja te kako je dizajnirana grafička komponenta programskog ostvarenja. Na kraju se prikazuju i objašnjavaju statistički podaci dobivenih tijekom rangiranja određenih eksperimentalnih skupova Internet stranica.
Abstract (english)
In this paper, we have described two well-known algorithms, PageRank and the Hubs and Authority Algorithm, which analyzed the links on the graph of web sites, and the information obtained ranked the pages by importance. Initially, the theoretical background of the algorithm is described, how the exceptional situations that arise in the graph of the Internet page are processed, and how the process of calculating the values that the algorithms add to the pages is performed. Then, the architecture of the program is described, what is the role of individual parts of the architecture, how certain program parts are important for retrieving data and calculating the value of this data, which are input and output data of the program and how the graphic component of the program is designed. Finally, the statistics obtained during the ranking of certain experimental sets of Internet sites are presented and explained.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:500452
Study programmeTitle: 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 resourceText
File originBorn digital
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Created on2023-01-13 15:34:05