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master's thesis
Analiza grafa društvene mreže primjenom tehnika strojnog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:185388
Despot, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Despot, I. (2021). Analiza grafa društvene mreže primjenom tehnika strojnog učenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:185388

Despot, Ivan. "Analiza grafa društvene mreže primjenom tehnika strojnog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:185388

Despot, Ivan. "Analiza grafa društvene mreže primjenom tehnika strojnog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:185388

Despot, I. (2021). 'Analiza grafa društvene mreže primjenom tehnika strojnog učenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:185388

Despot I. Analiza grafa društvene mreže primjenom tehnika strojnog učenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:168:185388

I. Despot, "Analiza grafa društvene mreže primjenom tehnika strojnog učenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:185388

Metadata
TitleAnaliza grafa društvene mreže primjenom tehnika strojnog učenja
Title (english)Social Network Graph Analysis Using Machine Learning Techniques
AuthorIvan Despot
MentorGoran Delač (mentor)
Committee memberGoran Delač (predsjednik povjerenstva)
Committee memberMarin Šilić (član povjerenstva)
Committee memberKlemo Vladimir (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad sadrži kratak pregled područja analize društvenih mreža te znanosti o mrežama (engl. network science). Poseban naglasak stavljen je na tzv. algoritme ugrađivanja (engl. embedding algorithms) te njihovu primjenu kod standardnih tehnika analize mreža. Aplikacija, u programskom jeziku Python, implementirana je i dokumentirana za potrebe evaluacije algoritama ugrađivanja nad grafovima kao što su node2vec te DeepWalk. Evaluacija je izvedena pomoću zadataka klasifikacije čvorova (engl. node classification), predviđanja veza (engl. link predication) te grupiranja čvorova (engl. node clustering) za potrebe detekcije zajednica. Evaluacija je provedena nad javno dostupnim podacima u obliku grafova društvenih mreža te se može reproducirati nad drugim skupovima podataka u svrhe određivanja optimalnog algoritma ugrađivanja te parametara za specifične slučajeve.
Abstract (english)
This thesis provides a brief introduction to the field of social network analysis as well as network science in general. A special focus was given to embedding algorithms and their application in standard network analysis techniques. A Python application has been implemented and documented for the purpose of evaluating the graph embedding techniques node2vec and DeepWalk on machine learning tasks such as node classification and link prediction as well as community detection (node clustering). The evaluation was undertaken on publicly available social network graphs and can be reproduced on other datasets to determine the best algorithm implementations and parameters on a case-to-case basis.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:185388
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-13 09:55:04