prikaz prve stranice dokumenta Analiza društvenih mreža primjenom knjižnice Snap.py
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undergraduate thesis
Analiza društvenih mreža primjenom knjižnice Snap.py
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:610827
Tubić, Lucija
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Tubić, L. (2017). Analiza društvenih mreža primjenom knjižnice Snap.py (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:610827

Tubić, Lucija. "Analiza društvenih mreža primjenom knjižnice Snap.py." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:610827

Tubić, Lucija. "Analiza društvenih mreža primjenom knjižnice Snap.py." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:610827

Tubić, L. (2017). 'Analiza društvenih mreža primjenom knjižnice Snap.py', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 01 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:610827

Tubić L. Analiza društvenih mreža primjenom knjižnice Snap.py [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 July 01] Available at: https://urn.nsk.hr/urn:nbn:hr:168:610827

L. Tubić, "Analiza društvenih mreža primjenom knjižnice Snap.py", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:610827

Metadata
TitleAnaliza društvenih mreža primjenom knjižnice Snap.py
Title (english)Social Network Analysis Using Snap.py Library
AuthorLucija Tubić
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 country2017-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Objašnjeno je što je društvena mreža i što predstavljaju vrhovi i bridovi društvene mreže. Objašnjene su važnosti otkrivanja analize društvenih mreža i otkrivanja zajednica. Opisana su dva algoritma za otkrivanje zajednica, Girvan-Neman i CNM algoritam. Opisani su koraci navedenih algoritama, primjeri njihovih rezultata te je dana usporedba modularnosti, provodljivosti i unutarnjoj gustoći. Opisane su i small-world mreže, njihova svojstva te Watts-Strogatz model za njihovo stvaranje.
Abstract (english)
In this paper I explain social networks and what their nodes and vertices represent. I write about the importance of social network analysis and detecting communities. Two alghoritms are presented for detecting communities, Girvan-Newman alghoritm and CNM alghoritm. Their steps are explaind and they are compared by modularity, internal densitiy and conductance. I also describe small-world networks, their properties and Watts-Strogatz model.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:610827
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 on2019-03-14 01:42:20