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master's thesis
Uzorkovanje na kompleksnim mrežama metodom snježne grude
Zagreb: University of Zagreb, Faculty of Science, 2019. urn:nbn:hr:217:794593
Batur, Josip
University of Zagreb
Faculty of Science
Department of Physics

Institutional repository: Repository of the Faculty of Science

Cite this document

Batur, J. (2019). Uzorkovanje na kompleksnim mrežama metodom snježne grude (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:794593

Batur, Josip. "Uzorkovanje na kompleksnim mrežama metodom snježne grude." Master's thesis, University of Zagreb, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:217:794593

Batur, Josip. "Uzorkovanje na kompleksnim mrežama metodom snježne grude." Master's thesis, University of Zagreb, Faculty of Science, 2019. https://urn.nsk.hr/urn:nbn:hr:217:794593

Batur, J. (2019). 'Uzorkovanje na kompleksnim mrežama metodom snježne grude', Master's thesis, University of Zagreb, Faculty of Science, accessed 17 May 2024, https://urn.nsk.hr/urn:nbn:hr:217:794593

Batur J. Uzorkovanje na kompleksnim mrežama metodom snježne grude [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2019 [cited 2024 May 17] Available at: https://urn.nsk.hr/urn:nbn:hr:217:794593

J. Batur, "Uzorkovanje na kompleksnim mrežama metodom snježne grude", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:217:794593

Metadata
TitleUzorkovanje na kompleksnim mrežama metodom snježne grude
Title (english)Snowball sampling method on complex networks
AuthorJosip Batur
MentorHrvoje Štefančić (mentor)
MentorDavor Horvatić (mentor)
Committee memberDavor Horvatić (predsjednik povjerenstva)
Committee memberHrvoje Štefančić (član povjerenstva)
Committee memberNikola Poljak (član povjerenstva)
Committee memberMatko Milin (član povjerenstva)
Committee memberDanko Radić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Physics)
Zagreb
Defense date and country2019-09-30, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Physics
Abstract
Veliki broj vrlo raznorodnih kompleksnih sustava koje proučavanju fizika, kemija, biologija, sociologija, ekonomija, računalne i druge znanosti mogu se prikazati kao kompleksne mreže. Istraživanje strukture i dinamike kompleksnih mreža, kao i dinamike procesa koji se odvijaju na kompleksnim mrežama predstavlja jedno od najpropulzivnijih interdisciplinarnih područja moderne znanosti. U mnogim situacijama je od važnosti uzorkovanjem istraživati populaciju za koju su odnosi medu jedinkama predstavljeni kompleksnom mrežom. Cilj teme diplomskog rada je istražiti svojstva postupka uzorkovanja metodom snježne grude na kompleksnim mrežama te ispitati da li se i pod kojim uvjetima metoda snježne grude može približiti po svojim svojstvima slučajnom uzorkovanju na kompleksnim mrežama. Naime, metoda snježne grude se standardno klasificira kao neprobabilistička metoda uzorkovanja kod koje iz uzorka nije moguće pouzdano zaključivanje o populaciji. S druge strane, uzorkovanje metodom snježne grude je često jedini realistični pristup uzorkovanju ukoliko je ciljanoj populaciji onemogućen ili otezan pristup, pa tako i probabilističke metode uzorkovanja poput slučajnog uzorkovanja. Specifični cilj diplomskog rada je kvantifikacija razlike slučajnog uzorkovanja i uzorkovanja metodom snježne grude na kompleksnim mrežama. Istraživanje će se provoditi simulacijama uzorkovanja na računalno generiranim kompleksnim mrežama.
Abstract (english)
A large number of various complex systems in physics, chemistry, biology, sociology, economics, computer and other sciences can be represented as complex networks. Studies of structure and dynamics of complex networks, as well as dynamics of processes that take place on complex networks represent one of the most propulsive interdisciplinary areas of modern science. In complex systems, where relations and interactions between its constituent units are represented by complex network, there are many situations when sampling of population is of great importance. The goal of this theses is to examine properties of snowball sampling on complex networks and to find out under which conditions (if any) can snowball sampling assessments get close to random sampling on complex networks. Particularly, snowball sampling method is classified as non-probabilistic, meaning it is not possible to reliably conclude about some property distribution in population through snowball sample. On the other hand, snowball sampling is often the only realistic sampling method, particularly when there is limited or no approach to the population of interest. Specific task of this thesis is quantification of difference between random sampling and snowball sampling on complex networks. Research will be conducted by simulations of sampling on computer generated complex networks.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:794593
Study programmeTitle: Physics; specializations in: Research
Course: Research
Study programme type: university
Study level: integrated undergraduate and graduate
Academic / professional title: magistar/magistra fizike (magistar/magistra fizike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-01-08 09:17:03