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master's thesis
Utjecaj susjeda na vlastito mišljenje
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:699442
Bestvina, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Bestvina, I. (2017). Utjecaj susjeda na vlastito mišljenje (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:699442

Bestvina, Ivan. "Utjecaj susjeda na vlastito mišljenje." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:699442

Bestvina, Ivan. "Utjecaj susjeda na vlastito mišljenje." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:699442

Bestvina, I. (2017). 'Utjecaj susjeda na vlastito mišljenje', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 02 September 2024, https://urn.nsk.hr/urn:nbn:hr:168:699442

Bestvina I. Utjecaj susjeda na vlastito mišljenje [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 September 02] Available at: https://urn.nsk.hr/urn:nbn:hr:168:699442

I. Bestvina, "Utjecaj susjeda na vlastito mišljenje", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:699442

Metadata
TitleUtjecaj susjeda na vlastito mišljenje
Title (english)Influence of Neighbours on One's Own opinion
AuthorIvan Bestvina
MentorMile Šikić (mentor)
Committee memberMile Šikić (predsjednik povjerenstva)
Committee memberZvonko Kostanjčar (član povjerenstva)
Committee memberKrešimir Križanović (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
Predviđanje rezultata izbora koristeći informacije o susjedstvu društvene mreže je problem iz teorije kompleksnih mreža koji uključuje napredne tehnike modeliranja i analize kompleksnih mreža. Pod pretpostavkom da društvena mreža pokazuje visok stupanj homofilije, što kod izbora s dvije izborne opcije dovodi do polarizacije i podjele mreže u dva velika klastera, preveli smo ovaj problem u domenu određivanja veličine klastera. Prvi dio rada analizira vezu između susjedstva društvene mreže i opcije za koju centralni čvor glasuje. Sljedeći dio pokazuje kako se ova opcija može izravno i uspješno predvidjeti iz informacija o društvenom susjedstvu. Naposljetku, pokazali smo kako se, modelirajući društvene mreže s proširenim stohastičkim Kroneckerovim grafovima te koristeći Them vs. us estimator, udio glasova u mreži može uspješno odrediti, čak i kada je uzorak iznimno nereprezentativan.
Abstract (english)
Election results prediction using the social network neighbourhood information is a complex network theory problem which includes advanced complex network modelling and complex network analysis techniques. Presuming that social networks display a high degree of homophily, which in binary elections leads to polarization and a split into two giant clusters, we translated this problem into a domain of cluster size inference, for these two clusters. First, we have analysed how the social neighbourhood is related to a person's voting preference. Next, we have shown that the prediction of this preference can be done from the neighbourhood information in a straightforward manner. Finally, we have shown how, by modelling social networks with the expanded stochastic Kronecker graph model and using our novel Them vs. us estimator, network's vote share can successfully be estimated, even from a small and highly biased node sample.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:699442
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 on2019-03-13 19:03:09