Pengujian teori christakis mengenai struktur jaringan sosial dan efek penularan di dalam jaringan sosial yang bersifat small world = The examination of christakis theory regarding social network and contagion effect in a social network which is a small world network

Saputra, Yordan (2016) Pengujian teori christakis mengenai struktur jaringan sosial dan efek penularan di dalam jaringan sosial yang bersifat small world = The examination of christakis theory regarding social network and contagion effect in a social network which is a small world network. Bachelor thesis, Universitas Pelita Harapan.

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Abstract

In 2007, Christakis claimed in his studies that obesity, smoking, and happiness spread in a social network and restricted by three degrees of separation. These claims triggered a lot of reaction and studies regarding this were published by many institutions. This thesis is going to try to find contagion effect which was claimed by Christakis in a social network. The methods used in this thesis are by distributing questionnaire randomly to students in XYZ University. Respondents then were given some questions about social opinion and were asked to recommend two of his/her friends that he/she thinks has more friends or acquaintances than him/herself. The social opinions in question were divided into four variables, which are religiosity (SR), tolerance scale to premarital sex (ST1), tolerance scale to homosexuality (ST2), and grit-scale (SGS). The results were then represented with charts, plots, and data visualization. After that, these data will then be processed and analyzed to find the contagion of opinion which is the main focus of this thesis. From 87 questionnaire which were returned by respondents, the existing data were divided into three iteration. Through verification, it was found that data from third iteration have the biggest potential to be a hotspot. This claim was supported by data that showed that a respondent have acquaintances which 40.0% to 54.5% of it was from the third iteration. Furthermore, 38.6% to 47.5% of it was from second iteration and 6.8% to 15.8% of it was from first iteration. Correlation between data from different iterations showed a weak correlation with jtBj ≤ 0;392 and stable pattern which is tB(23) < tB(13) < tB(12) for every variable. Adjacency matrix method also found the degree of data grouping, or clustering parameter (with boundaries of 0 and 1), which is 0.780 for SR; 0.951 and 0.927 for ST1 and ST2; and 0.805 for SGS.

Item Type: Thesis (Bachelor)
Creators:
CreatorsNIMEmail
Saputra, YordanUNSPECIFIEDUNSPECIFIED
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorYugopuspito, PujiantoUNSPECIFIEDUNSPECIFIED
Thesis advisorSaputra, Kie Van IvankyUNSPECIFIEDUNSPECIFIED
Additional Information: SK 82-12 SAP p
Uncontrolled Keywords: social network; contagion effect; hotspot; Kendall tau coefficient; Christakis and Fowler
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: University Subject > Current > Faculty/School - UPH Karawaci > School of Information Science and Technology > Informatics
Current > Faculty/School - UPH Karawaci > School of Information Science and Technology > Informatics
Depositing User: Mr Samuel Noya
Date Deposited: 04 Oct 2018 07:30
Last Modified: 03 Aug 2021 08:20
URI: http://repository.uph.edu/id/eprint/1170

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