Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZhang, Shiboen_US
dc.identifier.citationZhang, S. (2021). Opinion formation in growing social systems. Master's thesis, Nanyang Technological University, Singapore.
dc.description.abstractMany complex systems in social sciences can be described by complex networks. Different from regular networks and random networks, real complex networks have scale-free characteristics. Some well-known network growth models and some opinion evolution models only consider the following cases on social networks: the opinion evolution has no influence on the network growth. But in the real world, opinion formation may play an important role in system growth, while people may tend to be connected to similar opinion holders and be well accepted by similar opinion holders. Motivated by such observations, we focused on the interaction between the topology of complex networks and the opinion evolution in this paper. Our main objective is to study how the topology changes when opinion plays a role in network growth, and then to analyze whether the power law is truly universal. First of all, we analyzed the case that the evolution of opinions takes place after the network grows, and then we focused on the simultaneous occurrence of network growth and opinion evolution, and verified our conclusion by changing three different conditions. We found that when the evolution of opinion has no effect on the growth of the system, the network topology is consistent with the original BA scale-free network topology at the end of iteration. While the evolution of opinion plays an important role in the growth of the system, due to the interaction between the evolution of opinions and the network topology, the network seems to conform more to a lognormal distribution than to the original power law distribution.en_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleOpinion formation in growing social systemsen_US
dc.typeThesis-Master by Courseworken_US
dc.contributor.supervisorXIAO Gaoxien_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Signal Processing)en_US
item.fulltextWith Fulltext-
Appears in Collections:EEE Theses
Files in This Item:
File Description SizeFormat 
Final Dissertation_(G2002044L )ZHANG SHIBO-.pdf
  Restricted Access
3.48 MBAdobe PDFView/Open

Page view(s)

Updated on Mar 28, 2023


Updated on Mar 28, 2023

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.