Opinion formation in growing social systems
We studied the opinion formation in growing networks and observed the correlation between network growth and opinion formation. Numerical simulations are adopted as the main approach for this study. Specifically, We adopted the Deffuant model as the basic opinion formation and the growth and prefere...
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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2019
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| Online Access: | http://hdl.handle.net/10356/78847 |
| _version_ | 1811677312489357312 |
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| author | You, Jingbo |
| author2 | Xiao Gaoxi |
| author_facet | Xiao Gaoxi You, Jingbo |
| author_sort | You, Jingbo |
| collection | NTU |
| description | We studied the opinion formation in growing networks and observed the correlation between network growth and opinion formation. Numerical simulations are adopted as the main approach for this study. Specifically, We adopted the Deffuant model as the basic opinion formation and the growth and preferential attachment as the main schemes driving the network growth, while subject to opinion formation constraints. By comparing the generated networks against those generated by classic models, e.g., the Baraba ́si-Albert model with growth and preferential attachment but without any opinion formation or constraints, we reveal some interesting insights into how different opinions and their evolution may affect the growth and dynamics of social networks. |
| first_indexed | 2024-10-01T02:35:22Z |
| format | Thesis |
| id | ntu-10356/78847 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:35:22Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/788472023-07-04T16:07:55Z Opinion formation in growing social systems You, Jingbo Xiao Gaoxi School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering We studied the opinion formation in growing networks and observed the correlation between network growth and opinion formation. Numerical simulations are adopted as the main approach for this study. Specifically, We adopted the Deffuant model as the basic opinion formation and the growth and preferential attachment as the main schemes driving the network growth, while subject to opinion formation constraints. By comparing the generated networks against those generated by classic models, e.g., the Baraba ́si-Albert model with growth and preferential attachment but without any opinion formation or constraints, we reveal some interesting insights into how different opinions and their evolution may affect the growth and dynamics of social networks. Master of Science (Signal Processing) 2019-07-29T01:11:05Z 2019-07-29T01:11:05Z 2019 Thesis http://hdl.handle.net/10356/78847 en 65 p. application/pdf |
| spellingShingle | Engineering::Electrical and electronic engineering You, Jingbo Opinion formation in growing social systems |
| title | Opinion formation in growing social systems |
| title_full | Opinion formation in growing social systems |
| title_fullStr | Opinion formation in growing social systems |
| title_full_unstemmed | Opinion formation in growing social systems |
| title_short | Opinion formation in growing social systems |
| title_sort | opinion formation in growing social systems |
| topic | Engineering::Electrical and electronic engineering |
| url | http://hdl.handle.net/10356/78847 |
| work_keys_str_mv | AT youjingbo opinionformationingrowingsocialsystems |