A Social Diffusion Model with an Application on Election Simulation
Issues about opinion diffusion have been studied for decades. It has so far no empirical approach to model the interflow and formation of crowd’s opinion in elections due to two reasons. First, unlike the spread of information or flu, individuals have their intrinsic attitudes to election candidates...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/180590 |
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| author | Jing-Kai Lou Fu-Min Wang Chin-Hua Tsai San-Chuan Hung Perng-Hwa Kung Shou-De Lin Kuan-Ta Chen Chin-Laung Lei |
| author_facet | Jing-Kai Lou Fu-Min Wang Chin-Hua Tsai San-Chuan Hung Perng-Hwa Kung Shou-De Lin Kuan-Ta Chen Chin-Laung Lei |
| author_sort | Jing-Kai Lou |
| collection | DOAJ |
| description | Issues about opinion diffusion have been studied for decades. It has so far no empirical approach to model the interflow and formation of crowd’s opinion in elections due to two reasons. First, unlike the spread of information or flu, individuals have their intrinsic attitudes to election candidates in advance. Second, opinions are generally simply assumed as single values in most diffusion models. However, in this case, an opinion should represent preference toward multiple candidates. Previously done models thus may not intuitively interpret such scenario. This work is to design a diffusion model which is capable of managing the aforementioned scenario. To demonstrate the usefulness of our model, we simulate the diffusion on the network built based on a publicly available bibliography dataset. We compare the proposed model with other well-known models such as independent cascade. It turns out that our model consistently outperforms other models. We additionally investigate electoral issues with our model simulator. |
| format | Article |
| id | doaj-art-f98fc953bcca431baa93e0e6a01fcb6c |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-f98fc953bcca431baa93e0e6a01fcb6c2025-02-03T05:52:12ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/180590180590A Social Diffusion Model with an Application on Election SimulationJing-Kai Lou0Fu-Min Wang1Chin-Hua Tsai2San-Chuan Hung3Perng-Hwa Kung4Shou-De Lin5Kuan-Ta Chen6Chin-Laung Lei7Institute of information Science, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei 115, TaiwanDepartment of Computer Science and Information Engineering, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 10617, TaiwanDepartment of Computer Science and Information Engineering, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 10617, TaiwanDepartment of Computer Science and Information Engineering, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 10617, TaiwanDepartment of Computer Science and Information Engineering, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 10617, TaiwanDepartment of Computer Science and Information Engineering, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 10617, TaiwanInstitute of information Science, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei 115, TaiwanDepartment of Electrical Engineering, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 10617, TaiwanIssues about opinion diffusion have been studied for decades. It has so far no empirical approach to model the interflow and formation of crowd’s opinion in elections due to two reasons. First, unlike the spread of information or flu, individuals have their intrinsic attitudes to election candidates in advance. Second, opinions are generally simply assumed as single values in most diffusion models. However, in this case, an opinion should represent preference toward multiple candidates. Previously done models thus may not intuitively interpret such scenario. This work is to design a diffusion model which is capable of managing the aforementioned scenario. To demonstrate the usefulness of our model, we simulate the diffusion on the network built based on a publicly available bibliography dataset. We compare the proposed model with other well-known models such as independent cascade. It turns out that our model consistently outperforms other models. We additionally investigate electoral issues with our model simulator.http://dx.doi.org/10.1155/2014/180590 |
| spellingShingle | Jing-Kai Lou Fu-Min Wang Chin-Hua Tsai San-Chuan Hung Perng-Hwa Kung Shou-De Lin Kuan-Ta Chen Chin-Laung Lei A Social Diffusion Model with an Application on Election Simulation The Scientific World Journal |
| title | A Social Diffusion Model with an Application on Election Simulation |
| title_full | A Social Diffusion Model with an Application on Election Simulation |
| title_fullStr | A Social Diffusion Model with an Application on Election Simulation |
| title_full_unstemmed | A Social Diffusion Model with an Application on Election Simulation |
| title_short | A Social Diffusion Model with an Application on Election Simulation |
| title_sort | social diffusion model with an application on election simulation |
| url | http://dx.doi.org/10.1155/2014/180590 |
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