An Extended SISa Model for Sentiment Contagion
One of the main differences between sentiment and infectious diseases is that the former one has two opposite infectious states: positive (optimistic) and negative (pessimistic), while the latter one has not. In this paper, based on the SISa model, we consider this issue and propose a new model of s...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2014/262384 |
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| _version_ | 1850166555848998912 |
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| author | Zhifeng Liu Tingting Zhang Qiujun Lan |
| author_facet | Zhifeng Liu Tingting Zhang Qiujun Lan |
| author_sort | Zhifeng Liu |
| collection | DOAJ |
| description | One of the main differences between sentiment and infectious diseases is that the former one has two opposite infectious states: positive (optimistic) and negative (pessimistic), while the latter one has not. In this paper, based on the SISa model, we consider this issue and propose a new model of sentiment contagion called the SOSa-SPSa model. The results of both numerical and agent-based simulations show that our model could explain the process of sentiment contagion better than that of Hill et al. (2010). Further analysis shows that both the numbers of optimistic and pessimistic individuals will increase with the probability of spontaneity or contagion and decrease with the probability of recovery. Potential applications of this model in financial market have also been discussed. |
| format | Article |
| id | doaj-art-d7e86baa2ce7421bbe413190beede73c |
| institution | OA Journals |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-d7e86baa2ce7421bbe413190beede73c2025-08-20T02:21:25ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2014-01-01201410.1155/2014/262384262384An Extended SISa Model for Sentiment ContagionZhifeng Liu0Tingting Zhang1Qiujun Lan2College of Management and Economics, Tianjin University, Tianjin 300072, ChinaCollege of Management and Economics, Tianjin University, Tianjin 300072, ChinaBusiness School, Hunan University, Changsha 410082, ChinaOne of the main differences between sentiment and infectious diseases is that the former one has two opposite infectious states: positive (optimistic) and negative (pessimistic), while the latter one has not. In this paper, based on the SISa model, we consider this issue and propose a new model of sentiment contagion called the SOSa-SPSa model. The results of both numerical and agent-based simulations show that our model could explain the process of sentiment contagion better than that of Hill et al. (2010). Further analysis shows that both the numbers of optimistic and pessimistic individuals will increase with the probability of spontaneity or contagion and decrease with the probability of recovery. Potential applications of this model in financial market have also been discussed.http://dx.doi.org/10.1155/2014/262384 |
| spellingShingle | Zhifeng Liu Tingting Zhang Qiujun Lan An Extended SISa Model for Sentiment Contagion Discrete Dynamics in Nature and Society |
| title | An Extended SISa Model for Sentiment Contagion |
| title_full | An Extended SISa Model for Sentiment Contagion |
| title_fullStr | An Extended SISa Model for Sentiment Contagion |
| title_full_unstemmed | An Extended SISa Model for Sentiment Contagion |
| title_short | An Extended SISa Model for Sentiment Contagion |
| title_sort | extended sisa model for sentiment contagion |
| url | http://dx.doi.org/10.1155/2014/262384 |
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