Cognitive networks detect structural patterns and emotional complexity in suicide notes
文献类型：期刊论文
| 作者 | Stella, Massimo7; Swanson, Trevor J. J.6; Li, Ying4,5 ; Hills, Thomas T. T.3; Teixeira, Andreia S. S.1,2
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| 刊名 | FRONTIERS IN PSYCHOLOGY
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| 出版日期 | 2022-12-08 |
| 卷号 | 13页码:16 |
| ISSN号 | 1664-1078 |
| 关键词 | data science psycholinguistics complex networks text analysis emotional profiling cognitive network science |
| DOI | 10.3389/fpsyg.2022.917630 |
| 通讯作者 | Stella, Massimo(m.stella@exeter.ac.uk) ; Li, Ying(li@mpib-berlin.mpg.de) |
| 英文摘要 | Communicating one's mindset means transmitting complex relationships between concepts and emotions. Using network science and word co-occurrences, we reconstruct conceptual associations as communicated in 139 genuine suicide notes, i.e., notes left by individuals who took their lives. We find that, despite their negative context, suicide notes are surprisingly positively valenced. Through emotional profiling, their ending statements are found to be markedly more emotional than their main body: The ending sentences in suicide notes elicit deeper fear/sadness but also stronger joy/trust and anticipation than the main body. Furthermore, by using data from the Emotional Recall Task, we model emotional transitions within these notes as co-occurrence networks and compare their structure against emotional recalls from mentally healthy individuals. Supported by psychological literature, we introduce emotional complexity as an affective analog of structural balance theory, measuring how elementary cycles (closed triads) of emotion co-occurrences mix positive, negative and neutral states in narratives and recollections. At the group level, authors of suicide narratives display a higher complexity than healthy individuals, i.e., lower levels of coherently valenced emotional states in triads. An entropy measure identified a similar tendency for suicide notes to shift more frequently between contrasting emotional states. Both the groups of authors of suicide notes and healthy individuals exhibit less complexity than random expectation. Our results demonstrate that suicide notes possess highly structured and contrastive narratives of emotions, more complex than expected by null models and healthy populations. |
| 收录类别 | SCI |
| WOS关键词 | PSYCHOLOGICAL PAIN ; PERSONALITY ; IDEATION ; VARIABILITY ; EXPERIENCE ; MIND |
| 资助项目 | FCT ; LASIGE Research Unit[UIDB/00408/2020] ; LASIGE Research Unit[UIDP/00408/2020] |
| WOS研究方向 | Psychology |
| 语种 | 英语 |
| 出版者 | FRONTIERS MEDIA SA |
| WOS记录号 | WOS:000902059200001 |
| 资助机构 | FCT ; LASIGE Research Unit |
| 源URL | [http://ir.psych.ac.cn/handle/311026/44364]  |
| 专题 | 心理研究所_认知与发展心理学研究室 |
| 通讯作者 | Stella, Massimo; Li, Ying |
| 作者单位 | 1.INESC ID, Lisbon, Portugal 2.Univ Lisbon, Fac Ciencias, Dept Informat, LASIGE, Lisbon, Portugal 3.Univ Warwick, Dept Psychol, Coventry, England 4.Chinese Acad Sci, Inst Psychol, Beijing, Peoples R China 5.Max Planck Inst Human Dev, Berlin, Germany 6.Univ Kansas, Dept Psychol, Lawrence, KS USA 7.Univ Exeter, Dept Comp Sci, CogNosco Lab, Exeter, England |
| 推荐引用方式 GB/T 7714 | Stella, Massimo,Swanson, Trevor J. J.,Li, Ying,et al. Cognitive networks detect structural patterns and emotional complexity in suicide notes[J]. FRONTIERS IN PSYCHOLOGY,2022,13:16. |
| APA | Stella, Massimo,Swanson, Trevor J. J.,Li, Ying,Hills, Thomas T. T.,&Teixeira, Andreia S. S..(2022).Cognitive networks detect structural patterns and emotional complexity in suicide notes.FRONTIERS IN PSYCHOLOGY,13,16. |
| MLA | Stella, Massimo,et al."Cognitive networks detect structural patterns and emotional complexity in suicide notes".FRONTIERS IN PSYCHOLOGY 13(2022):16. |
入库方式： OAI收割
来源：心理研究所
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