Please wait a minute...
心理科学进展  2020, Vol. 28 Issue (1): 178-190    DOI: 10.3724/SP.J.1042.2020.00178
     研究方法 本期目录 | 过刊浏览 | 高级检索 |
变量间的网络分析模型及其应用
蔡玉清1(),董书阳2,袁帅3,胡传鹏4,5()
1 清华大学人文学院, 北京 100084
2 Department of Developmental Psychology, Utrecht University, Utrecht,3584CS, Netherland
3 Department of Methodology and Statistics, Tilburg University, Tilburg, 5037AB, Netherland
4 German Resilience Center, Mainz, 55131, Germany
5 Neuroimaging Center (NIC), University Medical Centre of the Johannes Gutenberg University, Mainz, 55131, Germany
Network analysis and its applications in psychology
CAI Yuqing1(),DONG Shuyang2,YUAN Shuai3,HU Chuan-Peng4,5()
1 Department of Humanity, Tsinghua University, Beijing 100084, China
2 Department of Developmental Psychology, Utrecht University, Utrecht,3584CS, Netherland
3 Department of Methodology and Statistics, Tilburg University, Tilburg, 5037AB, Netherland
4 German Resilience Center, Mainz, 55131, Germany
5 Neuroimaging Center (NIC), University Medical Centre of the Johannes Gutenberg University, Mainz, 55131, Germany
全文: PDF(967 KB)   HTML
输出: BibTeX | EndNote (RIS)      
摘要 

变量间的网络分析模型近年来被广泛应用于心理学研究。不同于将潜变量作为观测变量的共同先导因素的潜变量模型, 网络分析模型将观测变量作为初级指标, 采用图论的方法建立观测变量之间的关系网络, 其中变量为网络的节点, 而变量间的关系是节点之间的连线。因此网络分析可以突显观测变量之间的联系以及观测变量相互影响而形成的系统。通过变量网络中基于各个节点特征的指标(如中心性)以及基于整体结构特征的指标(如小世界性), 网络分析为研究各种心理现象提供了新的可视化的描述方式和理解视角。近10年来, 网络分析的方法已在人格心理学、社会心理学和临床心理学等领域得到一定的应用。未来研究应继续发展和完善网络分析模型的理论和方法, 使之运用到更多的数据类型和更广的研究领域中。

服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
蔡玉清
董书阳
袁帅
胡传鹏
关键词 网络分析潜变量模型心理测量临床心理学人格特质    
Abstract

Network analysis models (or Network Psychometrics) have been widely used in psychology research in recent years. Unlike latent variable models which conceive observable variables as outcomes of unobservable latent factors, network analysis models apply the graph theory to construct a network to depict the associations among observable variables. The observable variables are treated as nodes and the associations between them are treated as edges. As such, network analysis models reveal the relationships among observable variables and the dynamic system resulted from the interactions between these observable variables. With indices reflecting individual nodes’ characteristics (such as centrality) and network structural characteristics (such as small-worldness), network analysis models provide a new perspective for visualization and for studying various psychological phenomena. In the past decade, network analysis models have been applied in the fields of personality, social, and clinical psychology as well as psychiatry. Future research should continue to develop and improve the methods of network analysis models, making them applicable to more types of data and broader research fields.

Key wordsnetwork analysis    latent variable    psychometrics    psychopathology    personality traits
收稿日期: 2019-05-27      出版日期: 2019-11-21
ZTFLH:  B841  
基金资助:清华大学学术推进计划资助
通讯作者: 蔡玉清,胡传鹏     E-mail: cyq_2016@outlook.com;hcp4715@hotmail.com
引用本文:   
蔡玉清,董书阳,袁帅,胡传鹏. (2020). 变量间的网络分析模型及其应用. 心理科学进展, 28(1), 178-190.
CAI Yuqing,DONG Shuyang,YUAN Shuai,HU Chuan-Peng. (2020). Network analysis and its applications in psychology. Advances in Psychological Science, 28(1), 178-190.
链接本文:  
http://journal.psych.ac.cn/xlkxjz/CN/10.3724/SP.J.1042.2020.00178      或      http://journal.psych.ac.cn/xlkxjz/CN/Y2020/V28/I1/178
  简短大五人格问卷中宜人性(agreeableness)、神经质(neuroticism)和外向性(extroversion)三个维度的偏相关网络模型。测量相同特质的问卷条目由相同颜色的节点表示(数据、代码及问卷条目见在线补充材料或osf.io/g74dz/)。条目与条目之间的联系由连线表示, 绿色连线代表正相关, 红色连线代表负相关, 连线越粗代表相关性越强。左:偏相关网络模型;右:GLASSO网络模型。数据来源:Liu等(2019)。
  包含4个节点的加权网络示意图, 各连线间加权值如各连线上数值所示
1 胡传鹏, 王非, 过继成思, 宋梦迪, 隋洁, 彭凯平 . ( 2016). 心理学研究中的可重复性问题:从危机到契机. 心理科学进展, 24( 9), 1504-1518.
2 Afzali M. H., Sunderland M., Teesson M., Carragher N., Mills K ,& Slade, T. .( 2017).A network approach to the comorbidity between posttraumatic stress disorder and major depressive disorder: The role of overlapping symptoms. Journal of Affective Disorders, 208, 490-496. 2016. 10. 037
3 American Psychiatric Association . ( 1994). Diagnostic and statistical manual of mental disorders (4th ed). Washington, DC:Author.
4 American Psychiatric Association . ( 2000). Diagnostic and Statistical Manual of Mental Disorders (4th ed, text rev.). Washington, DC:Author.
5 American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorder (5th ed). Arlington, VA: American Psychiatric Publishing.
6 Bekhuis E., Schoevers R., de Boer M., Peen J., Dekker J., van H., & Boschloo L . ( 2018). Symptom-Specific effects of psychotherapy versus combined therapy in the treatment of mild to moderate depression: A network approach. Psychotherapy and Psychosomatics, 87( 2), 121-123.
7 Blanken T. F., van Der Zweerde T., van Straten A., van Someren, E. J. W., Borsboom D., & Lancee J . ( 2019). Introducing network intervention analysis to investigate sequential, symptom-specific treatment effects: A demonstration in co-occurring insomnia and depression. Psychotherapy and Psychosomatics, 88(1),52-54.
8 Borgatti S. P., Mehra A., Brass D. J., & Labianca G . ( 2009). Network analysis in the social sciences. Science, 323(5916),892-895. . 1165821
9 Borsboom ,D.( 2008). Psychometric perspectives on diagnostic systems. Journal of Clinical Psychology, 64(9),1089-1108.
10 Borsboom ,D. ( 2017). A network theory of mental disorders. World Psychiatry, 16(1),5-13.
11 BorsboomD., &Cramer A. O.J, . ( 2013). Network analysis: An integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9(1),91-121.
12 Borsboom D., Cramer A. O. J., Schmittmann V. D., Epskamp S., & Waldorp L. J . ( 2011). The small world of psychopathology. PLoS ONE, 6(11), e27407.
13 Borsboom D., Fried E. I., Epskamp S., Waldorp L. J., van Borkulo C. D .,van der Maas, H. L. J.,& Cramer, A. O. J. ( 2017). False alarm? A comprehensive reanalysis of “Evidence that psychopathology symptom networks have limited replicability” by Forbes, Wright, Markon, and Krueger (2017). Journal of Abnormal Psychology, 126(7),989-999.
14 Borsboom D., Mellenbergh G. J., & Heerden J. van . ( 2003). The theoretical status of latent variables. Psychological Review, 110(2),203-219. 2. 203
15 Borsboom D., Robinaugh D. J ., The Psychosystems Group, Rhemtulla, M., & Cramer, A. O. J.( 2018). Robustness and replicability of psychopathology networks. World Psychiatry, 17(2),143-144.
16 Boschloo L., van Borkulo C. D., Rhemtulla M., Keyes K. M., Borsboom D., & Schoevers R. A . ( 2015). The network structure of symptoms of the diagnostic and statistical manual of mental disorders. PLoS ONE, 10( 9),e0137621. 0137621
17 Brandt M. J., Sibley C. G., & Osborne D . ( 2019). What is central to political belief system networks? Personality and Social Psychology Bulletin, 45( 9), 1352-1364.
18 Bringmann L. F., Vissers N., Wichers M., Geschwind N., Kuppens P., Peeters F., … Tuerlinckx F . ( 2013). A network approach to psychopathology: New insights into clinical longitudinal data. PLoS ONE, 8( 4), e60188.
19 Bulteel K., Tuerlinckx F., Brose A ., & Ceulemans E.( 2018).Improved insight into and prediction of network dynamics by combining VAR and dimension reduction. Multivariate Behavioral Research, 8 2018. 1516540
20 Cao X., Wang L., Cao C., Fang R., Chen C., Hall B. J., & Elhai J. D . ( 2019). Sex differences in global and local connectivity of adolescent posttraumatic stress disorder symptoms. Journal of Child Psychology and Psychiatry, 60(2),216-224.
21 Costantini G., Epskamp S., Borsboom D., Perugini M., M?ttus R., Waldorp L. J ., & Cramer A. O. J.( 2015). State of the aRt personality research: A tutorial on network analysis of personality data in R. Journal of Research in Personality,54, 13-29.
22 Costantini G., Richetin J., Borsboom D., Fried E. I., Rhemtulla M., & Perugini M . ( 2015). Development of indirect measures of conscientiousness: Combining a facets approach and network analysis. European Journal of Personality, 29(5),548-567.
23 Costantini G., Richetin J., Preti E., Casini E., Epskamp S ., & Perugini M.( 2019). Stability and variability of personality networks. A tutorial on recent developments in network psychometrics. Personality and Individual Differences, 136, 68-78.
24 Cramer A. O. J., van der Sluis S., Noordhof A., Wichers M., Geschwind N., Aggen S. H., … Borsboom D . ( 2012). Dimensions of normal personality as networks in search of equilibrium: You can’t like parties if you don’t like people: Dimensions of normal personality as networks. European Journal of Personality, 26(4),414-431.
25 Cramer A. O. J., Waldorp L. J., van der Maas, H. L. J., & Borsboom D . ( 2010). Comorbidity: A network perspective. Behavioral and Brain Sciences, 33(2-3),137-150.
26 Dalege J., Borsboom D., van Harreveld F., van den Berg H., Conner M .,& van der Maas H. L. J. .,( 2016). Toward a formalized account of attitudes: The causal attitude network (CAN) model. Psychological Review, 123(1),2-22.
27 Dalege, J., Borsboom ,D., van Harreveld, F., & van der Maas, H. L. J .( 2018). The attitudinal entropy (AE) framework as a general theory of individual attitudes. Psychological Inquiry, 29 2018. 1537246
28 Di Pierro,R., Costantini, G., Benzi, I. M. A., Madeddu, F., & Preti, E.( 2018). Grandiose and entitled, but still fragile: A network analysis of pathological narcissistic traits. . Personality and Individual Differences, 140, 15-20.
29 Epskamp S., Rhemtulla M., & Borsboom D . ( 2017). Generalized network psychometrics: Combining network and latent variable models. Psychometrika, 82(4),904-927.
30 Epskamp S., Waldorp L. J., M?ttus R .,&Borsboom D.( 2018). The gaussian graphical model in cross-sectional and time-series data. Multivariate Behavioral Research, 53(4)453-480 .
31 Erd?sP., &Rényi, A . ( 1959). On Random Graphs. I. Publicationes Mathematicae., 6, 290-297.
32 FreemanL.C., . ( 1978). Centrality in social networks conceptual clarification. Social Networks, 1(3),215-239. (78) 90021-7
33 Fried E. I., Bockting C., Arjadi R., Borsboom D., Amshoff M., Cramer A. O. J., … Stroebe M . ( 2015). From loss to loneliness: The relationship between bereavement and depressive symptoms. Journal of Abnormal Psychology, 124(2),256-265.
34 Fried E. I., van Borkulo C. D., Cramer A. O. J., Boschloo L., Schoevers R. A., & Borsboom D . ( 2017). Mental disorders as networks of problems: A review of recent insights. Social Psychiatry and Psychiatric Epidemiology, 52(1),1-10.
35 Friedman J., Hastie T., & Tibshirani R . ( 2008). Sparse inverse covariance estimation with the graphical lasso. Biostatistics, 9(3),432-441.
36 HaslbeckJ. M.., &Fried E.I, . ( 2017). How predictable are symptoms in psychopathological networks? A reanalysis of 18 published datasets. Psychological Medicine, 47(16),2767-2776.
37 HaslbeckJ. M.., &Waldorp L.J, . ( 2015. MGM: Estimating Time-Varying Mixed Graphical Models in High-Dimensional Data. Retrieved March 19, 2019 from
38 Hyatt C. S., Sleep C. E., Lamkin J., Maples-Keller J. L., Sedikides C., Campbell W. K., & Miller J. D . ( 2018). Narcissism and self-esteem: A nomological network analysis. PLoS ONE, 13( 8), e0201088.
39 Isvoranu A.-M., van Borkulo C. D., Boyette L.-L., Wigman J. T. W., Vinkers C. H., Borsboom D., & Group Investigators . ( 2017). A network approach to psychosis: Pathways between childhood trauma and psychotic symptoms. Schizophrenia Bulletin, 43(1),187-196.
40 JonesD.., &Figueredo A.J, . ( 2013). The core of darkness: Uncovering the heart of the dark. European Journal of Personality, 27(6),521-531.
41 Lauritzen S. L. ( 1996). Graphical models. Oxford, England: Clarendon Press.
42 LazarsfeldP.., &Henry N.W, . ( 1968). Latent structure analysis. Boston: Houghton Mill.
43 LevineM., &Davidson E.H, . ( 2005). Gene regulatory networks for development. Proceedings of the National Academy of Sciences, 102(14),4936-4942.
44 Liu Q., Fei W., Yan W., Peng K., Sui J., & Hu C . ( 2019). Questionnaire data from the revision of a Chinese Version of Free Will and Determinism Plus Scale and Experiments on the Perceptual Prioritization of the Good Self.
45 Marcus D. K., Preszler J .,& Zeigler-Hill V.( 2018). A network of dark personality traits: What lies at the heart of darkness? Journal of Research in Personality, 73, 56-62
46 McCraeR.., &Costa P. T.Jr, . ( 2008). Empirical and theoretical status of the five-factor model of personality traits. In G. Boyle, G. Matthews, & D. Saklofske (Eds.), The SAGE handbook of personality theory and assessment (Vol.1, pp. 273-294). Thousand Oaks, CA: Sage.
47 McNally R.J.( 2016). Can network analysis transform psychopathology? Behaviour Research and Therapy, 86, 95-104.
48 McNally R. J., Robinaugh D. J., Wu G. W. Y., Wang L., Deserno M. K., & Borsboom D . ( 2015). Mental disorders as causal systems: A network approach to posttraumatic stress disorder. Clinical Psychological Science, 3(6),836-849.
49 Milgram,S. ( 1967). The small world problem. Psychology Today, 1( 1), 61-67.
50 MillarR.B., . ( 2011). Latent variable models. In Maximum likelihood estimation and inference (pp. 202-232). Indianapolis, IN: John Wiley & Sons.
51 Nagel M., Watanabe K., Stringer S., Posthuma D .,& van der Sluis S. .,( 2018). Item-level analyses reveal genetic heterogeneity in neuroticism. Nature Communications, 9, Article 905.
52 NewmanM. E.J., . ( 2001). The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences, 98(2),404-409.
53 NewmanM. E.J., . ( 2003). The structure and function of complex networks. SIAM Review, 45(2),167-256.
54 Open Science Collaboration . ( 2015). Estimating the reproducibility of psychological science.. Science, 349(6251), aac4716-aac4716.
55 Opsahl T., Agneessens F .,&Skvoretz, J.( 2010).Node centrality in weighted networks: Generalizing degree and shortest paths. Social Networks, 32
56 OpsahlT., &Panzarasa, P . ( 2009). Clustering in weighted networks. Social Networks, 31( 2),155-163.
57 ParkH.-J., &Friston, K . ( 2013). Structural and functional brain networks: From connections to cognition. Science, 342( 6158), 1238411-1238411.
58 Pourahmadi,M.( 2011). Covariance estimation: The GLM and regularization perspectives. Statistical Science, 26( 3), 369-387.
59 Rhemtulla M ., van Bork , R., & Cramer, A.O. J. (in press). Cross-lagged network models. Multivariate Behavioral Research. Retrived April 15, 2019 from
60 Ruzzano L., Borsboom D., & Geurts H. M . ( 2015). Repetitive behaviors in autism and obsessive-compulsive disorder: New perspectives from a network analysis. Journal of Autism and Developmental Disorders, 45( 1), 192-202.
61 Santos H. P., Kossakowski J. J., Schwartz T. A., Beeber L., & Fried E. I . ( 2018). Longitudinal network structure of depression symptoms and self-efficacy in low-income mothers. PLoS ONE, 13( 1), e0191675. 0191675
62 SchmittmannV.., CramerA.O J. ., Waldorp, L. J., Epskamp, S., Kievit, R. A., & Borsboom, D.(2013). Deconstructing the construct: A network perspective on psychological phenomena.New Ideas in Psychology , 31(1), 43-53.
63 SpornsO., &Honey C.J, . ( 2006). Small worlds inside big brains. Proceedings of the National Academy of Sciences, 103( 51), 19219-19220.
64 TeichmannS.., &Babu M.M, . ( 2004). Gene regulatory network growth by duplication. Nature Genetics, 36( 5), 492-496.
65 Tio P., Epskamp S., Noordhof A., & Borsboom D . ( 2016). Mapping the manuals of madness: Comparing the ICD-10 and DSM-IV-TR using a network approach. International Journal of Methods in Psychiatric Research, 25( 4), 267-276.
66 TraversJ., &Milgram, S . ( 1969). An experimental study of the small world problem. Sociometry, 32( 4), 425-443.
67 van Borkulo C. D., Borsboom D., Epskamp S., Blanken T. F., Boschloo L., Schoevers R. A., & Waldorp L. J . ( 2014). A new method for constructing networks from binary data. Scientific Reports, 4 , (5918), 152-167.
68 van Borkulo C. D., Boschloo L., Kossakowski J. J., Tio P., Schoevers R., Borsboom D., & Waldorp L . ( 2016). Comparing network structures on three aspects: A permutation test. Submitted. Retrived March 19, 2019 from
69 Wechsler S. M., Benson N., Machado W. D. L., Bachert C. M. D., & Gums E. F . ( 2018). Adult temperament styles: A network analysis of their relationships with the Big Five Personality Model. European Journal of Education and Psychology, 11( 1),.
70 World Health Organization ( WHO). (1993). The ICD-10 classification of mental and behavioural disorders: Diagnostic criteria for research (ICD-10).Geneva:Author.
71 Xia M ., & He Y.(2017). Functional connectomics from a “big data” perspective. NeuroImage, 160, 152-167.
[1] 李凯;郭永玉;杨沈龙. 民众对于恐怖袭击的风险感知[J]. 心理科学进展, 2017, 25(2): 358-369.
[2] 邓小平, 徐晨, 程懋伟, 张向葵.  青少年偏差行为的同伴选择和影响效应:基于纵向社会网络的元分析[J]. 心理科学进展, 2017, 25(11): 1898-1909.
[3] 王妍;杨娟. 人格特质对个体心理性应激反应的调节作用[J]. 心理科学进展, 2015, 23(8): 1453-1460.
[4] 赵宇晗;余林. 人格特质与认知能力的关系及其年龄差异[J]. 心理科学进展, 2014, 22(12): 1924-1934.
[5] 张慧;徐富明;李彬;罗寒冰;郑秋强. 基于气候变化的风险认知[J]. 心理科学进展, 2013, 21(9): 1677-1685.
[6] 吴佳煇;Sharon K. Parker. 深谋远虑:前瞻行为研究的回顾与展望[J]. 心理科学进展, 2013, 21(4): 679-700.
[7] 陈浩彬;汪凤炎. 智慧:结构、类型、测量及与相关变量的关系[J]. 心理科学进展, 2013, 21(1): 108-117.
[8] 李峰;朱彬钰;辛涛. 十五年来心理测量学研究领域可视化研究—— 基于CITESPACE的分析[J]. 心理科学进展, 2012, 20(7): 1128-1138.
[9] 胡超;傅根跃. 听音识人—— 语音频谱与人格特质的关系初探[J]. 心理科学进展, 2011, 19(6): 809-813.
[10] 马绍奇;焦璨;张敏强. 社会网络分析在心理研究中的应用[J]. 心理科学进展, 2011, 19(5): 755-764.
[11] 黄攸立;刘筱. 国外工作场所负面人格特质研究述评[J]. 心理科学进展, 2011, 19(1): 85-93.
[12] 霍娜;李超平. 工作价值观的研究进展与展望[J]. 心理科学进展, 2009, 17(04): 795-801.
[13] 伊丽;武国城;万憬;陈松;汪志勇. 抗震救灾官兵心理健康状况及相关因素分析[J]. 心理科学进展, 2009, 17(03): 567-569.
[14] 李欣华;郑涌. 人格与病理性赌博研究述评[J]. 心理科学进展, 2008, 16(05): 740-744.
[15] 张建新;周明洁. 中国人人格结构探索——人格特质六因素假说[J]. 心理科学进展, 2006, 14(04): 574-585.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《心理科学进展》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发  技术支持:support@magtech.com.cn