Available Data & R-scripts are linked behind the publication
Submitted pre-prints:
- Epskamp, S. & Fried, Eiko I.(submitted). A primer on estimating regularized psychological networks.
- Epskamp, S. (submitted). Regularized Gaussian psychological networks: brief report on the performance of extended BIC model selection. Network Science.
- Epskamp, E., Waldorp, L. J., Mottus, R. & Borsboom, D. (submitted). Discovering psychological dynamics in time-series data.
- Fried, E. I. (submitted). The 52 different symptoms of major depression: lack of content overlap among seven common depression scales.
- Haslbeck J. M. B., Waldorp L. J. (under review). mgm: Structure estimation for time-varying mixed graphical models in high-dimensional data. The Journal of Statistical Software.
- Haslbeck J. M. B., Waldorp L. J. (under review). Structure estimation for mixed graphical models in high dimensions, The Annals of Applied Statistics.
- Kossakowski, J., Gordijn, M. C. M., Riese, H. & Waldorp, L. J. (submitted). Mean field dynamics of graphs II: Assessing the risk for the development of phase transitions in empirical data.
- Waldorp, L. J. & Kossakowski, J. (submitted). Mean field dynamics of graphs I: Evolution of probabilistic cellular automata for random and small-world graphs.
In press / accepted:
- Costantini, G., Richetin, J., Preti, E., Casini, E., Epskamp, S., & Perugini, M. (2017). Stability and variability of personality networks. A tutorial on recent developments in network psychometrics. Personality and Individual Differences.
- Golino, H. F. & Epskamp, S. (2017). Exploratory graph analysis: a new approach for estimating the number of dimensions in psychological research. PlosOne, 12(6): e0174035.
- Epskamp, S., Maris, G., Waldorp, L. J., & Borsboom, D. (in press). Network psychometrics. To appear in: Irwing, P., Hughes, D., & Booth, T. (Eds.), Handbook of Psychometrics. New York: Wiley.
- Epskamp, S., Kruis, J., & Marsman, M. (in press). Estimating psychopathological networks: be careful what you wish for. PlosOne.
- Fried, E. I. & Cramer, A. O. J. (accepted). Moving forward: challenges and directions for psychopathological network theory and methodology. Perspectives on Psychological Science.
- Haslbeck J. M. B., Waldorp L. J. (in press). How well do network models predict future observations? On the importance of predictability in network models. Behavior Research Methods.
2017:
- Armour, C.* & Fried, E. I.*, Deserno, M. K., Tsai, J., & Pietrzak, R. H. (2017). A network analysis of DSM-5 posttraumatic stress disorder symptoms and correlates in U.S. military veterans. Journal of Anxiety Disorders, 45, 49-59
- Borsboom, D. (2017). A network theory of mental disorders. World Psychiatry, 16, 5–13.
- Dalege, J., Borsboom, D., van Harreveld, F., & van der Maas, H. L. J. (2017). Network analysis on attitudes: A brief tutorial. Social Psychological and Personality Science. Advance online publication.
- Dalege, J., Borsboom, D., van Harreveld, F., Waldorp, L. J., & van der Maas, H. L. J. (2017). Network structure explains the impact of attitudes on voting decisions. Scientific Reports, 7, 4909.
- Fried, E. I. (2017). Psychopathological Networks. In A. E. Wenzel (Ed.), The SAGE encyclopedia of abnormal and clinical psychology. New York, NY: SAGE Publications.
- Epskamp, S., Rhemtulla, M.T., & Borsboom, D. (2017). Generalized network psychometrics: combining network and latent variable models. Psychometrika. doi:10.1007/s11336-017-9557-x
- Epskamp, S., Borsboom, D. & Fried, E.I. (2017). Estimating psychological networks and their accuracy: a tutorial paper. Behavior Research Methods. doi:10.3758/s13428-017-0862-1
- Fried, E. I., van Borkulo, C. D., Cramer, A. O. J., Lynn, B., 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.
- Haslbeck J. M. B., Fried E. I. (2017). How predictable are symptoms in psychopathological networks? A Reanalysis of 18 published datasets. Psychological Medicine.
- Kossakowski, J. J., Groot, P. C., Haslbeck, J. M. B., Borsboom, D., & Wichers, M. (2017). Data from ‘Critical Slowing Down as a Personalized Early Warning Signal for Depression’. Journal of Open Psychology Data, 5: 1. doi: https://doi. org/10.5334/jopd.29. (Data)
2016:
- Borsboom, D., Rhemtulla, M., Cramer, A. O. J., van der Maas, H. L. J., Scheffer, M & Dolan, C. V. (2016). Kinds versus continua: A review of psychometric approaches to uncover the structure of psychiatric constructs. Psychological Medicine, 46(8), 1-13.
- Boschloo, L., van Borkulo, C. D., Borsboom, D., & Schoevers, R. A. (2016). Letter to the editor: A prospective study on how symptoms in a network predict the onset of depression. Psychotherapy and psychosomatics, 85(3), 183-184.
- Boschloo, L., Schoevers, R. A., van Borkulo, C. D., Borsboom, D., & Oldehinkel, A. J. (2016). The network structure of psychopathology in a community sample of preadolescents. Journal of Abnormal Psychology.
- Bringmann, L. F., Madeline, L. P., Vissers, N., Ceulemans, E., Borsboom, D., Vanpaemel, W., Tuerlinckx, F. & Kuppens, P. (2016). Assessing temporal emotion dynamics using networks. Assessment, 1073191116645909, 1-11.
- Bringmann, L. F., Hamaker, E. L., Vigo, D. E., Aubert, A., Borsboom, D., & Tuerlinckx, F. (2016). Changing dynamics: Time-varying autoregressive models using generalized additive modeling. Psychological Methods.
- Cramer, A. O. J., van Borkulo, C. D., Giltay, E. J., van der Maas, H. L. J., Kendler, K.S., Scheffer, M. & Borsboom, D. (2016). Major depression as a complex dynamic system. PLoS ONE.
- Deserno, M. K., Borsboom, D., Begeer, S., & Geurts, H. M. (2016). Multicausal systems ask for multicausal approaches: A network perspective on subjective well-being in individuals with autism spectrum disorder. Autism, 1-12.
- Fried, E. I., van Borkulo, C. D., Epskamp, S., Schoevers, R. A., Tuerlinckx, F., & Borsboom, D. (2016). Measuring depression over time … or not? Lack of unidimensionality and longitudinal measurement invariance in four common rating scales of depression. Psychological Assessment. Advance Online Publication. (Data & R-Script)
- Fried, E. I., Epskamp, S., Nesse, R. M, Tuerlinckx, F., & Borsboom, D. (2016). What are ‘good’ depression symptoms? Comparing the centrality of DSM and non-DSM symptoms of depression in a network analysis. Journal of Affective Disorders, 189, 314-320. (R-Script)
- Isvoranu, A. M., van Borkulo, C. D., Boyette, L. L., Wigman, J. T. W., Vinkers, C. H., Borsboom, D. (2016). A network approach to psychosis: pathways between childhood trauma and psychotic symptoms. Schizophrenia Bulletin, 43(1), 187-196.
- Isvoranu, A. M., Borsboom, D., van Os, J. & Guloksuz, S. (2016). A network approach to environmental impact in psychotic disorder: brief theoretical framework. Schizophrenia Bulletin, 42(4), 870-873
- Kossakowski, J. J., Epskamp, S., Kieffer, J. M., Borkulo, C. D. van, Rhemtulla, M., & Borsboom, D. (2016). The application of a network approach to health-related quality of life: introducing a new method for assessing HRQoL in healthy adults and cancer patients. Quality of Life Research, 25(4), 781-792. (R-script).
- Kruis, J. & Maris, G. (2016). Three representations of the Ising model. Scientific Reports(6), 34175.
- Nuijten, M.B., Deserno, M. K., Cramer, A. O. J., & Borsboom, D. (2016). Mental disorders as complex networks: An introduction and overview of a network approach to psychopathology. Clinical Neuropsychiatry, 13, 68-76.
- Olde Rikkert, M. G. M., Dakos, V., Buchman, T. G., de Boer, R., Glass, L., Cramer A. O. J., …, & Scheffer, M. (in press). Slowing down as recovery as genetic risk marker for acute severity transitions in chronic diseases. Critical Care Medicine, 44 (3), 601-605.
- Rhemtulla, M., Fried, E. I., Aggen, S. H., Tuerlinckx, F., Kendler, K. S., Borsboom, D. (2016). Network analysis of substance abuse and dependence symptoms. Drug and Alcohol Dependence, 161, 230-237. (R-Script)
- 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. (Data & Code)
- Van Borkulo, C. D., Borsboom, D. & Schoevers, R.A. (2016). Group-level symptom networks in depression — Reply. JAMA Psychiatry, 73(4).
- Wichers, M, Groot, P, Simons, C. J. P., Peeters, F., Psychosystems group, ESM Group & ESW Group. (2016) Critical slowing down as a personalized early warning signal for depression. Psychotherapy and Psychosomatics. 85, 114–116 .
2015:
- 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: e0137621.
- Bringmann, L. F., Lemmens, L. H. J. M., Huibers, M. J. H., Borsboom, D. & Tuerlinckx, F. (2015). Revealing the dynamic network structure of the Beck Depression Inventory-II. Psychological Medicine, 45, 747-757. (DATA & R CODE)
- Cramer, A. O. J., & Borsboom, D. (2015). Problems attract problems: A network perspective on mental disorders. Emerging Trends in the Social and Behavioral Sciences.
- Dalege, J., Borsboom, D., Van Harreveld, F., Van den Berg, H., Conner, M., & Van der Maas, H. L. J. (2015). Toward a formalized account of attitudes: The causal attitude network (CAN) Model. Psychological Review, 123(1), 2-22. (R-SCRIPT)
- Epskamp, S. (2015). semPlot: Unified visualizations of structural equation models. Structural Equation Modeling, 22, 474-483. (Data & R-script in article)
- Fried, E. I. (2015). Problematic assumptions have slowed down depression research: why symptoms, not syndromes are the way forward. Frontiers in Psychology, 6(306), 1-11.
- Fried. E. I., & van der Sluis, S., & Cramer, A. O. J. (2015). The genetics of major depression remain elusive. Unpublished commentary
- Fried, E. I., Boschloo, L., van Borkulo, C. D., Schoevers, R. A., Romeijn, J.-W., Wichers, M. C., de Jonge, P., Nesse, R. M., Tuerlinckx, F., & Borsboom, D. (2015). Commentary: “Consistent superiority of selective serotonin reuptake inhibitors over placebo in reducing depressed mood in patients with major depression.” Frontiers in Psychiatry, 6, 1–3.
- Fried, E. I., Bockting, C., Arjadi, R., Borsboom, D., Tuerlinckx, F., Cramer, A., Epskamp, S., Amshoff, M., Carr, D., & Stroebe, M. (2015). From loss to loneliness: The relationship between bereavement and depressive symptoms. Journal of Abnormal Psychology, 124, 256-265. (DATA & R-SCRIPT)
- Schmittmann, V. D., Jahfari, S., Borsboom, D., Savi, A.O., Waldorp, L. J. (2015). Making large-scale networks from fMRI data. PLoS ONE 10: e0129074.
- Van Borkulo, C., Boschloo, L., Borsboom, D., Penninx, B. W. J. H., Waldorp, L. J., & Schoevers, R. A. (2015). Association of symptom network structure with the course of longitudinal depression. JAMA Psychiatry.
- Waldorp, L.J., & Schmittmann, V.D. (2015). Computing assortative mixing by degree with the s-metric in networks using linear programming. Journal of Applied Mathematics, 2015, 1-9, DOI:10.1155/2015/580361.
- Wigman, J. T. W., Van Os, J., Borsboom, D., Wardenaar, K. J., Epskamp, S., Klippel, A., MERGE, Viechtbauer, W., Myin-Germeys, I., & Wichers, M. (2015). Exploring the underlying structure of mental disorders: cross-diagnostic differences and similarities from a network perspective using both a top-down and a bottom-up approach. Psychological Medicine, 45(11), 1-13.
2014:
- Costantini, G., Epskamp, S., Borsboom, D., Perugini, M., Mõttus, R., Waldorp, L. J., & Cramer, A. O. (2014). State of the aRt personality research: A tutorial on network analysis of personality data in R. Journal of Research in Personality, 54, 13-29. (Data & Script in article)
- McNally, R. J., Robinaugh, D. J., Wu, Gwyneth W. Y., Wang, L., Deserno, M., & Borsboom, D. (2014) Mental disorders as causal systems: A network approach to Posttraumatic Stress Disorder. Clinical Psychological Science, 3(6), 836-849. (DATA) (R-SCRIPT) (QUESTIONNAIRE)
- Ruzzano, L., Borsboom, D. & Geurts, H. M. (2014). Repetitive behaviors in autism and obsessive–compulsive disorder: new perspectives from a network analysis. Journal of autism and developmental disorders, 45(1), 192-202.
- Van de Leemput, I. A., Wichers, M., Cramer, A. O. J., Borsboom, D., Tuerlinckx, F., Kuppens, P., Van Nes, E. H., Viechtbauer, W., Giltay, E. J., Aggen S. H., Derom, C., Jacobs, N., Kendler, K. S., Van der Maas H. L. J., Neale, M. C., Peeters, F., Thiery, E., Zachar, P. & Scheffer, M. (2013). Critical slowing down as early warning for the onset and termination of depression. Proceedings of the National Academy of Sciences, 111(1), 87-92. (Data & R-Script in article)
- 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.
- Wichers, M., Borsboom, D., Tuerlinckx, F., Kuppens, P., Viechtbauer, W., Van de Leemput, I., Kendler, K. S., & Scheffer, M. (2014). Reply to Bos and De Jonge: Between-subject data do provide first empirical support for critical slowing down in depression. (Letter to the editor). Proceedings of the National Academy of Sciences, 111(10), 879. (This is a response to this comment by Bos and De Jonge).
2013:
- Borsboom, D., & Cramer, A. O. J. (2013). Network analysis: An integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9, 91-121. (DATA & R-SCRIPT)
- Bringmann, L. F., Vissers, N., Wichers, M., Geschwind, N., Kuppens, P., Peeters, F., Borsboom, D., & Tuerlinckx, F. (2013). A network approach to psychopathology: New insights into clinical longitudinal data. PLoS ONE, 8, e60188. (DATA) (R-SCRIPT)
- Schmittmann, V. D., Cramer, A. 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.
2012:
- Cramer, A. O. J., van der Sluis, S., Noordhof, A., Wicherts, M., Geschwind, N., Aggen, S. H., Kendler, K. S., & Borsboom, D. (2012). Dimensions of normal personality as networks in search of equilibrium: You can’t like parties if you don’t like people. European Journal of Personality, 26, 414-431.This appeared together with commentaries and our rejoinder:
- Epskamp, S., Cramer, A. O. J., Waldorp, L. J., Schmittmann, V. D., & Borsboom, D. (2012). qgraph: Network visualizations of relationships in psychometric data. Journal of Statistical Software, 48, 1-18. (Data & R-script in article)
2011:
- Borsboom, D., Cramer, A. O. J., Schmittmann, V. D., Epskamp, S., & Waldorp, L. J. (2011). The small world of psychopathology. PLoS ONE, 11, e27407. (DATA & R-SCRIPT)
- Borsboom, D., Epskamp, S., Kievit, R.A., Cramer, A.O.J., & Schmittmann, V. D. (2011).Transdiagnostic networks: A comment on Watkins and Nolen-Hoeksema. Perspectives on Psychological Science, 6, 610-614.
- Cramer, A.O.J., Borsboom, D., Aggen, S.H., & Kendler, K.S. (2011). The pathoplasticity of dysphoric episodes: Differential impact of stressful life events on the pattern of depressive symptom inter-correlations. Psychological Medicine, 42(05), 957-965.
2010:
- Cramer, A. O. J., Waldorp, L. J., van der Maas, H., & Borsboom, D. (2010).Comorbidity: A network perspective. Behavioral and Brain Sciences, 33, 137-193. This appeared together with commentaries and our rejoinder:
- Cramer, A. O. J., Waldorp, L. J., van der Maas, H., & Borsboom, D. (2010). Authors’ response. Complex realities require complex theories: Refining and extending the network approach to mental disorders. Behavioral and Brain Sciences, 33, 178-193.
Pre 2010: