Available Data & R-scripts are linked behind the publication

Submitted pre-prints:

• Borsboom, D., van der Maas, H., Dalege, J., Kievit, R., & Haig, B. (2020). Theory Construction Methodology: A practical framework for theory formation in psychology.
• van Borkulo, C. D., Wichers, M., Boschloo, L., Schoevers, R. A., Kamphuis, J. H., Borsboom, D., & Waldorp, L. J. (2016). The contact process as a model for predicting network dynamics of psychopathology. doi:10.13140/RG.2.2.36364.05766
• Chambon, M., Dalege, J., Elberse, J., & van Harreveld, F. (2020). A psychological network approach to factors related to preventive behaviors during pandemics: A European COVID-19 study.
• Dablander, F. (2020). An Introduction to Causal Inference.
• Dablander, F., Pichler, A., Cika, A., & Bacilieri, A. (2020). Anticipating Critical Transitions in Psychological Systems using Early Warning Signals: Theoretical and Practical Considerations.
• Dalege, J., Borsboom, D., van Harreveld, F., & van der Maas, H. L. J. (submitted). A network perspective on political attitudes: Testing the connectivity hypothesis.
• Epskamp, S. Isvoranu, A-M. & Cheung, W.-L. Meta-analytic Gaussian Network Aggregation.
• Haslbeck J. M. B. (submitted). Estimating Group Differences in Network Models using Moderation Analysis.
• Haslbeck, J. M. B.* & Ryan O.* (under revision). Recovering Within-Person Dynamics from Psychological Time Series.
• Haslbeck J. M. B.*, Ryan O.*, & Dablander F.* (submitted). The Sum of All Fears: Comparing Networks Based on Symptom Sum-Scores.
• Haslbeck, J. M. B.*, Ryan O.*, Robinaugh D. J.*, Waldorp L. J., Borsboom D. (under review). Modeling Psychopathology: From Data Models to Formal Theories.
• Isvoranu, A-M., Epskamp, S., & Cheung, M. Network Models of Post-traumatic Stress Disorder: A Meta-analysis. 
• 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.
• Kossakowski, J., Oudheusden, L. J., McNally, R. J., Riemann, B. C., Waldorp, L., & van der Maas, H. L. (2019). Introducing the Causal Graph Approach to Psychopathology: An Illustration in Patients with Obsessive-Compulsive Disorder.
• Kruis, J., Maris, G., Marsman, M., Molenaar, D., Bolsinova, M., & van der Maas, H. L. (2019). The physics of (ir)rational choice.
• Leising, D., Burger, J., Zimmermann, J., Bäckström, M., Oltmanns, J. R., & Connelly, B. S. (2020). Why do items correlate with one another? A conceptual analysis with relevance for general factors and network models.
• Liu, D., Epskamp, S., Isvoranu, A-M., Chen, C., Liu, W. Network Analysis of Physical and Psychiatric Symptoms of Hospital Discharged Patients Infected with COVID-19.
• Marsman, M. (2019). The Idiographic Ising Model.
• Marsman, M., Waldorp, L. J., & Borsboom, D. (2019). Towards a Grand Unified Theory of Network Models: Reply to Brusco, Steinley, Hoffman, Davis-Stober, & Wasserman.
• Moriarity, D., van Borkulo, C. D., & Alloy, L. B. (2020). Inflammatory Phenotype of Depression Symptoms: A Network Perspective on Symptom Structure.
• Robinaugh, D., Haslbeck, J. M. B., Ryan, O., Fried, E. I., & Waldorp, L. (under review). Invisible Hands and Fine Calipers: A Call to Use Formal Theory as a Toolkit for Theory Construction.
• Robinaugh, D., Haslbeck, J. M. B., Waldorp, L., Kossakowski, J. J., Fried, E. I., Millner, A., McNally, R. J., van Nes, E. H., Scheffer, M., Kendler, K. S. & Borsboom, D. (under revision). Advancing the Network Theory of Mental Disorders: A Computational Model of Panic Disorder.
• Schumacher, L., Burger, J., Zoellner, F., Zindler, A., Epskamp, S., & Barthel, D. (2020). Using Clinical Expertise and Empirical Data in Constructing Networks of Trauma Symptoms in Refugee Youth.
• Teague, Robinaugh & Fried (2020). On the control of psychological networks.
• Waldorp, L., & Marsman, M. (2020). Relations between networks, regression, partial correlation, and latent variable model. arXiv preprint arXiv:2007.10656.
• 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

• van der Maas, H. L. J., Savi, A. O., Hofman, A., Kan, K.-J., & Marsman, M. (in press). The network approach to general intelligence. In D. J. McFarland (Ed.), General and specific mental abilities (pp. 108–131). Cambridge Scholars Publishing.

2020:

• Abend, R., Bajaj, M., Coppersmith, D., Kircanski, K., Haller, S., Cardinale, E., … & Pérez-Edgar, K. (2020). A Computational Network Perspective on Pediatric Anxiety. Biological Psychiatry, 87(9), S353.
• van den Berg, J. W., Smid, W., Kossakowski, J. J., van Beek, D., Borsboom, D., Janssen, E., & Gijs, L. (2020). The Application of Network Analysis to Dynamic Risk Factors in Adult Male Sex Offenders. Clinical Psychological Science, 2167702620901720.
• Blanken, T. F., Borsboom, D., Penninx, B. W., & Van Someren, E. J. (2020). Network outcome analysis identifies difficulty initiating sleep as a primary target for prevention of depression: a 6-year prospective study. Sleep, 43(5), zsz288. https://doi.org/10.1093/sleep/zsz288
• Boyette, L. L., Isvoranu, A. M., Schirmbeck, F., Velthorst, E., Simons, C. J., Barrantes-Vidal, N., … & Nelson, B. (2020). From speech illusions to onset of psychotic disorder: applying network analysis to an experimental measure of aberrant experiences. Schizophrenia Bulletin Open.
• Burger, J., Stroebe, M. S., Perrig-Chiello, P., Schut, H. A., Spahni, S., Eisma, M. C., & Fried, E. I. (2020). Bereavement or Breakup: A Network Approach to Modeling Differential Pathways into Depression. Journal of Affective Disorders, 267, 1-8. https://doi.org/10.1016/j.jad.2020.01.157
• Burger, J., van der Veen, D. C., Robinaugh, D. J., Quax, R., Riese, H., Schoevers, R. A., & Epskamp, S. (2020). Bridging the gap between complexity science and clinical practice by formalizing idiographic theories: a computational model of functional analysis. BMC medicine, 18, 1-18 https://doi.org/10.1186/s12916-020-01558-1 
• Cramer, A. O., Leertouwer, I., Lanius, R., & Frewen, P. (2020). A Network approach to studying the associations between posttraumatic stress disorder symptoms and dissociative experiences. Journal of Traumatic Stress, 33(1), 19-28.
• Dablander, F.*, Ryan, O.*, & Haslbeck, J. M. B.* (2020). Choosing between AR (1) and VAR (1) models in typical psychological applications. Plos one, 15(10), e0240730.
• Djelantik, A. M. J., Robinaugh, D. J., Kleber, R. J., Smid, G. E., & Boelen, P. A. (2020). Symptomatology following loss and trauma: Latent class and network analyses of prolonged grief disorder, posttraumatic stress disorder, and depression in a treatment‐seeking trauma‐exposed sample. Depression and anxiety, 37(1), 26-34.
• Epskamp, S. (2020). Psychometric network models from time-series and panel data. Psychometrika. doi:10.1007/s11336-020-09697-3
• Fried, E.I., Van Borkulo, C.D. & Epskamp, S. (2020). On the Importance of Estimating Parameter Uncertainty in Network Psychometrics: A Response to Forbes et al. (2019). Multivariate Behavioral Research, 1-6.
• Greene, T., Gelkopf, M., Fried, E. I., Robinaugh, D. J., & Lapid Pickman, L. (2020). Dynamic network analysis of negative emotions and DSM‐5 posttraumatic stress disorder symptom clusters during conflict. Journal of traumatic stress, 33(1), 72-83.
• Hakulinen, C., Fried, E. I., Pulkki-Råback, L., Virtanen, M., Suvisaari, J., & Elovainio, M. (2020). Network structure of depression symptomology in participants with and without depressive disorder: the population-based Health 2000–2011 study. Social psychiatry and psychiatric epidemiology, 1-10.
• Haslbeck, J. M., Bringmann, L. F., & Waldorp, L. J. (2020). A Tutorial on Estimating Time-Varying Vector Autoregressive Models. Multivariate Behavioral Research, 1-30. doi:10.1080/00273171.2020.1743630
• Haslbeck, J. M., Epskamp, S., Marsman, M., & Waldorp, L. J. (2020). Interpreting the Ising model: The input matters. Multivariate Behavioral Research, 1-11. doi:10.1080/00273171.2020.1730150
• Haslbeck J. M. B., Waldorp L. J. (2020). mgm: Structure Estimation for Time-Varying Mixed Graphical Models in high-dimensional Data. The Journal of Statistical Software. doi:10.18637/jss.v093.i08
• Haslbeck J. M. B., Wulff. D. U., (2020). Estimating the Number of Clusters via Normalized Cluster Instability. Computational Statistics. doi:10.1007/s00180-020-00981-5
• van Heijst, B. F., Deserno, M. K., Rhebergen, D., & Geurts, H. M. (2020). Autism and depression are connected: A report of two complimentary network studies. Autism, 24(3), 680-692.
• Hilland, E., Landrø, N. I., Kraft, B., Tamnes, C. K., Fried, E. I., Maglanoc, L. A., & Jonassen, R. (2019). Exploring the links between specific depression symptoms and brain structure: A network study. bioRxiv, 762609.
• Hirota, T., Deserno, M., & McElroy, E. (2020). The network structure of irritability and aggression in individuals with autism spectrum disorder. Journal of autism and developmental disorders, 1-11.
• Jongeneel, A., Aalbers, G., Bell, I., Fried, E. I., Delespaul, P., Riper, H., … & Van Den Berg, D. (2020). A time-series network approach to auditory verbal hallucinations: Examining dynamic interactions using experience sampling methodology. Schizophrenia Research, 215, 148-156.
• Kalis, A., & Borsboom, D. (2020). Folk psychology as a causal language. Theory & Psychology, 30(5), 723-728.
• Kan, K-J., de Jonge, H., van der Maas, H.L.J., Levine, S.Z., & Epskamp, S. (2020). How to Compare Psychometric Factor and Network Models. Journal of Intelligence 8(4), 35.
• Kruis, J., Maris, G., Marsman, M., Bolsinova, M., & van der Maas, H. L. (2020). Deviations of rational choice: an integrative explanation of the endowment and several context effects. Scientific reports, 10(1), 1-16.
• Lange, J., Dalege, J., Borsboom, D., van Kleef, G. A., & Fischer, A. H. (2020). Toward an Integrative Psychometric Model of Emotions. Perspectives on Psychological Science, 15(2), 444-468.
• Lunansky, G., van Borkulo, C. D. & Borsboom, D. (2020). Personality, resilience, and psychopathology: A model for the interaction between slow and fast network processes in the context of mental health. European Journal of Personality. doi: 10.1002/per.2263
• van der Maas, H. L., Dalege, J., & Waldorp, L. (2020). The polarization within and across individuals: the hierarchical Ising opinion model. Journal of Complex Networks, 8(2), cnaa010.
• Meier, M., Kossakowski, J. J., Jones, P. J., Kay, B., Riemann, B. C., & McNally, R. J. (2020). Obsessive–compulsive symptoms in eating disorders: A network investigation. International Journal of Eating Disorders, 53(3), 362-371.
• Miers, A. C., Weeda, W. D., Blöte, A. W., Cramer, A. O., Borsboom, D., & Westenberg, P. M. (2020). A cross-sectional and longitudinal network analysis approach to understanding connections among social anxiety components in youth. Journal of Abnormal Psychology, 129(1), 82.
• Morvan, Fried, & Chevance (2020). Network modeling in psychopathology: hopes and challenges. Encéphale.
• Rhemtulla, M., van Bork, R., & Cramer, A. O. J. (2020). Cross-lagged network models. Multivariate Behavioral Research.
• Robinaugh, D. J., Hoekstra, R. H. A., Toner, E. R., & Borsboom, D. (2020). The network approach to psychopathology: a review of the literature 2008–2018 and an agenda for future research. Psychological Medicine, 50(3), 353-366.
• Sachisthal, M. S., Jansen, B. R., Dalege, J., & Raijmakers, M. E. (2020). Relating teenagers’ science interest network characteristics to later science course enrolment: An analysis of Australian PISA 2006 and Longitudinal Surveys of Australian Youth data. Australian Journal of Education, 0004944120957477.
• See, A. Y., Klimstra, T. A., Cramer, A. O., & Denissen, J. J. (2020). The Network Structure of Personality Pathology in Adolescence With the 100-Item Personality Inventory for DSM-5 Short-Form (PID-5-SF). Frontiers in Psychology, 11, 823.
• Tio, P., Waldorp, L., & VanDeun, K. (2020). Constructing Graphical Models for Multi-Source Data: Sparse Network and Component Analysis. Advanced Studies in Classification and Data Science (pp. 275-287). Springer, Singapore. doi.org/10.1007/978-981-15-3311-2_22  
• Vervaet, M., Puttevils, L., Hoekstra, R. H. A., Fried, E., & Vanderhasselt, M. A. (2020). Transdiagnostic vulnerability factors in eating disorders: A network analysis. European Eating Disorders Review.
• Vetter, J. S., Spiller, T. R., Cathomas, F., Robinaugh, D., Brühl, A., Boeker, H., … & Kleim, B. (2020). Sex Differences in Depressive Symptoms and Their Networks in a Treatment-Seeking Population–a Cross Sectional Study. Journal of Affective Disorders.
• Waldorp, L., & Kossakowski, J. (2020). Mean field dynamics of stochastic cellular automata for random and small-world graphs. Journal of Mathematical Psychology, 97, 102380.
• Ziermans, T., Isvoranu, A. M., Schirmbeck, F., Geurts, H., De Haan, L., & GROUP Investigators. (2020). M83. Autistic Traits as Linking Pin to Socia Functioning in Psychosis: A Network Approach. Schizophrenia Bulletin, 46(Suppl 1), S166.
• Zwicker, M. V., Nohlen, H. U., Dalege, J., Gruter, G. J. M., & van Harreveld, F. (2020). Applying an attitude network approach to consumer behaviour towards plastic. Journal of Environmental Psychology, 101433.

2019:

• Abacioglu, C. S., Isvoranu, A. M., Verkuyten, M., Thijs, J. & Epskamp, S.(2019). Exploring teachers’ influence on student motivation in multicultural classrooms: A comparative network analysis. Journal of School Psychology 74, 90-105.
• Barbalat, G., van den Bergh, D., & Kossakowski, J. J. (2019). Outcome measurement in mental health services: insights from symptom networks. BMC psychiatry, 19(1), 202.
• Blanken, T. F., Benjamins, J. S., Borsboom, D., Vermunt, J. K., Paquola, C., Ramautar, J., … & Van Someren, E. J. (2019). Insomnia disorder subtypes derived from life history and traits of affect and personality. The Lancet Psychiatry, 6(2), 151-163. doi:10.1016/S2215-0366(18)30464-4.
• Blanken, T. F., Van Der Zweerde, T., Van Straten, A., Van Someren, E. J., 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, 1-3. doi:10.1159/000495045
• van Bork, R., Rhemtulla, M., Waldorp, L., Kruis, J., Rezvanifar, S., & Borsboom, D. (2019). Latent variable models and networks: Statistical equivalence and testability. Multivariate Behavioral Research, doi: 10.1080/00273171.2019.1672515
• Borsboom, D., Cramer, A., & Kalis, A. (2019). Reductionism in retreat. Behavioral and Brain Sciences, 42. doi:10.1017/S0140525X18002091
• Bringmann, L. F., Elmer, T., Epskamp, S., Krause, R. W., Schoch, D., Wichers, M., … & Snippe, E. (2019). What do centrality measures measure in psychological networks?. Journal of Abnormal Psychology, 128(8), 892.
• 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. doi:10.1016/j.paid.2017.06.011
• Dablander, F., Epskamp, S., & Haslbeck, J.M.B. (2019). Studying Statistics Anxiety Requires Sound Statistics: A Comment on Siew, McCartney, and Vitevitch (2019). Scholarship of Teaching and Learning in Psychology.
• Dablander, F.,& Hinne, M. (2019). Node centrality measures are a poor substitute for causal inference. Scientific Reports, 9, 6846.
• Fried E. I., von Stockert S., Haslbeck J. M. B., Lamers F., Schoevers, R.A. & Pennix B. W. J. H. (2019). Using network analysis to examine links between individual depressive symptoms, inflammatory markers, and covariates. Psychological Medicine.
• Fritz, J. and Stochl, J. and Fried, E. I. and Goodyer, I. M. and van Borkulo, C. D. and Wilkinson, P. O. and van Harmelen, A. -L. Unravelling the complex nature of resilience factors and their changes between early and later adolescence. BMC Med 17, 203 (2019) doi:10.1186/s12916-019-1430-6
• Haslbeck, J. M., Borsboom, D., & Waldorp, L. J. (2019). Moderated network models. Multivariate behavioral research, 1-32.
• Isvoranu, A. M., Guloksuz, S., Epskamp, S., van Os, J., Borsboom, D., & GROUP Investigators. (2019). Toward incorporating genetic risk scores into symptom networks of psychosis. Psychological medicine, 1-8.
• Kalisch, R.*, Cramer, A. O.*, Binder, H., Fritz, J., Leertouwer, I., Lunansky, G., Meyer, B., Timmer, J., Veer, I. M.& Van Harmelen, A. L. (2019). Deconstructing and reconstructing resilience: a dynamic network approach. Perspectives on Psychological Science, 14(5), 765-777.
• Lin, S. Y., Fried, E. I., & Eaton, N. R. (2019). The association of life stress with substance use symptoms: A network analysis and replication. Journal of Abnormal Psychology.
• Letina, S., Blanken, T. F., Deserno, M. K., & Borsboom, D. (2019). Expanding network analysis tools in psychological networks: Minimal spanning trees, participation coefficients, and motif analysis applied to a network of 26 psychological attributes. Complexity. doi:10.1155/2019/9424605
• Lunansky, G., van Borkulo, C., & Borsboom, D. (2019). Personality, resilience, and psychopathology: A model for the interaction between slow and fast network processes in the context of mental health. European Journal of Personality.
• Marsman, M., Sigurdardottir, H., Bolsinova, M., & Maris, G. K. J. (2019). Characterizing the manifest probability distributions of three latent trait models for accuracy and response time. Psychometrika, 84(3), 870-891.
• Marsman, M., Tanis, C. C., Bechger, T. M., & Waldorp, L. J. (2019). Network psychometrics in educational practice. Maximum likelihood estimation of the Curie-Weiss model. In Veldkamp, B. P., & Sluijter, C. (Eds.), Theoretical and Practical Advances in Computer-Based Educational Measurement (pp. 93-120). Springer Nature Switzerland AG. Doi: 10.1007/978-3-030-18480-3_5
• de Ron, J., Fried, E.I. & Epskamp, S. (2019). Psychological networks in clinical populations: Investigating the consequences of Berkson’s bias. Psychological Medicine.
• Savi, A. O., Marsman, M., van der Maas, H. L., & Maris, G. K. (2019). The wiring of intelligence. Perspectives on Psychological Science, 14(6), 1034-1061. Doi: 10.1177/1745691619866447
• Sayans‐Jiménez, P., van Harreveld, F., Dalege, J., & Rojas Tejada, A. J. (2019). Investigating stereotype structure with empirical network models. European Journal of Social Psychology, 49(3), 604-621.
• Sachisthal, M. S., Jansen, B. R., Peetsma, T. T., Dalege, J., van der Maas, H. L., & Raijmakers, M. E. (2019). Introducing a science interest network model to reveal country differences. Journal of Educational Psychology, 111(6), 1063.
• Waldorp, L. J., Marsman, M., & Maris, G. K. J. (2019). Logistic regression and Ising networks: Prediction and estimation when violating lasso assumptions. Behaviormetrika, 46(1), 49–72.
• van Wanrooij, L. L., Borsboom, D., van Charante, E. P. M., Richard, E., & van Gool, W. A. (2019). A network approach on the relation between apathy and depression symptoms with dementia and functional disability. International Psychogeriatrics, 31(11), 1655-1663.

2018:

• Borsboom, D., Cramer, A., & Kalis, A. (2018). Brain disorders? Not really… Why network structures block reductionism in psychopathology research. Behavioral and Brain Sciences. 1-54. doi:10.1017/S0140525X17002266
• Bringmann, L. F., & Eronen, M. I. (2018). Don’t blame the model: Reconsidering the network approach to psychopathology. Psychological Review, 125(4), 606.
• Borsboom, D., Robinaugh, D. J., The Psychosystems Group, Rhemtulla, M., & Cramer, A. O. J. (2018). Robustness and replicability of psychopathology networks. World Psychiatry, 17, 143-144.
• Bos, F. M., Fried, E. I., Hollon, S. D., Bringmann, L. F., Dimidjian, S., DeRubeis, R. J., & Bockting, C. L. (2018). Cross-sectional networks of depressive symptoms before and after antidepressant medication treatment. Social Psychiatry and Psychiatric Epidemiology, 53, 617–627. (R-script)
• Blanken, T. F., Deserno, M. K., Dalege, J., Borsboom, D., Blanken, P., Kerkhof, G. A., & Cramer, A. O. (2018). The role of stabilizing and communicating symptoms given overlapping communities in psychopathology networks. Scientific Reports, 8, 5854, 1-8.
• Briganti, G., Kempenaers, C., Braun, S., Fried, E. I., & Linkowski, P. (2018). Network analysis of empathy items from the Interpersonal Reactivity Index in 1973 young adults. Psychiatry Research 265, 87-92. doi:10.1016/j.psychres.2018.03.082. (Data) (R-script)
• Bringmann, L., Ferrer, E., Hamaker, E., Borsboom, D., & Tuerlinckx, F. (2018). Modeling Nonstationary Emotion Dynamics in Dyads Using a Semiparametric Time-Varying Vector Autoregressive Model. Multivariate Behavioral Research, 50, 730-731.
• Dalege, J., Borsboom, D., van Harreveld, F., & van der Maas, H. L. J. (2018). A network perspective on attitude strength: Testing the connectivity hypothesis. Social Psychological and Personality Science.
• Dalege, J., Borsboom, D., van Harreveld, F., & van der Maas, H. L. (2018). The Attitudinal Entropy (AE) Framework as a General Theory of Individual Attitudes. Psychological Inquiry, 29(4), 175-193.
• Derks, K. P., Burger, J., van Doorn, J. D., Kossakowski, J. J., Atticciati, L., Beitner, J., . . . Wagenmakers, E. J. (2018). Network models to organize a dispersed literature: The case of misunderstanding analysis of covariance. Journal of European Psychology Students, 9, 48-57. 
• Epskamp, S., Maris, G., Waldorp, L. J., & Borsboom, D. (2018). Network psychometrics. In: Irwing, P., Hughes, D., & Booth, T. (Eds.), Handbook of Psychometrics. New York: Wiley.
• Epskamp, S., Fried, E. I., van Borkulo, C. D., Robinaugh, D. J., Marsman, M., Dalege, J., … & Cramer, A. O. (2018). Investigating the utility of fixed-margin sampling in network psychometrics. Multivariate behavioral research, 1-15. 
• Epskamp, S., & Fried, E. I. (2018). A tutorial on regularized partial correlation networks. Psychological Methods. doi:10.1037/met0000167
• Epskamp, S., Waldorp, L. J., Mõttus, R., & Borsboom, D. (2018). The Gaussian Graphical Model in Cross-Sectional and Time-Series Data. Multivariate Behavioral Research, 0, 1-28. doi:10.1080/00273171.2018.1454823
• Fonseca-Pedrero, E., Ortuño, J., Debbané, M., Chan, R. C., Cicero, D., Zhang, L. C., … & Barrantes-Vidal, N. (2018). The Network Structure of Schizotypal Personality Traits. Schizophrenia Bulletin, 44, 1-12. doi:10.1093/schbul/sby044
• Fried, E. I., Eidhof, M. B., Palic, S., Costantini, G., Huisman-van Dijk, H. M., Bockting, C. L., … & Karstoft, K. I. (2018). Replicability and Generalizability of Posttraumatic Stress Disorder (PTSD) Networks: A Cross-Cultural Multisite Study of PTSD Symptoms in Four Trauma Patient Samples. Clinical Psychological Science, 6, 335–351.
• Fritz, J., Fried, E. I., Goodyer, I. M., Wilkinson, P. O., & Van Harmelen, A. L. (2018). A Network Model of Resilience Factors for Adolescents with and without Exposure to Childhood Adversity, 8(1), 1-13.
• Greene, T., Gelkopf, M., Epskamp, S., & Fried, E. (2018). Dynamic networks of PTSD symptoms during conflict. Psychological Medicine, 2018, 1-9. doi:10.1017/ S0033291718000351
• Haslbeck, J. M., & Waldorp, L. J. (2018). How well do network models predict observations? On the importance of predictability in network models. Behavior Research Methods, 50, 853-861.
• Hoekstra, R. H. A., Kossakowski, J.J. & van der Maas, H. L. J. (2018). Psychological Perturbation Data on Attitudes Towards the Consumption of Meat. Journal of Open Psychology Data, 6(1).
• Kendler, K. S., Aggen, S. H., Flint, J., Borsboom, D., & Fried, E. I. (2018). The centrality of DSM and non-DSM depressive symptoms in Han Chinese women with major depression. Journal of Affective Disorders, 227, 739-744.
• Kossakowski, J. J., & Cramer, A. O. (2018). Complexity, chaos and catastrophe: modeling psychopathology as a dynamic system. Frontiers of Cognitive Psychology ed Vitevitch M., editor.(London: Taylor & Francis, 1-29.
• Oreel, T. H., Borsboom, D., Epskamp, S., Hartog, I. D., Netjes, J. E., Nieuwkerk, P. T., Henriques, J. P. S., Scherer-Rath, M., van Laarhoven, H. W. M., & Spranger, M. A. G. (2018). The dynamics in health-related quality of life of patients with stable coronary artery disease were revealed: a network analysis. Journal of Clinical Epidemiology, 107, 116-123. https://doi.org/10.1016/j.jclinepi.2018.11.022
• Rouquette, A., Pingault, J., Fried, E. I., Orri, M., Falissard, B. Kossakowski, J. J., Vitaro, F., Tremblay, R., Cote, S. M., & Borsboom, D. (2018). Emotional and behavioral symptom network structure in elementary school girls and association with anxiety disorders and depression in adolescence and early adulthood. JAMA Psychiatry, doi:10.1001/jamapsychiatry.2018.2119.
• Santos Jr, 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:e0191675.
• Scheffer, M., Bolhuis, J. E., Borsboom, D., Buchman, T. G., Gijzel, S. M., Goulson, D., … & Martin, C. M. (2018). Quantifying resilience of humans and other animals. Proceedings of the National Academy of Sciences, 115(47), 11883-11890. https://doi.org/10.1073/pnas.1810630115. 
• Schweren, L., van Borkulo, C. D., Fried, E., & Goodyer, I. M. (2018). Assessment of symptom network density as a prognostic marker of treatment response in adolescent depression. JAMA Psychiatry, 75, 98-100.
• van Bork, R., van Borkulo, C. D., Waldorp, L. J., Cramer, A. O., & Borsboom, D. (2018). Network models for clinical psychology. Stevens’ Handbook of Experimental Psychology and Cognitive Neuroscience, 5, 1-35.
• van Rooijen, G., Isvoranu, A. M., Kruijt, O. H., van Borkulo, C. D., Meijer, C. J., Wigman, J. T., … & Kahn, R. S. (2018). A state-independent network of depressive, negative and positive symptoms in male patients with schizophrenia spectrum disorders. Schizophrenia Research, 193, 232-239. (R-script in supplements)
• von Stockert, S. H., Fried, E. I., Armour, C., & Pietrzak, R. H. (2018). Evaluating the stability of DSM-5 PTSD symptom network structure in a national sample of US military veterans. Journal of Affective Disorders, 229, 63-68.
• Verschuere, B., van Ghesel Grothe, S., Waldorp, L., Watts, A. L., Lilienfeld, S. O., Edens, J. F., … & Noordhof, A. (2018). What features of psychopathy might be central? A network analysis of the Psychopathy Checklist-Revised (PCL-R) in three large samples. Journal of Abnormal Psychology, 127, 51-65.
• Waldorp, L., Marsman, M., & Maris, G. (2018). Logistic regression and Ising networks: prediction and estimation when violating lasso assumptions. Behaviormetrika, 1-24.
• Werner, M., Štulhofer, A., Waldorp, L., & Jurin, T. (2018). A network approach to hypersexuality: insights and clinical implications. The journal of Sexual Medicine, 15, 373-386.

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.
• Borsboom, D., & Wijsen, L. D. (2017). Psychology’s atomic bomb. Assessment in Education: Principles, Policy, and Practice, 24, 440-446.
• 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. Journal of Abnormal Psychology, 126, 989–999.
• Bringmann, L. F., Hamaker, E. L., Vigo, D. E., Aubert, A., Borsboom, D., & Tuerlinckx, F. (2017). Changing dynamics: Time-varying autoregressive models using generalized additive modeling. Psychological Methods, 22, 409-425.
• 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, 8, 528-537.
• 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, 1-11.
• Deserno, M. K., Borsboom, D., Begeer, S., & Geurts, H. M. (2017). Relating ASD symptoms to well-being: Moving across different construct levels. Psychological Medicine 48, 1179-1189. doi:10.1017/S0033291717002616
• De Beurs, D., van Borkulo, C. D., O‘Connor, R.C. (2017). Association between suicidal symptoms and repeat suicidal behaviour within a sample of hospital-treated suicide attempters. British Journal of Psychiatry Open, 3, 120-126. doi: 10.1192/bjpo.bp.116.004275.
• Epskamp, S., Rhemtulla, M.T., & Borsboom, D. (2017). Generalized network psychometrics: combining network and latent variable models. Psychometrika, 82, 904-927. 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, 50, 195-212. doi:10.3758/s13428-017-0862-1 
• Epskamp, S., Kruis, J., & Marsman, M. (2017). Estimating psychopathological networks: be careful what you wish for. PlosOne  12, 1-13.
• Epskamp, S., van Borkulo, C. D., van der Veen, D. C., Servaas, M. N., Isvoranu, A. M., Riese, H., & Cramer, A. O. (2017). Personalized network modeling in psychopathology: The importance of contemporaneous and temporal connections. Clinical Psychological Science, 6, 416-417. doi:10.1177/2167702617744325
• Fried, E. I. (2017). Psychopathological Networks. In A. E. Wenzel (Ed.), The SAGE encyclopedia of abnormal and clinical psychology. New York, NY: SAGE Publications.
• Fried, E. I. & Cramer, A. O. J. (2017). Moving forward: challenges and directions for psychopathological network theory and methodology. Perspectives on Psychological Science, 12, 999-1020.
• 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, 1-10.
• Fried, E. I. (2017). The 52 symptoms of major depression: lack of content overlap among seven common depression scales. Journal of Affective Disorders, 208, 191-197.
• Fried, E. I. (2017). Moving forward: How depression heterogeneity hinders progress in treatment and research” Expert Review of Neurotherapeutics, 2017, 423-425.
• Fried, E. I. (2017). What are psychological constructs? On the nature and statistical modelling of emotions, intelligence, personality traits and mental disorders. Health Psychology Review, 11, 130-134.
• Golino, H. F. & Epskamp, S. (2017). Exploratory graph analysis: a new approach for estimating the number of dimensions in psychological research. Plos One, 12, 1-26.
• Haslbeck J. M. B., Fried E. I. (2017). How predictable are symptoms in psychopathological networks? A Reanalysis of 18 published datasets. Psychological Medicine, 47, 2767-2776.
• Heino, M. T. J., Fried, E. I., & LeBel, E. P. (2017). Commentary: Reproducibility in Psychological Science:When Do Psychological Phenomena Exist? Frontiers in Psychology, 8:1004. doi: 10.3389/fpsyg.2017.01004.
• Isvoranu, A. M., Boyette, L.L., Guloksuz, S., Borsboom, D. (2017). Network Models of Psychosis. Submitted in Dimension of Psychosis. Oxford, United Kingdom: Oxford University Press.
• Isvoranu, A. M., van Borkulo, C. D., Boyette, L. L., Wigman, J. T. W., Vinkers, C. H., Borsboom, D. (2017). A Network Approach to Psychosis: Pathways Between Childhood Trauma and Psychotic Symptoms. Schizophrenia Bulletin, 43, 187-196.
• Kendler, K. S., Aggen, S. H., Flint, J., Borsboom, D., & Fried, E. I. (2017). The centrality of DSM and non-DSM depressive symptoms in Han Chinese women with Major Depression. Journal of Affective Disorders, 227, 739-744.
• Kroeze, R., van der Veen, D. C., Servaas, M. N., Bastiaansen, J. A., Oude Voshaar, R. C., Borsboom, D., Ruhe, H. G., Schoevers, R. A., & Riese, H. (2017). Personalized feedback on symptom dynamics of psychopathology: A proof-of-principle study. Journal for Person-Oriented Research, 3, 1-10.
• 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, doi:10.5334/jopd.29. (Data)
• Marsman, M., Borsboom, D., Kruis, J., Epskamp, S., van Bork, R., Waldorp, L. J., van der Maas, H. L. J., & Maris, G. (2017). An introduction to Network Psychometrics: Relating Ising Network Models to Item Response Theory models. Multivariate Behavioral Research, 7, 1-21.
• Miloyan, B. & Fried, E. I. (2017). A reassessment of the relationship between depression and all-cause mortality in 3,604,005 participants from 293 studies. World Psychiatry, 16, 219-220.
• Santos, H., Fried, E. I., Asafu-Adjei, J., & Ruiz, J. (2017). Network Structure of Perinatal Depressive Symptoms in Latinas: Relationship to Stress-Related and Reproductive Biomarkers. Research in Nursing & Health, 40, 218-228..
• Murphy, J., McBride, O., Fried, E. I., & Shevlin, M. (2017). Distress, impairment and the extended psychosis phenotype: A network analysis of psychotic experiences in a US general population sample. Schizophrenia Bulletin, 1-10. doi:10.1093/schbul/sbx134.
• Dejonckheere, E., Brock, B., Fried, E. I., Murphy, S., & Kuppens, P. (2017). Perceiving social pressure not to feel negative predicts depressive symptoms in daily life. Depression and Anxiety, 34, 836-844.
• Rhemtulla, M., Borsboom, D., & van Bork, R. (2017). How to measure nothing. Measurement: Interdisciplinary Research and Perspectives, 15, 95-97.
• Van Bork, R., Epskamp, S., Rhemtulla, M., Borsboom, D., & van der Maas, H. L. J. (2017). What is the p-factor of psychopathology? Some risks of general factor modeling. Theory & Psychology, 27, 759-773.
• Van Loo, H. M., van Borkulo, C. D., Peterson, R. E., Fried, E. I., Aggen, S. H., Borsboom, D., & Kendler, K. S. (2017). Robust symptom networks in recurrent major depression across different levels of genetic and environmental risk. Journal of Affective Disorders, 227, 313-322.
• van Rooijen, G., Isvoranu, A. M., Meijer, C. J., van Borkulo, C. D., Ruhé, H. G., & de Haan, L. (2017). A symptom network structure of the psychosis spectrum. Schizophrenia Research, 189, 75-83.

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, 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, 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, 125, 599-606.
• 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, 23, 425-435.
• 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, 22, 409.
• 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, 11, 1-20. (Code)
• 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, 21, 960-971.
• 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, 28, 1354–1367. (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, 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, 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, 781-792.  (R-script).
• Kruis, J. & Maris, G. (2016). Three representations of the Ising model. Scientific Reports, 6,  1-11. 
• 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. (2016). Slowing down as recovery as genetic risk marker for acute severity transitions in chronic diseases. Critical Care Medicine, 44, 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, 25, 267-276. (Data & Code)
• Van Borkulo, C. D., Borsboom, D. & Schoevers, R.A. (2016). Group-level symptom networks in depression — Reply. JAMA Psychiatry, 73, 411-412.
• 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, 1-12. 
• 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, 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, 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)
• McNally, R. J., Robinaugh, D. J., Wu, G. W., Wang, L., Deserno, M. K., & Borsboom, D. (2015). Mental disorders as causal systems: A network approach to posttraumatic stress disorder. Clinical Psychological Science, 3, 836-849.
• Schmittmann, V. D., Jahfari, S., Borsboom, D., Savi, A.O., Waldorp, L. J. (2015). Making large-scale networks from fMRI data. PLoS One 10, 1-32.
• 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, 72, 1219-1226. 
• 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, 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, 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, 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, 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, 1-10.
• 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, 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, 1-13. (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, 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:
  • Cramer, A. O. J., van der Sluis, S., Noordhof, A., Wicherts, M., Geschwind, N., Aggen, S. H., Kendler, K. S., & Borsboom, D. (2012). Measurable like temperature or mereological like flocking? On the nature of personality traits. European Journal of Personality, 26, 451-459.
• 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, 1-11. (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, 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.
• Schuurman, N. K. (2010). Exploratory time series modeling of individuals with burn-out. Unpublished internship report.

Pre 2010:

• Borsboom, D. (2008). Psychometric perspectives on diagnostic systems. Journal of Clinical Psychology, 64, 1089-1108.