Borsboom D: A Network Theory of Mental Disorders. World Psychiatry: Official Journal of the World Psychiatric Association (WPA) 2017; 16 5-13. doi:10.1002/wps.20375
Borsboom D, Deserno MK, Rhemtulla M, Epskamp S, Fried EI & McNally RJ: Network Analysis of Multivariate Data in Psychological Science. Nature Reviews Methods Primers 2021; 1 1-18. doi 10.1038/s43586-021-00055-w
Briganti G, Zcutari M & Linkowski P: A Machine Learning Approach to Relationships Among Alexithymia Components. Psychiatr Danub 2020; 32 Suppl 1 180-87
Briganti G, Williams DR, Mulder J & Linkowski P: Bayesian network structure and predictability of autistic traits. Psychological Reports 2020; 20200033294120978159
Christensen AP, Garrido LE & Golino H: Unique Variable Analysis: A Novel Approach for Detecting Redundant Variables in Multivariate Data. preprint. PsyArXiv 2020. doi:10.31234/osf.io/4kra2
Christensen AP & Golino H: Estimating the Stability of Psychological Dimensions via Bootstrap Exploratory Graph Analysis: A Monte Carlo Simulation and Tutorial. Psych 2021; 3 47-500. doi 10.33 0/psych3030032
Christensen AP, Golino H & Silvia PJ: A Psychometric Network Perspective on the Validity and Validation of Personality Trait Questionnaires. European Journal of Personality 2020; 34 10 5-1108. doi 10.1002/per.2265
Conners CK, Sitarenios G, Parker JDA & Epstein JN: Revision and restandardization of the Conners Teacher Rating Scale (CTRS-R): factor structure, reliability, and criterion validity. Journal of abnormal child psychology 1998; 26 27 - 1
Edwards MC, Houts CR & Cai L: A diagnostic procedure to detect departures from local independence in item response theory models. Psychological Methods 2018; 23 138-4 . doi 10.1037/met0000121
Epskamp S, Borsboom D & Fried EI: Estimating Psychological Networks and Their Accuracy: A Tutorial Paper. Behavior Research Methods 2018; 50 1 5-212. doi:10.3758/s13428-017-0862-1
Farhat LC, Brentani H, de Toledo VHC, Shephard E, Mattos P et al.: ADHD and Autism Symptoms in Youth: A Network Analysis. Journal of Child Psychology and Psychiatry 2022; 63 143-51. doi 10.1111/jcpp.13436
Golino H, Christensen AP & Garrido LE: Exploratory Graph Analysis in Context, 2022
Golino HF & Epskamp S: Exploratory Graph Analysis: A New Approach for Estimating the Number of Dimensions in Psychological Research. edited by M. Voracek. PLOS ONE 2017; 12:e0174035. doi:10.1371/journal.pone.0174035
Golino H, Shi D, Christensen AP & Garrido LE: Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: A simulation and tutorial. Psychological Methods 2020; 25 2 2-320. doi 10.1037/met0000255
Green M, Wong M, Atkins D, Taylor J & Feinleib M: Diagnosis of Attention-Deficit/Hyperactivity Disorder. Rockville (MD): Agency for Health Care Policy and Research (US), 1999
Hallquist MN, Wright AGC & Molenaar PCM: Problems with Centrality Measures in Psychopathology Symptom Networks: Why Network Psychometrics Cannot Escape Psychometric Theory. Multivariate Behavioral Research 2021; 56:1-223. doi 10.1080/00273171.201 .1640103
Leising D, Burger J, Zimmermann J, Bäckström M, Joshua R. et al.: Why Do Items Correlate with One Another? A Conceptual Analysis with Relevance for General Factors and Network Models, 2020
Parry TS: 12. Assessment of Developmental Learning and Behavioural Problems in Children and Young People. Medical Journal of Australia 2005; 183 43-48. doi:10.5694/j.1326-5377.2005.tb06892.x
Peralta V, Gil-Berrozpe GJ, Sánchez-Torres A & Cuesta MJ: The Network and Dimensionality Structure of Affective Psychoses: An Exploratory Graph Analysis Approach. Journal of Affective Disorders 2020; 277:182-1. doi:10.1016/j.jad.2020.08.008
Pérez M-E & Pericchi LR: Changing Statistical Significance with the Amount of Information: The Adaptive α Significance Level. Statistics & Probability Letters 2014; 85 20-24. doi 10.1016/j.spl.2013.10.018
Pons P & Latapy M: Computing communities in large networks using random walks. P. 284-3 in International symposium on computer and information sciences. Springer 2005
Preszler J & Burns GL: Network Analysis of ADHD and ODD Symptoms: Novel Insights or Redundant Findings with the Latent Variable Model? Journal of Abnormal Child Psychology 2019; 47 15-1610. doi:10.1007/s10802-019-00549-y
Shaw M, Hodgkins P, Caci H, Young S, Kahle J et al.: A Systematic Review and Analysis of Long-Term Outcomes in Attention Deficit Hyperactivity Disorder: Effects of Treatment and Non-Treatment. BMC Medicine 2012; 10:99. doi:10.1186/1741-7015-10-99
Silk TJ, Malpas CB, Beare R, Efron D, Anderson V, et al.: A Network Analysis Approach to ADHD Symptoms: More than the Sum of Its Parts. edited by S. E. Medland. PLOS ONE 2019; 14:e0211053. doi:10.1371/journal.pone.0211053
Till AC, Florquin R, Delhaye M, Kornreich C, Williams DR & Briganti G: A network perspective on abnormal child behavior in primary school students. Psychological Reports 2022; 00332941221077907. doi:10.1177/00332941221077907
Willcutt EG: The Prevalence of DSM-IV Attention-Deficit/Hyperactivity Disorder: A Meta-Analytic Review. Neurotherapeutics 2012; 4 0-. doi 10.1007/s13311-012-0135-8
Zhang B & Horvath S: A general framework for weighted gene coexpression network analysis. in Statistical Applications in Genetics and Molecular Biology 4: Article 17, 2005
