**5. Conclusions**

The present study has shown, through network analysis, connections between AUD diagnostic criteria and personality facets. It has been observed that the bridge nodes correspond to facets associated with the disinhibition and antagonism personality domains of the AMPD. This finding is congruen<sup>t</sup> with the results of previous studies using the FFM model and applying other statistical techniques. This finding also helps to understand the comorbidities observed between AUD, borderline, and antisocial personality disorder. From a clinical perspective, the results indicate the importance of accurately assessing the risk-taking, callousness, and irresponsibility traits in patients with AUD, in order to differentiate between a possible primary personality disorder, or the existence of a syndrome induced by alcohol addiction. In addition, the observed connections may be useful to guide the development of interventions aimed at dual-pathology patients with AUD and PD.

**Supplementary Materials:** The following supporting information can be downloaded at: https:// www.mdpi.com/article/10.3390/jcm11123468/s1, Figure S1: Simulation results using the estimated network adjusted to a real network structure for the complete sample (*n* = 985). From left to right this shows the correlation between the real network and the estimated network. The sensitivity (real positive rate). The specificity (real negative rate). And the correlation of the Strength and Expected Influence measures of centrality between the real network and the estimated network; Figure S2: Stability plot of the Strength of the network for the complete sample (*n* = 985). La línea representa la media de correlaciones entre un determinado porcentaje de la muestra y el total de la muestra y las sombras representan el área entre el 2.5% y el 97.5% de las correlaciones estimadas; Figure S3: Stability plot of the one-step Expected Influence of the network for the complete sample (*n* = 985). La línea representa la media de correlaciones entre un determinado porcentaje de la muestra y el total de la muestra y las sombras representan el área entre el 2.5% y el 97.5% de las correlaciones estimadas.

**Author Contributions:** Conceptualization: Ó.M.L.-R., M.N.-C., A.B.-M., D.D.-S.-S; Methodology: A.D.l.R.-C., Ó.M.L.-R., B.M.G.-P., C.M.-V., L.T.-R., N.R.-P.-P.; Formal analysis: A.D.l.R.-C., A.P.-G.; Writing original draft: all authors; Writing-review and editing: all authors. All authors have read and agreed to the published version of the manuscript.

**Funding:** This work was supported by the gran<sup>t</sup> "Network-Psyco: Modelización a través de redes empíricas de las conexiones entre facetas y rasgos psicológicos", project UHU-1257470 on Programa Operativo FEDER Andalucía 2014–2020, provided by Fondo Europeo de Desarrollo Regional (EU) and Junta de Andalucía (Spain) and by Ministry of Universities of the Government of Spain (FPU2019/00144).

**Institutional Review Board Statement:** The study was conducted in accordance with the Declaration of Helsinki, and approved by the Bioethics Committee of Biomedical Research of Andalusia (Spain) (file number PI 040/18).

**Informed Consent Statement:** Informed consent was obtained from all subjects involved in the study.

**Data Availability Statement:** Database should be requested to the correspondence author.

**Conflicts of Interest:** The authors declare no conflict of interest.
