Mania, Panic, Claustrophobia, and Low Well-Being Bridge emerged as bridge symptoms, connecting the two substructures. Exploratory graphic analysis of modularity yielded an optimal solution of two communities on estimation sample: first linked to symptoms of depression and anxiety and second grouping symptoms of bipolar disorder and obsessive – compulsive disorder. Four local inference measures were estimated: Strength, one-step Expected Influence, two-step Expected Influence, and node predictability. The detection of community structures was carried out on estimation sample using the walktrap algorithm. The sample was randomly divided into two sub-samples: estimation sample ( n = 1010) and replication sample ( n = 1011). 14.79% ( n = 299) of the sample met the diagnostic criteria for at least one DSM-5 mental disorder and 5.29% ( n = 107) had diagnostic comorbidity. A mixed sample ( n = 2021) of 1692 community adults and 329 patients was used. This paper aims to analyze the structure of symptoms evaluated with the Inventory of Depression and Anxiety Symptoms-II (IDAS-II) with network analysis. According to the literature, comorbidity rates observed on emotional disorders are linked to how the main diagnostic classification systems have traditionally defined these disorders.
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