The Heider balance and the looking-glass self: modelling dynamics of social relations

Krawczyk, Małgorzata J.; Wołoszyn, M.; Gronek, Piotr; Kułakowski, K.; Mucha, Janusz

doi:10.1038/s41598-019-47697-1

Cited by 27 publications

(15 citation statements)

References 44 publications

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“…The cortical motor system functions abnormally in understanding actions in ASD and abnormally in shaping actions in addictive disorders. [30][31][32][33] Therefore, abnormalities in the cortical motor system may explain motor cognition commonalities in ASD and SUD, suggesting an association between ASD and SUD. 10 In a previous population-based study, patients with ASD and comorbid ADHD had a higher risk of SUD than non-ASD controls.…”

Section: Discussionmentioning

confidence: 99%

Risk of Substance Use Disorder and Its Associations With Comorbidities and Psychotropic Agents in Patients With Autism

et al. 2021

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The risk of substance use disorder (SUD) in patients with autism spectrum disorder (ASD) remains unclear.OBJECTIVE To investigate the risk of SUD in patients with ASD and its associations with comorbidities, psychotropic agents (PAs), and mortality. DESIGN, SETTING, AND PARTICIPANTSThis retrospective, population-based, cohort study of 1 936 512 participants used data from the Taiwan National Health Insurance Research Database and was conducted from January 1, 2000, to December 31, 2015. Included participants attended at least 3 outpatient visits within the 1-year study period for symptomatic ASD as determined by the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnostic codes. Individuals diagnosed with ASD before 2000, those diagnosed with SUD before the first visit for ASD, and those with missing data were excluded from the analysis. Patients with ASD and non-ASD controls were matched 1:4 by age, sex, and index date.EXPOSURES Symptomatic ASD evaluated for at least 3 outpatient visits within the 1-year study period.MAIN OUTCOMES AND MEASURES Adjusted hazard ratios (aHRs) with 95% CIs for SUD, including alcohol use disorder (AUD) and drug use disorder (DUD), and the risk of mortality were calculated. Data were analyzed from March 1 to July 13, 2020. RESULTS A total of 6599 individuals with ASD (mean [SD] age, 11.9 [5.1] years; 5094 boys [77.2%]; mean [SD] follow-up period, 8.1 [8.3] years; median follow-up period, 4.3 [interquartile range [IQR], 2.3-5.3] years) and 26 396 controls (mean [SD] age, 12.1 [5.8] years; 20 376 boys [77.2%]; mean [SD] follow-up period, 8.6 [8.9] years; median follow-up period, 4.4 [IQR, 2.4-5.4] years) were enrolled in the study.According to multivariableadjusted analysis, the aHRs for SUD (2.33; 95% CI, 1.89-2.87), AUD (2.07; 95% CI, 1.60-2.63), and DUD (3.00; 95% CI, 2.15-4.58) were significantly higher in the ASD group than in the non-ASD controls. The aHRs for SUD in the ASD subgroups with 1 PA (0.60; 95% CI, 0.43-0.66) and with multiple PAs (0.37; 95% CI, 0.28-0.49) were significantly lower than those in the ASD subgroup with no PAs. Comparisons between patients with ASD and non-ASD controls with the same comorbidities showed higher aHRs for SUD among patients with ASD (range, 1.17-2.55); moreover, the ASD subgroup not receiving any PAs had an aHR of 6.39 (95% CI, 5.11-7.87) for SUD when they had comorbid tic disorder and aHRs of 5.48 (95% CI, 5.12-5.70) for AUD and 5.42 (95% CI, 5.12-5.80) for DUD when they had comorbid impulse control disorder. The mortality risk was significantly higher in patients with ASD and concomitant SUD than in non-ASD controls without SUD (aHR, 3.17; 95% CI, 2.69-3.89).CONCLUSIONS AND RELEVANCE These findings suggest that patients with ASD are vulnerable to the development of SUD. Comorbid ASD and SUD were associated with an increase in mortality risk.

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Section: Discussionmentioning

confidence: 99%

Risk of Substance Use Disorder and Its Associations With Comorbidities and Psychotropic Agents in Patients With Autism

et al. 2021

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“…Since then, the integration was immediate. Actually, the concept of Heider balance has been used in many different models and contexts [40][41][42]. This is an indication that the discrete approach works better.…”

Section: Discussionmentioning

confidence: 99%

The Spread of Ideas in a Network—The Garbage-Can Model

Żuchowska-Skiba

Stojkow

Krawczyk

et al. 2021

Entropy

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The main goal of our work is to show how ideas change in social networks. Our analysis is based on three concepts: (i) temporal networks, (ii) the Axelrod model of culture dissemination, (iii) the garbage can model of organizational choice. The use of the concept of temporal networks allows us to show the dynamics of ideas spreading processes in networks, thanks to the analysis of contacts between agents in networks. The Axelrod culture dissemination model allows us to use the importance of cooperative behavior for the dynamics of ideas disseminated in networks. In the third model decisions on solutions of problems are made as an outcome of sequences of pseudorandom numbers. The origin of this model is the Herbert Simon’s view on bounded rationality. In the Axelrod model, ideas are conveyed by strings of symbols. The outcome of the model should be the diversity of evolving ideas as dependent on the chain length, on the number of possible values of symbols and on the threshold value of Hamming distance which enables the combination.

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“…and by summing over all the E ijk the energy of the whole network can be obtained (Krawczyk et al, 2019).…”

Section: Frustration In Interaction Networkmentioning

confidence: 99%

Stability of Imbalanced Triangles in Gene Regulatory Networks of Cancerous and Normal Cells

et al. 2021

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Genes communicate with each other through different regulatory effects, which lead to the emergence of complex network structures in cells, and such structures are expected to be different for normal and cancerous cells. To study these differences, we have investigated the Gene Regulatory Network (GRN) of cells as inferred from RNA-sequencing data. The GRN is a signed weighted network corresponding to the inductive or inhibitory interactions. Here we focus on a particular of motifs in the GRN, the triangles, which are imbalanced if the number of negative interactions is odd. By studying the stability of imbalanced triangles in the GRN, we show that the network of cancerous cells has fewer imbalanced triangles compared to normal cells. Moreover, in the normal cells, imbalanced triangles are isolated from the main part of the network, while such motifs are part of the network's giant component in cancerous cells. Our result demonstrates that due to genes' collective behavior the structure of the complex networks is different in cancerous cells from those in normal ones.

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The Heider balance and the looking-glass self: modelling dynamics of social relations

Cited by 27 publications

References 44 publications

Risk of Substance Use Disorder and Its Associations With Comorbidities and Psychotropic Agents in Patients With Autism

Risk of Substance Use Disorder and Its Associations With Comorbidities and Psychotropic Agents in Patients With Autism

The Spread of Ideas in a Network—The Garbage-Can Model

Stability of Imbalanced Triangles in Gene Regulatory Networks of Cancerous and Normal Cells

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