{"title":"Social relationships in children: favourable influence of activities promoting self-awareness and empathic interaction","authors":"Natalia Carro;Marcelo Kuperman;Paola D'adamo;Mariana Lozada;Johann Martinez","doi":"10.1093/comnet/cnab049","DOIUrl":null,"url":null,"abstract":"Embodied and intersubjective experience is crucial to the social cognition processes on which interpersonal relationships are based. We assessed whether promoting these processes through participation in self-awareness and empathic interaction activities can influence social integration among peers in 7- to 8-year-old children. The intervention, conducted in a school context, included mindfulness-based practices (favouring self-awareness), empathic collaboration activities and perspective-taking instances (promoting other-oriented awareness). To evaluate social integration levels, children were asked to complete a sociometric questionnaire, each listing the peers they would choose to play with (positive ties) and those they would prefer not to play with (negative ties). Based on this relational data, two types of directed networks were constructed: positive networks (PN) and negative networks (NN), in two temporal instances (pre- and post-intervention). In both the experimental and waitlist groups, pre–post intervention changes in the topology of peer social networks were evaluated by analysing global network properties such as connectivity, degree distribution, density, reciprocity, transitivity and modular structure. Our findings showed that after participating in the intervention social integration was improved, reflected in increased general interconnection of positive ties: greater average connectivity and density in PN, more equitably distributed choices (no evident leadership), greater cohesion and an increase in the number of reciprocal interactions. Additionally, we found a lower level of social rejection; that is, lower average connectivity and density in NN, the persistence of only mutual negative choices and negative ties confined to small groups. These findings were not observed in the waitlist group. This study demonstrates how participation in an intervention that promotes social cognition processes can influence the structure of peer social networks, favouring social integration. The social network analysis provides quantitative evidence of the plasticity of social relationships in children, constituting a valuable tool for the assessment of this kind of intervention at a group level.","PeriodicalId":15442,"journal":{"name":"Journal of complex networks","volume":"10 1","pages":"1-15"},"PeriodicalIF":2.2000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of complex networks","FirstCategoryId":"100","ListUrlMain":"https://ieeexplore.ieee.org/document/9717036/","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 2
Abstract
Embodied and intersubjective experience is crucial to the social cognition processes on which interpersonal relationships are based. We assessed whether promoting these processes through participation in self-awareness and empathic interaction activities can influence social integration among peers in 7- to 8-year-old children. The intervention, conducted in a school context, included mindfulness-based practices (favouring self-awareness), empathic collaboration activities and perspective-taking instances (promoting other-oriented awareness). To evaluate social integration levels, children were asked to complete a sociometric questionnaire, each listing the peers they would choose to play with (positive ties) and those they would prefer not to play with (negative ties). Based on this relational data, two types of directed networks were constructed: positive networks (PN) and negative networks (NN), in two temporal instances (pre- and post-intervention). In both the experimental and waitlist groups, pre–post intervention changes in the topology of peer social networks were evaluated by analysing global network properties such as connectivity, degree distribution, density, reciprocity, transitivity and modular structure. Our findings showed that after participating in the intervention social integration was improved, reflected in increased general interconnection of positive ties: greater average connectivity and density in PN, more equitably distributed choices (no evident leadership), greater cohesion and an increase in the number of reciprocal interactions. Additionally, we found a lower level of social rejection; that is, lower average connectivity and density in NN, the persistence of only mutual negative choices and negative ties confined to small groups. These findings were not observed in the waitlist group. This study demonstrates how participation in an intervention that promotes social cognition processes can influence the structure of peer social networks, favouring social integration. The social network analysis provides quantitative evidence of the plasticity of social relationships in children, constituting a valuable tool for the assessment of this kind of intervention at a group level.
期刊介绍:
Journal of Complex Networks publishes original articles and reviews with a significant contribution to the analysis and understanding of complex networks and its applications in diverse fields. Complex networks are loosely defined as networks with nontrivial topology and dynamics, which appear as the skeletons of complex systems in the real-world. The journal covers everything from the basic mathematical, physical and computational principles needed for studying complex networks to their applications leading to predictive models in molecular, biological, ecological, informational, engineering, social, technological and other systems. It includes, but is not limited to, the following topics: - Mathematical and numerical analysis of networks - Network theory and computer sciences - Structural analysis of networks - Dynamics on networks - Physical models on networks - Networks and epidemiology - Social, socio-economic and political networks - Ecological networks - Technological and infrastructural networks - Brain and tissue networks - Biological and molecular networks - Spatial networks - Techno-social networks i.e. online social networks, social networking sites, social media - Other applications of networks - Evolving networks - Multilayer networks - Game theory on networks - Biomedicine related networks - Animal social networks - Climate networks - Cognitive, language and informational network