An empirical study on social network analysis for small residential communities in Gangwon State, South Korea.

Social Network Analysis (SNA) provides a dynamic framework for examining interactions and connections within networks, elucidating how these relationships impact behaviors and outcomes. This study targeted small residential communities in Gangwon State, South Korea, to explore network formation theories and derive strategies for enhancing health promotion services in rural communities. Conducted in 12 small residential areas, the survey led to a network categorization model distinguishing networks as formal, informal, or non-existent. Key findings demonstrated that demographic and socio-economic factors, specifically age, income, living environment, leisure activities, and education level, significantly influence network formation. Importantly, age, environmental conditions, satisfaction with public transportation, and walking frequency were closely associated with the evolution of formal networks. These results highlight the importance of early community network assessments, which must consider distinct network traits to develop effective health promotion models. Utilizing SNA early in the assessment process can improve understanding of network dynamics and optimize the effectiveness of health interventions.

Associations between social network addiction, anxiety symptoms, and risk of metabolic syndrome in Peruvian adolescents-a cross-sectional study.

Background: The link between physical and mental health and screen time in adolescents has been the subject of scientific scrutiny in recent years. However, there are few studies that have evaluated the association between social network addiction (SNA) and metabolic risk in this population. Objective: This study determined the association between SNA and anxiety symptoms with the risk of metabolic syndrome (MetS) in adolescents. Methods: A cross-sectional study was conducted in Peruvian adolescents aged 12 to 18 years, who completed a Social Network Addiction Questionnaire and the Generalized Anxiety Disorder 2-item scale (GAD-2), between September and November 2022. A total of 903 participants were included in the study using a non-probability convenience sample. Sociodemographic and anthropometric data were also collected. Binary logistic regression was used to explore the association between SNA and anxiety symptoms with MetS in a cross-sectional analysis. Results: Males were more likely to have MetS than females (OR = 1.133, p = 0.028). Participants who were 16 years of age or older and those with excess body weight were 2.166, p = 0.013 and 19.414, p < 0.001 times more likely to have MetS, respectively. Additionally, SNA (OR = 1.517, p = 0.016) and the presence of anxiety symptoms (OR = 2.596, p < 0.001) were associated with MetS. Conclusion: Our findings suggest associations between SNA, anxiety symptoms, and MetS among youth. However, more studies are needed to better understand this association and to deepen the possible clinical and public health implications.

Disentangling associations between pubertal development, healthy activity behaviors, and sex in adolescent social networks.

With the onset of puberty, youth begin to choose their social environments and develop health-promoting habits, making it a vital period to study social and biological factors contextually. An important question is how pubertal development and behaviors such as physical activity and sleep may be differentially linked with youths' friendships. Cross-sectional statistical network models that account for interpersonal dependence were used to estimate associations between three measures of pubertal development and youth friendships at two large US schools drawn from the National Longitudinal Study of Adolescent to Adult Health. Whole-network models suggest that friendships are more likely between youth with similar levels of pubertal development, physical activity, and sleep. Sex-stratified models suggest that girls' friendships are more likely given a similar age at menarche. Attention to similar pubertal timing within friendship groups may offer inclusive opportunities for tailored developmental puberty education in ways that reduce stigma and improve health behaviors.

Evolutionary Digital Twin-Oriented Complex Networked Systems driven by node features and the mutation of feature preferences.

Accurate modelling of complex social systems, where people interact with each other and those interactions change over time, has been a research challenge for many years. This study proposes an evolutionary Digital Twin-Oriented Complex Networked System (DT-CNS) framework that considers heterogeneous node features and changeable connection preferences. We create heterogeneous preference mutation mechanisms to characterise nodes' adaptive decisions on preference mutation in response to interaction patterns and epidemic risks. In this space, we use nodes' interaction utilities to characterise the positive feedback from interactions and negative impact of epidemic risks. We also introduce social capital constraint to harness the density of social connections better. The nodes' heterogeneous preference mutation styles include the (i)inactive style that keeps initial social preferences, (ii) ignorant style that randomly mutates preferences, (iii) egocentric style that optimises individual interaction utility, (iv) cooperative style that optimises the total interaction utilities by group decisions and (v) collaborative style that further allows the cooperative nodes to transfer social capital. Our simulation experiments on evolutionary DT-CNSs reveal that heterogeneous preference mutation styles lead to various interaction and infection patterns. The results also show that (i) increasing social capital enables higher interactions but higher infection risks and uncertainty in decision-making; (ii) group decisions outperform individual decisions by eliminating the unawareness of the decisions of other nodes; (iii) the collaborative nodes under a strict social capital limit can promote interactions, reduce infection risks and achieve higher overall interaction utilities.

Association between problematic social networking use and anxiety symptoms: a systematic review and meta-analysis.

A growing number of studies have reported that problematic social networking use (PSNU) is strongly associated with anxiety symptoms. However, due to the presence of multiple anxiety subtypes, existing research findings on the extent of this association vary widely, leading to a lack of consensus. The current meta-analysis aimed to summarize studies exploring the relationship between PSNU levels and anxiety symptoms, including generalized anxiety, social anxiety, attachment anxiety, and fear of missing out. 209 studies with a total of 172 articles were included in the meta-analysis, involving 252,337 participants from 28 countries. The results showed a moderately positive association between PSNU and generalized anxiety (GA), social anxiety (SA), attachment anxiety (AA), and fear of missing out (FoMO) respectively (GA: r = 0.388, 95% CI [0.362, 0.413]; SA: r = 0.437, 95% CI [0.395, 0.478]; AA: r = 0.345, 95% CI [0.286, 0.402]; FoMO: r = 0.496, 95% CI [0.461, 0.529]), and there were different regulatory factors between PSNU and different anxiety subtypes. This study provides the first comprehensive estimate of the association of PSNU with multiple anxiety subtypes, which vary by time of measurement, region, gender, and measurement tool.

Application of an egocentric social network approach to examine changes in social connections following treatment for anxiety and depression: A novel measurement tool for clinical trials research?

The epidemic of loneliness and social isolation has been recognized as a public health crisis warranting the same prioritization as other public health issues today, such as obesity, substance use disorders, and tobacco use. Social disconnection is particularly prevalent and disabling among individuals with anxiety and depression, yet it is inadequately evaluated and addressed in most clinical psychology treatment research. Studies generally employ global measures of perceived connectedness, loneliness, or relationship satisfaction, limiting understanding about elements of one's social network that may change with treatment. This study examined changes in the degree (number of people nominated) and quality of one's social network from pre-to post-treatment using an egocentric social network approach in 59 adults (mean age = 30.8 years, range = 18 to 54) with clinically elevated anxiety or depression who were randomized to a cognitive and behavioral positive valence treatment versus waitlist. Participants (egos) named people in their lives (alters) with whom they discussed important issues or spent free time. For each alter, participants rated how close they felt, how close they thought the alter felt to them, and how frequently they communicated. Linear regressions, which included treatment group as a predictor, revealed no group differences in changes in network degree, perceived alter feelings of closeness, or communication frequency, despite prior findings from this sample indicating larger increases in perceived global connectedness in the treatment group. Unexpectedly, the control group reported a greater increase in perceived closeness to alters. Post-hoc analyses revealed this was explained by the treatment group identifying more distal social ties (e.g., extended family, colleagues, roommates) as alters following treatment - an outcome positively associated with global improvements in connectedness. This proof-of-concept study suggests egocentric social network surveys may provide unique information on treatment-related changes in social functioning. Suggestions are provided for adaptations to facilitate application of social network surveys to mental health treatment research.

Healthcare social network research and the ECHO model™: Exploring a community of practice to support cultural brokers and transfer cultural knowledge.

BACKGROUND: Project ECHO® networks at Children's Health Queensland Hospital and Health Service (CHQHHS) are communities of practice designed to mitigate services and systems fragmentation by building collaborative partnerships addressing priority child and youth health needs. Aboriginal and Torres Strait Islander people experience the negative impacts of fragmentation in addition to historical challenges of absent or culturally inappropriate health services. Access to culturally safe and responsive services can be improved by engaging Aboriginal and Torres Strait Islander Health Workers and similar roles in an online community of practice, supporting the integration of cultural and clinical knowledge and self-determination of Aboriginal and Torres Strait Islander consumers in decisions affecting their health. Analysing professional support networks and knowledge sharing patterns helps identify enablers and barriers to partnerships. Using social network research, the multilevel network inclusive of ECHO network members and their colleagues was studied to identify interdisciplinary and cross-sector advice exchange patterns, explore the position of cultural brokers and identify common relational tendencies. METHODS: Social network theories and methods informed the collection of network data and analysis of advice-seeking relationships among ECHO network members and their nominees. Registered members from two ECHO networks were invited to complete the Qualtrics survey. Networks analysed comprised 398 professionals from mainstream health, Aboriginal and Torres Strait Islander Community Controlled Health Organisation, education, disability and child safety service settings. RESULTS: Brokers were well represented, both those who hold knowledge brokerage positions as well as cultural brokers who incorporate clinical and cultural knowledge enabling holistic care for Aboriginal and Torres Strait Islander patients (38 individuals, 17% of network). Professionals who occupy brokerage positions outside the ECHO network tend to be more connected with co-members within the network. CONCLUSIONS: This study is the first application of contemporary social network theories and methods to investigate an ECHO network. The findings highlight the connectivity afforded by brokers, enabling the coordination and collaboration necessary for effective care integration. Inclusion of cultural brokers in an ECHO network provides sustained peer group support while also cultivating relationships that facilitate the integration of cultural and clinical knowledge.

Social networking older adults with mild cognitive impairment: Systematic review protocol on their use of information and communication technology.

This systematic review will identify and synthesize the emerging evidence on older adults with Mild Cognitive Impairment (MCI) utilizing Information and Communication Technology (ICT) to maintain, restore, or augment social networks. The systematic review will consider the evidence on contextual and personal factors of older adults with MCI and their ICT use for social connectedness. The evidence searches will be implemented in PsycINFO, Academic Search Complete, Medline, PubMed, and manual searches. We shall review articles that were published between January 2010 and October 2023 in English and on Information and Communication Technology utility in social networking among older adults with MCI. The process of article selection will be conducted through title screening, abstract screening; and full article screening, following the Population, Intervention, Control, Outcomes (PICO) criteria. Given that all the studies included in this review are publicly accessible and have already obtained ethical approval from their respective institutions, there is no obligation for us to seek additional ethical clearance for our systematic review. We plan to share the outcomes of the systematic review through online presentations and dissemination within the research community. The findings from this review will identify the extent of empirical evidence on older adults with MCI utilizing ICTs to maintain, restore or augment their social networks. This review will provide evidence for contextual and personal factors in older adults with MCI for the social networks with ICT use. This review will propose practical implications for the effective utilization of ICT by older adults with MCI.

The effect of social network based motivational interviewing on health behaviors among infertile women with polycystic ovary syndrome: A randomized controlled trial.

Polycystic ovary syndrome is one of the commonest and complex endocrine disorders in females of reproductive age. Attention to self-care behaviors such as health-promoting behaviors can improve physiological and psychological conditions in women with PCOS. This study aimed to determine the efficacy of Social Network-Based Motivational Interviewing on health-promoting behaviors and quality of life of infertile women with polycystic ovary syndrome. In this randomized controlled trial, 60 infertile women with polycystic ovary syndrome were randomly selected and assigned to the interventio (n = 30) or a control group (n = 30). Participants in the control group received routine care. Those in the intervention group received five motivational group sessions in WhatsApp, which were conducted in five groups of six participants each. The data related to health-promoting behaviors and quality of life were collected through an online questionnaire. Both groups were followed up immediately and 2 months after the intervention. Data collected in the two stages were analyzed using the paired-samples t-test, Chi-square, and repeated measures analysis. No significant difference was observed between the two groups before the intervention means health-promoting behaviors and quality of life scores (p>0.05). Immediately and two months after the intervention, the mean scores of health-promoting behaviors and their domains increased in the intervention group. This increase is statistically compared to the first test, and the scores obtained by the control group in the second (p< 0.001, ES = 1.5) and the third test (p< 0.001, ES= 1.3) were significant. The score of the quality of life variable increase was not statistically significant compared to the first test and also to the scores obtained by the control group. However According to the Generalized estimating equations (GEE) test, the changes in quality of life score between the two groups in the three stages of measurement are statistically significant. WhatsApp support increases the health-promoting self-care behaviors rate and has favorable effects on follow-up.Trial registration: Iranian Registry for Clinical Trial (the link to trial: https://www.irct.ir/trial/48089 ). Registered August 11 2020.

Digital Strategies Supporting Social Network Approaches to HIV Testing: A Scoping Review.

PURPOSE OF REVIEW: This review captured how digital strategies support social network approaches to promote HIV testing. RECENT FINDING: Overall, 29 studies were identified by searching PubMed and Embase for studies published up to June 2023. Existing studies revealed three types of digital strategies (social media (n = 28), online information channels (n = 4), and multifunctional digital platforms (n = 4)) split into four major modes of digital strategy-supported social-network-based HIV testing promotion: 1) Online outreach and recruiting, 2) gathering and identifying key populations for HIV testing, 3) communicating and disseminating online HIV testing health interventions, and 4) assisting and facilitating HIV testing uptake and distribution. Social network approaches supported by digital strategies yielded advantages in HIV testing education and distribution, which increases HIV testing coverage among key populations. Studies are needed on how to facilitate the use of digital strategies for social network-based HIV testing, as well as how to integrate them with existing HIV testing approaches.

Use of social network analysis in health research: a scoping review protocol.

INTRODUCTION: Social networks can affect health beliefs, behaviours and outcomes through various mechanisms, including social support, social influence and information diffusion. Social network analysis (SNA), an approach which emerged from the relational perspective in social theory, has been increasingly used in health research. This paper outlines the protocol for a scoping review of literature that uses social network analytical tools to examine the effects of social connections on individual non-communicable disease and health outcomes. METHODS AND ANALYSIS: This scoping review will be guided by Arksey and O'Malley's framework for conducting scoping reviews. A search of the electronic databases, Ovid Medline, PsycINFO, EMBASE and CINAHL, will be conducted in April 2024 using terms related to SNA. Two reviewers will independently assess the titles and abstracts, then the full text, of identified studies to determine whether they meet inclusion criteria. Studies that use SNA as a tool to examine the effects of social networks on individual physical health, mental health, well-being, health behaviours, healthcare utilisation, or health-related engagement, knowledge, or trust will be included. Studies examining communicable disease prevention, transmission or outcomes will be excluded. Two reviewers will extract data from the included studies. Data will be presented in tables and figures, along with a narrative synthesis. ETHICS AND DISSEMINATION: This scoping review will synthesise data from articles published in peer-reviewed journals. The results of this review will map the ways in which SNA has been used in non-communicable disease health research. It will identify areas of health research where SNA has been heavily used and where future systematic reviews may be needed, as well as areas of opportunity where SNA remains a lesser-used method in exploring the relationship between social connections and health outcomes.

Cross-border mobility in the Meuse-Rhine Euroregion: impact of COVID-19 border restrictions on everyday activities and visiting social network members.

Introduction: Cross-border mobility (CBM) to visit social network members or for everyday activities is an important part of daily life for citizens in border regions, including the Meuse-Rhine Euroregion (EMR: neighboring regions from the Netherlands, Belgium, and Germany). We assessed changes in CBM during the COVID-19 pandemic and how participants experienced border restrictions. Methods: Impact of COVID-19 on the EMR' is a longitudinal study using comparative cross-border data collection. In 2021, a random sample of the EMR-population was invited for participation in online surveys to assess current and pre-pandemic CBM. Changes in CBM, experience of border restrictions, and associated factors were analyzed using multinomial and multivariable logistic regression analysis. Results: Pre-pandemic, 82% of all 3,543 participants reported any CBM: 31% for social contacts and 79% for everyday activities. Among these, 26% decreased social CBM and 35% decreased CBM for everyday activities by autumn 2021. Negative experience of border restrictions was reported by 45% of participants with pre-pandemic CBM, and was higher (p < 0.05) in Dutch participants (compared to Belgian; aOR= 1.4), cross-border [work] commuters (aOR= 2.2), participants with cross-border social networks of friends, family or acquaintances (aOR= 1.3), and those finding the measures 'limit group size' (aOR= 1.5) and 'minimalize travel' (aOR= 2.0) difficult to adhere to and finding 'minimalize travel' (aOR= 1.6) useless. Discussion: CBM for social contacts and everyday activities was substantial in EMR-citizens, but decreased during the pandemic. Border restrictions were valued as negative by a considerable portion of EMR-citizens, especially when having family or friends across the border. When designing future pandemic control strategies, policy makers should account for the negative impact of CBM restrictions on their citizens.

[Use of social networks as a source of information on health and digital health literacy in the Spanish general population]. / Uso de redes sociales como fuente de información sobre salud y alfabetización digital en salud en población general española.

OBJECTIVE: Social media allows individuals to access a vast amount of health-related information immediately and anonymously, a fact that is turning these platforms into one of the primary sources of reference in this area, especially for younger generations. Given this reality, the objective of determining the impact of social media on digital health literacy in the general Spanish population was proposed. METHODS: A cross-sectional descriptive study was carried out in 2023. Using a non-probabilistic sampling, the population residing in Spain, over eighteen years old, and users of social networks were included, obtaining a sample of 1,307 participants. An adaptation of the validated eHEALS questionnaire on digital health literacy was used. This questionnaire, created in Microsoft Forms, was disseminated through an anonymous link via the research team's social networks and collaborators. A descriptive and inferential statistical analysis was performed using SPSS 22.0, assuming a significance level with a value of p<0.05. RESULTS: All participants affirmed having consumed health information through social networks, but 72.1% stated they had actively used these platforms to search for this health information. Regarding digital health literacy, a median score of 24 out of 40 points was obtained on the questionnaire, being significantly higher among those who claimed to use social networks as a source of health information (p=0.0001). CONCLUSIONS: Actively employing social media as a source of health information is associated with a higher level of digital health literacy.

OBJECTIVE: Las redes sociales permiten a las personas acceder de manera inmediata y anónima a una cantidad ingente de información sobre aspectos de salud, hecho que está provocando que se estén convirtiendo en una de las fuentes de referencia en este ámbito, sobre todo para las generaciones más jóvenes. Atendiendo a esta realidad se planteó el objetivo de determinar el impacto de las redes sociales en la alfabetización digital en salud en la población general española. METHODS: Se realizó un estudio descriptivo transversal en el año 2023. Mediante un muestreo no probabilístico, se incluyó población residente en España, mayor de dieciocho años y usuaria de redes sociales, obteniendo una muestra de 1.307 participantes. Se utilizó una adaptación del cuestionario validado eHEALS sobre alfabetización digital en salud. Dicho cuestionario, elaborado en Microsoft Forms, fue difundido mediante un enlace anónimo a través de las redes sociales del equipo investigador y colaboradores. Se realizó un análisis estadístico descriptivo e inferencial mediante SPSS 22.0, asumiendo un nivel de significación con un valor de p<0,05. RESULTS: La totalidad de los participantes afirmaron haber consumido información sobre salud a través de redes sociales, pero fue el 72,1% el que afirmó haber usado estas plataformas activamente para buscar esta información sobre salud. Con respecto a la alfabetización digital en salud, se obtuvo una puntuación mediana en el cuestionario de 24 sobre 40 puntos, siendo significativamente mayor entre los que afirmaron usar las redes sociales como fuente de información sobre salud (p=0,0001). CONCLUSIONS: Emplear de manera activa las redes sociales como fuente de información sobre salud parece tener relación con un mayor nivel de alfabetización digital en salud.

Serophobia related to HIV and AIDS: what is debated in digital social networks in Brazil? / Sorofobia relacionada ao HIV e à Aids: o que se debate nas redes sociais digitais no Brasil?

The aim of this article is to analyze the serophobic content explicit in the publications published in Digital Social Networks in the context of HIV and AIDS in Brazil. This is a qualitative study of the descriptive exploratory type, based on documents. The data obtained were evaluated using the methodology of documentary analysis through Thematic Content Analysis with the aid of NVivo®12 Plus (Windows). A total of 187 codes were generated, subsequently grouped according to the semantics of the words, originating five thematic categories: #LivingWithHIV, #WeNeedtoTalkAboutIt, #WhatISSEROPHOBIA, #SerophobiaIsACrime, and #NoSerophobia. The results showed the main manifestations of HIV and AIDS-related serophobia on social networks. The shared content discussed the difficulties of living with a disease that has social dimensions; the relevance of talking and disseminating content about HIV and AIDS; the elements that make up the stigmatization process and, consequently, structure serophobia in society; the social and civil rights of people living with HIV; measures to combat serophobia in health institutions; and the implications of serophobia in the field of public health.

O objetivo do artigo é analisar o conteúdo sorofóbico explicitado nas publicações veiculadas nas redes sociais digitais no contexto do HIV e da Aids no Brasil. Trata-se de um estudo qualitativo do tipo exploratório descritivo, de base documental. Os dados obtidos foram avaliados utilizando a metodologia de análise documental por meio da análise de conteúdo temático com auxílio do software NVivo®12 Plus (Windows). Foram gerados 187 códigos, posteriormente agrupados conforme a semântica das palavras, originando cinco categorias temáticas: #VivendoComHIV, #PrecisamosFalarSobreIsso, #OQueÉSOROFOBIA, #SorofobiaéCrime e #SorofobiaNÃO. Os resultados evidenciaram as principais manifestações acerca da sorofobia relacionada ao HIV e à Aids nas redes sociais. O conteúdo compartilhado debateu as dificuldades de viver com uma doença que apresenta dimensões sociais; a relevância de falar e difundir conteúdo sobre o HIV e a Aids; os elementos que compõem o processo de estigmatização e, consequentemente, estruturam a sorofobia na sociedade; os direitos sociais e civis das pessoas vivendo com HIV; as medidas de combate à sorofobia nas instituições de saúde; e as implicações da sorofobia no âmbito da saúde pública.

Redes sociais institucionais frente à infodemia causada pela covid-19: uma análise das interações dos usuários / Institutional social networks against the infodemia caused by covid-19: an analysis of user interactions / Redes sociales institucionales ante la infodemia provocada por covid-19: un análisis de las interacciones de los usuários

Objetivo: Analisar a interação dos usuários em publicações de saúde com informações sobre covid-19 nas redes sociais da Prefeitura Municipal de Macapá (capital do estado do Amapá). Métodos: Trata-se de uma pesquisa de abordagem qualitativa, do tipo descritivo-exploratório, realizada com os usuários que interagiram com as publicações sobre covid-19 das redes sociais do Facebook, Instagram e Twitter da Prefeitura de Macapá. A coleta de dados ocorreu através de entrevista semiestruturada e os dados foram analisados por meio da análise de conteúdo de Bardin. Resultados: Com base nos discursos dos participantes, emergiram quatro categorias: 1 - Importância de informação clara e de fácil compreensão para todos os tipos de público; 2 - O compartilhamento de informações nas redes sociais como incentivo à prevenção; 3 - A responsabilidade de checar as informações nas redes sociais de fontes não oficiais; e 4 - A comunicação como uma via de mão dupla: postagem e resposta. Conclusão: As redes sociais institucionais podem ser um importante espaço para a disseminação de informações relacionadas à covid-19, porém se torna necessário qualificar o trabalho dessas redes através de estratégias que articulem a gestão destas em todos os âmbitos. (AU)

Objective: To analyze the interaction of users in publications of health with informations about covid-19 in Macapá's city hall (capital of the state of Amapá) social media. Methods: It is about a qualitative approach research, exploratory-descriptive type, performed with users that interacted with publications about covid-19 at this social medias: Facebook, Instagram and Twitter's city hall. The data collection occurred through semi-structured interviews and the data were analyzed through the Bardin' content analysis. Results: Based on the participants' speeches, four categories emerged: 1 - Importance of clear and easy-to-understand information for all types of public; 2 - Sharing information on social networks as an incentive for prevention; 3 - The responsibility to check information on social networks from unofficial sources; and 4 - Communication as a two-way street: post and reply. Conclusion: The institutional social medias are able to be an important space for the dissemination of information related to covid-19, however, it becomes necessary to qualify the work of those networks through strategies that can articulate better with the management of those in the whole sphere. (AU)

Objetivo: Analizar la interacción de los usuarios de publicaciones de salud con información sobre covid-19 en las redes sociales del Municipio de Macapá (capital del estado de Amapá). Métodos: Se trata de una investigación cualitativa, de tipo descriptiva-exploratoria, realizada con usuarios que interactuaron con las publicaciones sobre covid-19 de las redes sociales de Facebook, Instagram y Twitter del Municipio de Macapá. La recolección de datos ocurrió a través de entrevistas semiestructuradas y los datos fueron analizados utilizando el análisis de contenido de Bardin. Resultados: Con base en los discursos de los participantes, surgieron cuatro categorías: 1 - Importancia de la información clara y fácil de entender para todo tipo de público; 2 - Compartir información en las redes sociales como incentivo para la prevención; 3 - La responsabilidad de verificar la información en las redes sociales de fuentes no oficiales; y 4 - La comunicación como vía de doble sentido: post y respuesta. Conclusión: Las redes sociales institucionales pueden ser un espacio importante para la difusión de información relacionada con Covid-19, sin embargo, se hace necesario capacitar el trabajo de estas redes a través de estrategias que articulen su gestión en todos los ámbitos. (AU)

User tendency-based rating scaling in online trading networks.

Social networks often involve the users rating each other based on their beliefs, abilities, and other characteristics. This is particularly common in e-commerce platforms where buyers rate sellers based on their trustworthiness. However, the rating tends to vary between users due to differences in their individual scoring criteria. For example, in a transaction network, a positive user may give a high rating unless the transaction was unsatisfactory while a neutral user may give a mid-rating, consequently giving the same numeric score to different levels of satisfaction. In this paper, we propose a novel method called user tendency-based rating scaling, which adjusts the current rating (its score) based on the pattern of past ratings. We investigate whether this rating scaling method can classify between "good users" and "bad users" in online trade social networks better when compared with using the original rating scores without scaling. Classifying between good users and bad users is especially important for anonymous rating networks like Bitcoin transaction networks, where users' reputations must be recorded to preclude fraudulent and risky users. We evaluate the proposed rating scaling method by performing user classification, link prediction, and clustering tasks, using three real-world online rating network datasets. We use both the original ratings and the scaled ratings as weights of graphs and use a weighted graph embedding method to find node representations that reflect users' positive and negative information. The experimental results showed that using the proposed rating scaling method outperformed using the original (i.e., unscaled) ratings by up to 17% in classification accuracy, and by up to 2.5% in link prediction based on the AUC ROC measure, and by up to 21% in the clustering tasks based on the Dunn-index.

Testing the role of extended thinking in predicting craving and problematic social network sites use.

Background and aims Problematic Social Network Sites Use (PSNSU) mirrors substance use disorders with regard to symptoms (e.g., diminished control). Recent theoretical advances in the addiction research field recognize a central role of affective and cognitive processes in the development of addictive behaviors. For example, the metacognitive model of addictive behaviors sustains that cognitive processes like extended thinking, disruption in metacognitive monitoring, and thought suppression are associated with addictive behaviors leading to increased craving. The current study aims to test the mediating role of extended thinking (i.e., worry, rumination, and desire thinking) in the relationship between psychological distress and PSNSU. Methods A community sample of 548 individuals (F = 68.5%, Mage= 29.29 ± 12.04 years) completed an online survey. Structural Equation Modeling (SEM) was utilized to analyze the relationships among the variables under study. Results The assessed structural model adequately fits the data, accounting for 89% of PSNSU variance. Psychological distress predicted PSNSU through the mediation of desire thinking and rumination and the serial mediation of (i) worry and craving (ii) desire thinking and craving The model is gender invariant. Conclusions The current findings provide preliminary evidence for the role of extended thinking in PSNSU. Worry, rumination and desire thinking may be central cognitive processes in eliciting craving and PSNSU for individuals who experience psychological distress.

Faculty members as academic knowledge brokers in Iran's health sector: a social network analysis study.

BACKGROUND: Interaction between researchers and policymakers is an essential factor to facilitate the evidence-informed policymaking. One of the effective ways to establish this relationship and promote evidence-informed policymaking is to employ people or organizations that can play the role of knowledge brokers. This study aims to analyze the communication network and interactions between researchers and policymakers in Iran's health sector and identify key people serving as academic knowledge brokers. METHODS: This study was a survey research. Using a census approach, we administered a sociometric survey to faculty members in the health field in top ten Iranian medical universities to construct academic-policymaker network using social network analysis method. Network maps were generated using UCINET and NetDraw software. We used Indegree Centrality, Outdegree Centrality, and Betweenness Centrality indicators to determine knowledge brokers in the network. RESULTS: The drawn network had a total of 188 nodes consisting of 94 university faculty members and 94 policymakers at three national, provincial, and university levels. The network comprised a total of 177 links, with 125 connecting to policymakers and 52 to peers. Of 56 faculty members, we identified four knowledge brokers. Six policymakers were identified as key policymakers in the network, too. CONCLUSIONS: It seems that the flow of knowledge produced by research in the health field in Iran is not accomplished well from the producers of research evidence to the users of knowledge. Therefore, it seems necessary to consider incentive and support mechanisms to strengthen the interaction between researchers and policymakers in Iran's health sector.

The gene "degrees of kevin bacon" (dokb) regulates a social network behaviour in Drosophila melanogaster.

Social networks are a mathematical representation of interactions among individuals which are prevalent across various animal species. Studies of human populations have shown the breadth of what can spread throughout a social network: obesity, smoking cessation, happiness, drug use and divorce. 'Betweenness centrality' is a key property of social networks that indicates an individual's importance in facilitating communication and cohesion within the network. Heritability of betweenness centrality has been suggested in several species, however the genetic regulation of this property remains enigmatic. Here, we demonstrate that the gene CG14109, referred to as degrees of kevin bacon (dokb), influences betweenness centrality in Drosophila melanogaster. We identify strain-specific alleles of dokb with distinct amino acid sequences and when the dokb allele is exchanged between strains, flies exhibit the betweenness centrality pattern dictated by the donor allele. By inserting a GAL4 reporter into the dokb locus, we confirm that dokb is expressed in the central nervous system. These findings define a novel genetic entry point to study social network structure and thereby establish gene-to-social structure relationships. While dokb sequence homology is exclusive to Diptera, we anticipate that dokb-associated molecular pathways could unveil convergent neural mechanisms of social behaviour that apply in diverse animal species.

"My Mother Persuaded Me to Have More Children", Understanding the Influence of Social Network on Fertility Behavior in Sub-Saharan Africa.

Introduction: Despite the adoption of an antenatal demographic transition model in sub-Saharan Africa, population growth continues to soar in the region. The reasons for population growth are nebulous and should be approached from different perspectives. Inadequate attention has been paid to how social pressures shape reproductive behavior. Thus, this study examines the association between social networks and fertility behavior in sub-Saharan Africa. Methods: This study used a cross-sectional design that employed a qualitative method to conduct 28 in-depth interviews among married women. Data was collected in 2023. Thematic analyses were utilized to interpret the results. Results: Parental pressure, the desire for more children, the desire for male children, values placed on children, norms, and pronatalist culture were associated with high fertility in sub-Saharan Africa. Conclusions: Thus, there is a need for more awareness of family planning and contraceptive use in order to reduce fertility in sub-Saharan Africa.