Types Of Social Networks Research Articles

A Study on the Types of Social Networks and Influential Factors of Women in Shanghai's Migrant Population--Social Network Theory Perspective

Abstract: Female migrants face a double vulnerability due to their urban/rural status and gender, making it challenging for them to integrate into their new communities. Women in the migrant population are doubly disadvantaged in terms of both urban-rural and gender-based social categorization. This group faces difficulties integrating into the community, including limited social resources, cultural activities, and social support. This paper examines the social networks of female migrants in Shanghai, using social network theory as the framework and data collected from semi-structured interviews. The study explores the types and characteristics of their social networks and how strong and weak ties affect their community integration. The findings indicate that strong ties dominate the social networks of migrant women in Shanghai. However, the absence of weak ties, which are crucial for accessing new information, resources, and opportunities, hinders their integration into the community.

Path analysis of social network factors influencing sustainable eco-city development in the northeast of Thailand

In Urban development, diversity respect is needed to prioritize and balance the urban development design for sustainable eco-city development. As a result, this research aimed to investigate the causal factor pathways of social network factors influencing sustainable eco-city development in the northeastern region of Thailand through a quantitative research approach. With the aim to survey insightful information, the analysis unit was conducted at the individual level with three hundred and eighty-three (383) samplings in Khon Kaen and Udon Thani provinces, including univariate analysis and multivariate analysis, using path analysis and multiple linear regression. The study results indicated that two pathways of social network factors influencing sustainable eco-city development were indirect influence factors. The indirect influence factor consists of information exchange, benefits exchange in the network, and members’ role in the social network. Additionally, the study revealed that the pathway has influences through social network types and the economic and social dimensions of sustainable cities (R2 = 0.330). Therefore, this study concluded that sustainable eco-city development should be implemented through community networks and economic and social network development for environmental development through social network types.

The application of social network analysis in applied linguistics research: a systematic review

Abstract Social network analysis (SNA) has recently drawn increasing scholarly attention in applied linguistics research in response to the social turn in the field. In this review, we analyze and identify the methodological characteristics and topical concerns of articles addressing SNA in Social Science Citation Index (SSCI) journals. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we identify a total of 60 articles published between 1980 and 2023. Our analysis reveals that a growing body of research is adopting qualitative and mixed methods to examine the relationships between social networks and language learning, teaching and use. These findings confirm that social context constitutes an essential part of the ecosystem intertwined with various cognitive, social, and psychological factors, which have a synergistic impact on language learning and teaching. While these studies show that social networks afford learners with valuable linguistic, emotional, and social resources, they reveal that networks may also exert negative influences in their learning behaviors in some contexts. We conclude the review with recommendations for future research to broaden the scope of investigations and consider exploring how different types of social networks at meso- and macro-levels may influence the learning and teaching of language.

How does OTT social viewing relieve pandemic-related depressive symptoms? Investigating the moderated mediation model of social connectedness and network types

ABSTRACT After the outbreak of COVID-19, people have lacked offline social opportunities and had to focus their energy on online social activities. While some researchers have proposed that both anxiety and depression have increased significantly during the COVID-19 pandemic, previous studies have provided evidence that people have mitigated negative emotions during the health crisis by using online services. In this manner, the pandemic-induced increase in online activity has significantly boosted global demand for online video services (Over-the-Top, OTT). OTT social viewing refers to the act of interacting with other users while simultaneously watching content through the social viewing service provided by OTT service providers. Drawing on the social compensation hypothesis and social capital theory, we surveyed people who experienced COVID-19-related depression and used Watch party, a key OTT social viewing service in Korea. The study reveals that while social media alone did not directly alleviate COVID-19-related depression, emotional stability was regained through building social connectedness via online activities. Furthermore, the study highlights that in OTT social viewing, the quality of interactions, rather than the quantity, was more crucial for forming social connectedness.

Spotting Leaders in Organizations with Graph Convolutional Networks, Explainable Artificial Intelligence, and Automated Machine Learning

Over the past few decades, the study of leadership theory has expanded across various disciplines, delving into the intricacies of human behavior and defining the roles of individuals within organizations. Its primary objective is to identify leaders who play significant roles in the communication flow. In addition, behavioral theory posits that leaders can be distinguished based on their daily conduct, while social network analysis provides valuable insights into behavioral patterns. Our study investigates five and six types of social networks frequently observed in different organizations. This study is conducted using datasets we collected from an IT company and public datasets collected from a manufacturing company for the thorough evaluation of prediction performance. We leverage PageRank and effective word embedding techniques to obtain novel features. State-of-the-art performance is obtained using various statistical machine learning methods, graph convolutional networks (GCN), automated machine learning (AutoML), and explainable artificial intelligence (XAI). More specifically, our approach can achieve state-of-the-art performance with an accuracy close to 90% for leaders identification with data from projects of different types. This investigation contributes to the establishment of sustainable leadership practices by aiding organizations in retaining their leadership talent.

Correlation between social network and mental health in family-oriented older migrants: A study in two cities in China

BackgroundFamily-oriented mobility has become increasingly prevalent in recent years, leading to the emergence of a new demographic: older migrants. These individuals, who are often accompanied by their family members, relocate to another place of residence while retaining their household registration in their original location. The existing literature has largely neglected the social perspective on the mental health of this population group. MethodsThis study recruited participants from five communities in two cities and employed the Geriatric Social Network Scale, the Self-Rating Anxiety Scale, and the Geriatric Depression Scale to assess their mental health and social networks. ResultsAmong the 317 qualified participants, 31.23 % reported experiencing anxiety and 15.77 % reported experiencing depression. The mean social network score was 3.83 ± 0.54 points. A negative correlation was observed between social network scores and both anxiety (r = −0.272, P < 0.001) and depression (r = −0.338, P < 0.001). Two distinct types of social networks were identified through latent profile analysis, with a low level of social support and a low-level social network being significantly correlated with depression (P < 0.001). ConclusionsMental health issues are prevalent among family-oriented older migrants. A medium-level social network was found to be negatively correlated with anxiety and depression. The presence of a low-level social network was found to be associated with depression. It is imperative to prioritize the mental health status of family-oriented older migrants. Collaboration between community nurses and social workers should be encouraged to aid in exploring more effective ways of promoting the mental health status and social networks of this population.

Persecution and Escape: Professional Networks and High-Skilled Emigration from Nazi Germany

We study the role of professional networks in facilitating emigration of Jewish academics dismissed from their positions by the Nazi government. We use individual-level exogenous variation in the timing of dismissals to estimate causal effects. Academics with more ties to early émigrés (emigrated 1933–1934) were more likely to emigrate. Early émigrés functioned as “bridging nodes” that facilitated emigration to their own destination. We also provide evidence of decay in social ties over time and show that professional networks transmit information that is not publicly observable. Finally, we study the relative importance of three types (family, community, professional) of social networks. (JEL I31, J44, N34, N44, Z12, Z13)

Does involving another person in day-to-day activity-travel participation affect social and mental health?

IntroductionThis study investigates the effects of different types of social networks within different activities on an individual’s social and mental health in developing countries since the effects of involving other people or social networks on health have been studied particularly in developing countries. MethodsThe data was collected through a survey conducted from August to October 2019. The survey involved 420 individuals from 92 households, covering inputs on their socio-demographics, travel characteristics, time use, and activity diaries and the involvement of various social network types during the activities, travels performed, and Health Quality of Life. Multilevel modelling with a random slope is applied. For time-use and activity-travel participation information, respondents were asked to record their activities and travel within 15-min intervals for 5 consecutive weekdays with 25 activity classifications grouped as mandatory, leisure, and maintenance activities including online activities that could be conducted in or outside the home. It is also recorded whether other people are involved in each time slice of each activity. Companionship within different activities is then disaggregated into different types of social networks, namely other household members, relatives, close friends, and online friends. ResultEngaging with other people is not necessary to gain positive results on social and mental health. Within different types of activities and different contexts, such as in developing countries that have higher percentages of low-income households, much time spent in engagements with other household members can worsen social and mental health. ConclusionIn developing country contexts, better social health might be indicated by having more engagements with other people beyond household members and spending more time on travelling or out-of-home activities. However, more disposable income, more time for socialising and leisure activities, and more engagements with close and online friends all seem to be able to gain positive mental health conditions.

Examining the Social Networks Types and Their Effects on Caregiving Experience of Family Caregivers for Individuals With Dementia: A Mixed-Methods Study.

Social networks are crucial to personal health, particularly among caregivers of individuals with dementia; however, different types of social networks among caregivers of those with dementia and how these differences are associated with caregiver burden and positive appraisal, remain underexamined. This study aims to depict dementia caregivers' social network types, related factors, and impact on caregiving experiences. A questionnaire-based survey was conducted with a total of 237 family caregivers of individuals with dementia nested additional semistructured interviews conducted with 14 caregivers in Chongqing, China. A quantitative study was designed to collect data on personal and situational information, social networks, caregiver burden, and positive aspects of caregiving. Qualitative data were collected via semistructured interviews. Latent class analysis and multivariate regression analyses were applied to quantitative data, and inductive content analysis to qualitative data. The 3 social network types-family-limited (n = 39, 16.46%), family-dominant (n = 99, 41.77%), and diverse network (n = 99, 41.77%)-differed in age and sex of caregivers and individuals with dementia, stage of dementia, and caregiving intensity. Caregivers in family-dominant networks had a lower caregiver burden (β= -0.299, p = .003) and greater positive aspects of caregiving (β= 0.228, p = .021) than those in family-limited networks. Three themes-accessibility, reciprocity, and reliance-emerged as facilitators and barriers when asking for support. Caregivers frequently cited the perception of economic, practical, and emotional support, yet reported a lack of adequate formal support from healthcare providers. Family caregivers of individuals with dementia have different social network types that vary considerably among sociocultural contexts and perceive various types of support from social networks. Solid family networks and diverse social networks are contributors to long-term dementia care.

Exploring social network typologies and their impact on health and mental well-being in older adults: Evidence from JAGES

BackgroundThe types of social networks, their prevalence, and their relationship to health outcomes in older age have been different across countries and cultures. Most of the literature has focused on USA or in European countries and little is known about the social network typologies among older adults from Japan. This study aimed to identify these patterns of social network typologies and examine the differences in sociodemographic and related to health variables. Methods23894 participants from the JAGES project (2019), aged 65 or older (M = 74.74, DT = 6.39) from Japan. Statistical analyses included Latent Profile Analysis (LPA) followed by ANOVAs, Chi square and multinomial logistic regressions tests to compare the profiles. ResultsFour profiles were identified: family (66.9%), spouse (16.6%), diverse (14.5%), and neighbor/others (1.9%). The profiles differ statistically (p < 0.001) in all sociodemographic characteristics and in the means of depression, loneliness, self-perceived health, and happiness. Compared with the “family” network, younger men, with fewer chronic illnesses but higher levels of depression and loneliness were more likely to be in the “spouse” profile, older women with lower socioeconomic status, but less lonely and happier in the “diverse” profile and adults who still working, have lower socioeconomic status and are less happy into the “neighbors/others” group. DiscussionWe discuss the differences between the profiles found, the potential differences with previous studies and the specific cultural Japanese nuances that may explain the characteristics of the network types founded.

Риски и угрозы сетевой коммуникации детей в цифровом обществе

The article examines the risks and threats of children’s network communication in the context of the modern digital society development. The author presents analysis of the adolescents’ cybersocialization process, and the classification of content depending on its impact on the children and adolescents’ development (constructive, neutral, destructive). The article describes risks and threats of information-psychological impact exerted using various technologies common on the Internet and in social networks. In addition to information-psychological impact, it is possible to form the mobilization potential of children and adolescents through social networks. The research considers the types of social networks communities capable of having a destructive impact on children and adolescents, as well as technologies for involving children and adolescents in these communities. The author deliberates consequences of the Internet’s negative impact on children and adolescents, such as the formation of mosaic thinking, lack of critical thinking, changes in norms and values, pathological Internet addictions that contribute to the vulnerabilities of children and adolescents.

Влияние социальных сетей на развитие политических коммуникаций в новой цифровой реальности

The article analyzes the aspects and problems of the influence of social networks on the development of politi-cal communications in the new digital reality. The concept of social networks is introduced, aspects of their im-pact on political communications and processes are characterized. Separately, the possibilities of the positive influence of social networks on the development of political communications in the new digital reality are re-vealed, and new threats and risks are also examined. Considering the factor of Russia’s involvement in a hy-brid, including informational, war with the collective West, a typology of social networks is proposed, including the criteria for blocking and possible reserves of popularity of political communications. The influence of differ-ent types of social networks and the factor of their blocking on the features and risks of political communica-tions is revealed, the specifics of communication activity in social networks with increasing and decreasing popularity are analysed. The mechanisms of political communications in the most preferred social networks for this are shown – VKontakte and Telegram. The necessity of activation of political communications aimed at young audience in TikTok, as well as on the basis of serious longreads on the platform “Zen” is argued. Measures are proposed for organizing political communications in social networks, including taking into ac-count the risk factors of outsourcing.

How Social Networks Shape Refugee Movements in Wartime: Evidence from the Russian Attack on Ukraine

This article analyzes the key factors guiding the destination choice of Ukrainian refugees in the EU between March and December 2022 in the framework of the activation of the Temporary Protection Directive. To this end, it specifies a migration model, computed for the whole period and two subperiods (March–May and June–December), that captures the influence of social networks. Furthermore, our migration model makes a distinction for the first time between prewar migrant communities and the new social networks that are emerging in wartime circumstances. The estimation of the model, using the Poisson Pseudo-Maximum Likelihood estimator by Santos Silva and Tenreyro (2006), confirmed the importance of both types of social networks in explaining refugees’ choice of destination. The results also revealed that some economic variables (expected earnings and the size of the informal sector) influenced the location choice of refugees since the outbreak of the war, while other socioeconomic and political factors (risk of social exclusion, anti-immigration sentiment, and rule of law) only did so after a few months, when it became increasingly self-evident that the war was going on for a long time.

Social networks of men who have sex with men engaging in chemsex in Germany: differences in social resources and sexual health

Meyer’s minority stress model posits that sexual minority communities can act as protective factors for individuals within the sexual minority. Given that existing evidence on this proposition is inconclusive, a social network approach was employed to capture diversity in the social environment of individuals involved in chemsex that might account for variations in social resources and sexual health. This study examined the social networks of men who have sex with men (MSM) involved in sexualised drug use, using data from a cross-sectional online survey. Utilising cluster analysis, four distinct social network types were identified based on network composition: MSM-diverse, partner-focused, family-diverse, and chemsex-restricted. In terms of social resources, the four network types did not exhibit significant differences in social support. However, individuals with a chemsex-restricted social network reported stronger social influence related to chemsex and less social engagement outside of chemsex. Contrary to initial expectations, the four network types did not differ in chemsex-related consequences or sexual satisfaction. MSM engaged in chemsex for over 5 years reported more chemsex-related consequences and lower sexual satisfaction, particularly those with a family-diverse social network. Additionally, indicators of network quality, such as perceived emotional closeness, reciprocity with network members, and overall satisfaction with the network, were more influential in predicting sexual health outcomes than social resources. The findings of the study suggest that the social environment of MSM engaged in chemsex plays a role in shaping their experiences. Insufficient inclusion in a sexual minority community is potentially associated with an elevated risk of poor sexual health. These findings underscore the importance of tailoring interventions to address the diverse needs of individuals exposed to different social environments.

Social network tie functions of social support and social influence and adult smoking abstinence.

Adults' social network ties serve multiple functions and play prominently in quitting smoking. We examined three types of adults' egocentric social networks, including family, friends, and friends online to investigate how two network characteristics with major relevance to health behavior, network size and tie closeness, related to the emotional and confidant support and to pro- and anti-smoking social influence these ties may transmit. We also examine whether the social support and social influence constructs related to smoking abstinence. We utilized baseline and 7-day abstinence survey data from 123 adult current smokers attempting to quit prior to the start of a randomized controlled quit-smoking trial of a social support intervention for quitting smoking on Twitter. To examine study relationships, we estimated Negative Binomial Regression models and Logistic Regression models. For all networks, network size and tie closeness related positively to most of the social support and social influence constructs, with tie closeness related most strongly, especially for online friends. Family pro-smoking social influence related negatively to smoking abstinence, and there were marginally negative relationships for family emotional support and family confidant support. Online friend emotional support had a marginally positive relationship with smoking abstinence. Overall, our findings indicated the importance of the social support and social influence functions of each type of network tie, with larger networks and closer ties related to higher levels of social support and social influence. Moreover, family network pro-smoking social influence may compromise abstinence while emotional support from online friend network ties may reinforce it.

Informal Caregiver Social Network Types and Mental Health: The Mediating Role of Psychological Resilience

ABSTRACT Little is known about whether and why social networks protect mental health among informal caregivers. This study examined the association between informal caregiver social network types and depressive symptoms and the mediatory mechanism of psychological resilience. Latent class analysis, applied to cross-sectional data on 278 Singaporean caregivers, identified four social network types: restricted (42%), friend (16%), family (21%), and diverse (21%). Path analysis showed that the diverse social network type, compared to the restricted social network type, was associated with a lower level of depressive symptoms, and psychological resilience fully mediated this association. Interventions should help caregivers to maintain social networks with their family and friends.

Perceived social support and characteristics of social networks of families with children with special healthcare needs following the COVID-19 pandemic.

Children with special healthcare needs (CSHCN) require more support than the average of their peers. Support systems for CSHCN were particularly affected by pandemic control measures. Perceived social support is a resource for health and wellbeing for CSHCN and their families. Associations of social support, mental health and socioeconomic status (SES) have been described. This study aims to (1) assess perceived social support in families with and without CSHCN; (2) describe structure and types of social networks of families with and without CSHCN; and (3) explore associations between perceived social support, disease complexity, child and caregiver mental health, and SES. This is the third of a sequential series of cross-sectional online surveys conducted among caregivers of children ≤ 18 years in Germany since the beginning of the COVID-19 pandemic, administered between 1st December 2022 and 10 March 2023. The Brief Social Support Scale (BS6) assessed perceived social support. Child and parental mental health were assessed using the Strengths and Difficulties Questionnaire (SDQ) and WHO-5 Wellbeing index. The CSHCN-Screener identified CSHCN. Descriptive statistics and linear regression modeling assessed associations between perceived social support, parent-reported child mental health problems, disease complexity, caregiver mental wellbeing and SES. The final sample included 381 participants, among them 76.6% (n = 292) CSHCN. 46.2% (n = 176) of caregivers reported moderate, i.e., at least occasional social support. Social support was largely provided by informal social networks consisting of partners, relatives and neighbors/friends. Linear regression modeling revealed associations of lower perceived social support with higher disease complexity of the child, lower caregiver mental wellbeing, lower SES and increasing caregiver age. The results of this study describe inequalities in perceived social support according to disease complexity of the child, caregiver mental health and socioeconomic status. They highlight the importance of social support and support networks as a resource for wellbeing of caregivers and CSHCN. Moving on from the COVID-19 pandemic, recovery strategies should focus on low-threshold interventions based in the community to improve social support for families with CSHCN and actively involve caregivers in identifying needs and co-creating new approaches.

Knowledge and Practices of Women Attending Postnatal Consultations on Vaccination Against COVID-19 in the Health District of Sakal in 2022 (Senegal)

Introduction: The COVID-19 pandemic remains a public health problem despite the lulls between waves. Achieving the goal of broad vaccination coverage is of paramount importance, particularly for populations at risk of severe forms of COVID-19. Hence the interest in studying vaccination among women attending post-natal consultations in the Sakal Health District. Methodology: A cross-sectional, descriptive and analytical study was conducted from 28 June to 27 October 2022. The study population consisted of women who had given birth and/or come for a postnatal consultation in the Sakal health district. Data were analysed using R 4.2 software. Results: The mean age of the women surveyed was 26.56±6 years, with extremes of 17 to 43 years. The median age was 25 years. The age groups most represented were [20-30], with a proportion of 50.6%. More than 80% of these women were uneducated (30.4%) or had no more than primary education (51.4%). A further 17% had completed secondary education, and only 1.2% had completed higher education. A quarter of these women had an income generating activity (15.2%). Almost ¾ of respondents had a television at home (70.2%) and a telephone (73.1%). Of those who had a phone, more than half (65.1%) had a smartphone, almost all of which had access to social networks (96.3%). The types of social network whose use was significantly associated with vaccination against COVID-19 were: WhatsApp (p=0.004), Facebook (p=0.008), TikTok (p=0.021) and YouTube (p=0.015). YouTube was the source of information with a statistically significant association with vaccination against COVID-19 (p=0.015). The next three elements, i.e. knowledge of previous COVID-19 infection (p=0.01), knowledge of someone who had been infected with the disease (p=0.042) and knowledge of available COVID-19 vaccines (p&lt;0.001) were significantly linked to vaccination against COVID-19. Women who were aware of the available COVID-19 vaccines were 8.33 times more likely to be vaccinated. All the women surveyed were married, 25.7% of whom had been vaccinated, and those whose spouses had been vaccinated were 7.3 times more likely to be vaccinated in turn (p&lt;0.001). Conclusion: The results of this study demonstrate the need to raise awareness of COVID-19 vaccination among pregnant women, with the full involvement of the spouse. Priority should be given to raising awareness of the seriousness of COVID-19 in pregnant women, the benefits of being vaccinated and, of course, reassurance about the safety of the available COVID-19 vaccines.

Social Network Typologies and Digital Literacy Differences among Korean Older Adults: A Latent Class Analysis.

This study categorized older Korean adults' social networks and analyzed their characteristics and digital literacy differences based on type. We analyzed data from 9,377 Korean older adult participants of the 2020 National Survey of Older Koreans, and performed latent class analysis (LCA) chi-square and Welch's F analyses to understand the characteristics of each social network type. The Games-Howell post-hoc test was applied to determine the significance of differences between groups. The three social network types derived using LCA were "child-centered," "child-friend," and "friend-centered." The digital literacy levels differed significantly according to social network type. The results of this study can be used to propose intervention programs and services associated with older adults' social networks by examining their social network types and the corresponding differences in digital literacy.

Impact of Physical Activity and Bio-Psycho-Social Factors on Social Network Addiction and Gender Differences in Spanish Undergraduate Education Students.

Social network use has increased in recent years. Social networks are fast-changing and may cause negative effects such as dependence and addiction. Hence, it was decided to establish two research aims: (1) to identify the social network used by university students and their use levels according to their sex and (2) to analyse how age, body mass index, physical activity, emotional intelligence and social network type affect addiction to social networks according to young people's sex. A cross-sectional study was designed involving Spanish university students from Education Degrees. The mean age of the participants was 20.84 years (±2.90). Females made up 69.8% of the sample and males 30.2%. An online questionnaire was administered that included sociodemographic questions, IPAQ-SF and TMMS-24. This study found that all students use WhatsApp and more than 97% have YouTube and Instagram accounts. The linear regression model obtained was as follows: social network addiction = 3.355 + 0.336*emotional attention - 0.263*emotional clarity. There is a positive relationship between social network addiction and emotional attention (r = 0.25; p < 0.001) and negative relationships between social network addiction and emotional clarity (r = -0.16; p = 0.002) and between social network addiction and age (r = -0.17; p = 0.001). University students report lower levels of social network addiction and slightly higher levels of social network addiction among females. In addition, there are significant differences between the average social network addiction scores of university students in terms of their use of Telegram, TikTok and Twitch.