Changes In Social Networks Research Articles

Understanding social network and cognitive function among Korean immigrant older adults in the United States

AbstractBackgroundSocial networks provide benefits to older adults, including some positive impact on cognitive health. Immigrant older adults with limited English proficiency in the United States (US) may experience the disruption of social network change resulting from their relocation compounded with language barriers. Despite the central role of social networks in older adults’ cognitive function, little information is available about actual social network size among immigrant older adults in the US and how social network sizes are associated with their cognitive status.MethodKorean American (KA) older adults represent one of the fastest growing, yet some of the most vulnerable groups in the US due to their limited English proficiency. PLAN—Preparing health aging through Dementia literacy And Navigation—is an ongoing, multi‐site clinical trial involving KA older adults (65+ years) with probable dementia with a goal of promoting their linkage to dementia care. Potential participants go through cognitive screening using Mini‐Mental State Exam (MMSE) to confirm eligibility. Part of the screening process involves a survey about social network using Lubben Social Network Scale‐6 as availability of a caregiver is part of eligibility criteria. Using eligibility screening data, we investigated social network among community‐dwelling KA older adults and its association with MMSE status after controlling for age, sex, and education.ResultA total of 747 KA older adults (mean age = 77 years, 28% male, and 61% ≤high school) were included in the analysis. More than one third (35%) of the sample had a score <12 on the Lubben scale, indicating being “at risk for social isolation.” Logistic regression analysis revealed that KA older adults who were at risk for social isolation had more than twice higher odds (adjusted odds ratio = 2.007, p = 0.002) of being MMSE positive (i.e., cognitive decline) than those who were not, after controlling for age, sex, and education.ConclusionSocial network analyses have potential to present much needed information in relation to older adults’ health status. Our findings suggest the urgent need for social support resources in this socially disadvantaged group of immigrant older adults. Future research should investigate effective strategies to enable access to the resources of wellness in the population.

Effects of Economic Status on Changes in Social Networks and Mental Health after Using Hearing Aids.

Hearing impairment affects social networks and mental health. Hearing aids (HA) can improve these deficits. However, their effects might be affected by various factors such as economic status (ES). This study aimed to identify how ES could moderate the effects of HA on social networks, depressive mood, and cognition. A prospective cohort for new HA users was established and classified into two groups based on their ES: a low ES group (LES group) and a medium to high ES group (MHES group). Audiological examination, Lubben social network scale-18 (LSNS-18), Short form of Geriatric Depression Score, Mini-Mental State Examination in the Korean version of the CERAD Assessment Packet, and surveys for satisfaction with HA were conducted before and at six months after wearing HA. Post-HA application LSNS-18 scores were not improved in the LES group whereas they revealed significant improvement in the MHES group (p = 0.003). The LES group showed lower LSNS-18 score (p = 0.020) and its change (p = 0.042) than the MHES group. Additionally, patients with depressive moods in the MHES group showed better improvements than those in the LES group (p = 0.048). The effects of wearing HA on cognition and satisfaction with HA were not significantly different between the two groups. HA did not improve social relationships and depressive moods in the LES group. Comprehensive and multidirectional support as well as hearing rehabilitation may be important for patients with LES. 3 (Nonrandomized controlled cohort/follow-up study) Laryngoscope, 134:2387-2394, 2024.

Pathological network changes in patients with social anxiety disorder before and after an Internet-based CBT

A network perspective may shed light on the understanding of Internet-based CBT efficacy for social anxiety disorder. Previous cross-sectional evidence revealed a densely interconnected network for individuals with social anxiety. Yet, longitudinal network changes before and after ICBT are lacking. This study aimed to investigate pathological network changes with Graphical Gaussian Model among patients with social anxiety disorder (n = 249). Social phobia scale (SPS) and Social interaction anxiety scale (SIAS) were measured before and after 8 weeks Internet-based CBT. Results revealed the connection between symptom tension when speaking and symptom awkward when being watched was the most robust edges during ICBT interventions. The pathological network benefited from ICBT and exhibited modification in several prominent interconnections. The overall network connectivity continues to exhibit comparable strength after ICBT. This study represents the first examination of social anxiety network changes after patients with SAD completed a systematic ICBT. Changes in critical edges and nodes provide valuable insights for the design and efficacy assessment of ICBT interventions.

Disentangling perceptions of social support and social capital as social determinants of mental health: COVID-19 personal networks of immigrants and non-migrants in Portugal

Social network changes may occur during disruptive events (e.g., COVID-19), especially with immigrants who need to rebuild networks, undermining their mental health. Study 1 (N =18) investigates immigrants' perceived changes before and during the pandemic in their networks, mental health, social support and social capital. Study 2 (N =53) examines the same in a sample of non-migrants. Convenience samples were collected online between July and November 2020, addressing participants' perceived health networks and mental health through name generators (alters’ names), name interpreters (attributes), position generator (social capital), and the Mental Health Inventory-5. E-net software assessed the network's efficiency and homophily. Study 1 results revealed immigrants reduced their mental health, and network changes by decreasing social support, efficiency and social capital. In study 2, non-migrant network changes were small, not compromising their efficiency and social capital. Contributions suggest the importance of health crisis management with actions to support migrant social networks.

Occupation-related factors affecting the health of migrants working during the COVID-19 pandemic – a qualitative study in Norway

BackgroundThe effects of the COVID-19 pandemic were more pronounced among migrants than in the majority population and went beyond those directly caused by the virus. Evidence suggests that this overburden is due to complex interactions between individual and structural factors. Some groups of working migrants were in vulnerable positions, overrepresented in essential jobs, under precarious work conditions, and ineligible for social benefits or special COVID-19 economic assistance. This study aimed to explore the experience of migrants working in Norway during the COVID-19 pandemic to gather an in-depth understanding of the pandemic´s impact on their health and well-being, focusing on occupation-related factors.MethodsIn-depth personal interviews with 20 working migrants from different job sectors in Bergen and Oslo were conducted. Recruitment was performed using a purposive sampling method. Thematic analysis was used.ResultsAt the workplace level, factors such as pressure to be vaccinated, increased in occupational hazards, and increased structural discrimination negatively impacted migrants’ health. Other factors at the host country context, such as changes in social networks in and out of the workplace and changes in the labour market, also had a negative effect. However, the good Norwegian welfare system positively impacted migrants’ well-being, as they felt financially protected by the system. Increased structural discrimination was the only factor clearly identified as migrant-specific by the participants, but according to them, other factors, such as changes in social networks in and out of the workplace and social benefits in Norway, seemed to have a differential impact on migrants.ConclusionsOccupational-related factors affected the health and well-being of working migrants during the pandemic. The pressure to get vaccinated and increased structural discrimination in the workplace need to be addressed by Norwegian authorities as it could have legal implications. Further research using intersectional approaches will help identify which factors, besides discrimination, had a differential impact on migrants. This knowledge is crucial to designing policies towards zero discrimination at workplaces and opening dialogue arenas for acknowledging diversity at work.

A Prospective Sociocentric Study of 2 Entire Traditional Korean Villages: The Korean Social Life, Health, and Aging Project (KSHAP).

The Korean Social Life, Health, and Aging Project (KSHAP) was a multidisciplinary prospective study conducted in South Korea that measured various health biomarkers from blood, hair, and brain magnetic resonance imaging, and we examined their associations with sociocentric (global) social network data of older adults in 2 entire villages (or cohorts). Cohort K included participants aged 60 years or older, and cohort L included participants aged 65 years or older. We performed a baseline survey involving 814 of the 860 individuals (94.7% response rate) in cohort K in 2012 and 947 of the 1,043 individuals (90.8% response rate) in cohort L in 2017. We gathered longitudinal data for 5 waves in cohort K from 2011 to 2019 and 2 waves in cohort L from 2017 to 2022. Here, we describe for the first time the follow-up design of the KSHAP, the changes in social networks, and various biomarkers over a number of years. The data for cohort K are publicly available via the Korean Social Science Data Archive as well as the project website, and the data for cohort L will be shared soon.

Assessment of livelihood vulnerability to climate change in Phu Hoa district, Phu Yen Province, Vietnam

This study aims to assess the livelihood vulnerability in Phu Hoa district, Phu Yen Province, which is located in Vietnam’s southern middle coastal areas. Climate change has strongly impacted coastal areas and threatened the living conditions there. Using the Livelihood Vulnerability Index (LVI), 200 local households were surveyed to determine the level of livelihood vulnerability in Phu Hoa district. In the results, LVI increased from 0 to 0.4. The values indicated that household characteristics are the least vulnerable of the choosing factors (0.114), followed in ascending order by water source (0.230), food (0.237), social network (0.238), health (0.271), livelihood strategies (0.370), natural disasters and climate change (0.399). The overall LVI in Phu Hoa district reached a moderate level of 0.270. It is expected that the study will serve as a reference document that provides administrators and the community with information to proactively adapt and develop policies and strategies to support and mitigate the effects of natural disasters.

Disparities in Alcoholics Anonymous Participation from 2000 to 2020 Among U.S. Residents With an Alcohol Use Disorder in the National Alcohol Survey.

Mutual-help groups (MHGs) like Alcoholics Anonymous (AA) are effective for resolving alcohol use disorders (AUDs), but few studies have examined disparities in MHG participation, particularly recently. We used five waves of National Alcohol Survey data to investigate whether prevalence of AA attendance among those with a lifetime AUD differed by race/ethnicity, age, and sex, directly testing whether these associations varied with time. Analyses pooled weighted data from 2000 to 2020, including only participants with a lifetime AUD and identifying as non-Hispanic White, Latinx/Hispanic, or non-Hispanic Black/African American (N = 8,876). Logistic regression models examined associations between lifetime AA attendance and survey year, race/ethnicity, age, and sex; models also tested for differences in demographic effects across survey year using interaction terms. In bivariate models, AA attendance was significantly less prevalent among participants identifying as Latinx/Hispanic (vs. White); ages 18-29 (vs. 30-64); and female (vs. male). Survey year was unrelated to AA attendance, and all interactions involving survey year were nonsignificant. In the final multivariate model (which controlled for severity and other help-seeking), disparities persisted for those identifying as Latinx/Hispanic (vs. White; adjusted odds ratio [aOR] = 0.63) and ages 18-29 (vs. 30-64; aOR = 0.35); AA attendance was also less prevalent among Black/African American (vs. White) participants (aOR = 0.59), but sex became nonsignificant. Results replicate and extend sparse findings regarding disparities in MHG attendance and suggest a stagnation in AA's growth and reach to underserved populations. Findings highlight the need to more effectively facilitate MHG attendance (and perhaps broader social network change) among racial/ethnic minorities and emerging adults.

Female Higher Education Students’ Lived Experiences during the COVID-19 Pandemic: The Case Study Viewed through a Phenomenological Lens

This paper examines the subjective realities of female students in higher education as they navigated their well-being and active lives during the COVID-19 pandemic. Drawing upon Merleau-Ponty’s phenomenological framework, which confronts an often-neglected dimension of our experience—the lived body and the phenomenal world—we aim to inform the development of targeted support and interventions to address the specific needs of female students, in future pandemic times. By exploring how three female students studying sport and recreation in higher education perceived their experiences, this article seeks to shed light on the unique challenges faced by these women in maintaining physical activity, coping with isolation and a change in social networks, and managing their mental health in the context of the pandemic. Understanding these subjective realities (such as isolation, restricted physical activity, and loss of social connections) and interpreting the three students’ lived habitats, their bodily responsiveness, and their spontaneity ensures that their experience is heard, and appropriate future support can be given.

Implications of the COVID-19 Pandemic on the Family Structural Dimensions: A Correlational Study.

The COVID-19 pandemic caused changes in the families' social support network, employment status, and family income, which are the focus of attention of family health nurses. This study aims to describe the pandemic's repercussions in the areas of attention of the structural dimension of families according to the Dynamic Model of Family Assessment and Intervention, as perceived by Portuguese families, and to relate the changes in their employment status according to the variables of the structural dimension. A quantitative, descriptive, and correlational study was conducted using snowball sampling. A questionnaire of sociodemographic characterization and assessment of the family structural dimension according to the model's operational matrix was applied to 235 family members. Changes were found in their employment status; family income; intensity and frequency of contact with family, friends, and coworkers; frequency of contact with educational/health/religious institutions and community groups; cultural activities; and housing comfort conditions such as the use of heating/air conditioning, gas, and water consumption. Changes in employment status were related to family income, interaction with friends, frequency of cultural activities, and use of air conditioning and heating. Knowing the implications of the pandemic on the family's structural dimension results in a nursing intervention more focused on family needs.

Influence of online collaborative learning on social network and academic performance of medical students: lessons learned from the COVID-19 pandemic.

The social distancing restrictions due to the COVID-19 pandemic have changed students' learning environment and limited their social interactions. Therefore, the objective of this study was to investigate the influence of the social distancing restrictions on students' social networks, wellbeing, and academic performance. We performed a questionnaire study in which 102 students participated before and 167 students during the pandemic. They completed an online questionnaire about how they formed their five peer social networks (study-related support, collaboration, friendship, share information, and learn-from) out-of-class. We performed social network analysis to compare the sizes, structures, and compositions of students' five social networks before and during the pandemic, between first- and second-year students, and between international and domestic students. Additionally, we performed Kruskal-Wallis H test to compare students' academic performance before and during the pandemic. We performed thematic analysis to answers for two open-end questions in the online questionnaire to explore what difficulties students encountered during the COVID-19 pandemic and what support they needed. The results showed that the size of students' social networks during the pandemic was significantly smaller than before the pandemic. Besides, the formation of social networks differed between first- and second-year students, and between domestic and international students. However, academic performance did not decline during the COVID-19 pandemic. Furthermore, we identified three key areas in which students experienced difficulties and needed support by thematic analysis: social connections and interactions, learning and studying, and physical and mental wellbeing. When institutions implement learning with social distancing, such as online learning, they need to consider changes in students' social networks and provide appropriate support.

Social Connectivity and Coping Among Vulnerable Veterans During the COVID-19 Pandemic

Abstract: The coronavirus disease 2019 (COVID-19) pandemic dramatically changed how people socialized. However, little is known about the extent to which the pandemic changed the social connections of people with tenuous interpersonal relationships at baseline, including homeless-experienced people and people with psychotic disorders. We sought to understand how these populations experienced changes in their social connectivity and to identify coping strategies employed. We conducted 43 semi-structured interviews with 27 vulnerable participants (11 homeless-experienced people and 16 people with psychotic disorders) and 16 comparison group participants, all of whom used services at the Department of Veterans Affairs (VA). Vulnerable participants in both groups had sparse prepandemic social connectedness; few perceived pandemic-related social network changes. While many homeless-experienced participants struggled with transitioning to technology to communicate, participants with psychotic disorders used technology to stay connected. Resilience derived from military service experiences was adaptive during the pandemic, complemented by VA services that provided supports.

Modelling and monitoring social network change based on exponential random graph models

This paper aims to detect anomalous changes in social network structure in real time and to offer early warnings by phase II monitoring social networks. First, the exponential random graph model is used to model social networks. Then, a test and online monitoring technique of the exponential random graph model is developed based on the split likelihood-ratio test after determining the model and its parameters for a specific data set. This proposed approach uses pseudo-maximum likelihood estimation and likelihood ratio to construct the test statistics, avoiding the several steps of discovering Monte Carlo Markov Chain maximum likelihood estimation through an iterative method. A bisection algorithm for the control limit is given. Simulations on three data sets Flobusiness, Kapferer and Faux.mesa.high are presented to study the performance of the procedure. Different change points and shift sizes are compared to see how they affect the average run length. A real application example on the MIT reality mining social proximity network is used to illustrate the proposed modelling and online monitoring methods.

Social Network Changes in Cotton-Top Tamarins (Saguinus oedipus) after the Birth of New Infants.

Cotton-top tamarins (Saguinus oedipus) are characterized by a system of cooperative breeding where helpers, in addition to the reproductive pair, contribute to infant care. Grooming interactions between individuals play an important role in establishing social relationships, creating an interconnected social network in the group. We used social network analysis to investigate the social structure of two groups of cotton-top tamarins with different sizes and compositions and study whether they remain stable after the birth of new infants. We also investigated the possible correlation between the time spent carrying infants and an increase in the grooming centrality. We found that group A (n = 13) had a stable grooming network that showed consistent stability after the birth, although group B (n = 8 and no adult helpers) changed its grooming network and showed a lower density after the birth. Infant carrying was not correlated with increased grooming centrality after the birth. These findings highlight the usefulness of social network analysis in the study of group structure in cooperatively breeding primates and suggest that the birth of offspring has a greater impact on the stability of groups without adult helpers.

A soft set theoretic approach to network complexity and a case study for Turkish Twitter users

There are a few different angles from which to examine the question of how to determine whether social networks, which belong to the category of complex systems, are neither totally regular nor totally arbitrary. The theory of soft sets, which is a form of soft computing, is used in this study to analyze how the degree of complexity of a social network changes in response to an external stressor. By taking this strategy, conversation subjects within social networks are able to incorporate participation from more than just two individuals. This research also presents the imprecise technique using a Bayesian approach to soft modeling that is used to determine complexity. These soft sets enable complexity computations to be performed on directed networks established by Turkish Twitter users and acquired everyday during the Covid-19 stress period. This study additionally involves the forming of comparisons with the compositional and structural complexity observations of the underlying network. The findings demonstrate that the soft set techniques that were utilized in the complexity computation of the social network are both efficient and trustworthy.

Retirement’s impact on health: what role does social network play?

While a large body of literature investigates the bidirectional relationship between retirement and health, few have analyzed the mechanism through which retirement affects health which will provide important policy instrument insights. Using three waves of National Social Life, Health, and Aging Project, we examine the mediating role of the social network in the relationship between retirement and health in USA. We address the endogeneity and reverse causality through panel instrumental fixed-effect methods. We apply both single and parallel mediation analyses to identify the potential mechanism by which social network characteristics mediate the impact of retirement on health. Findings reveal that retirement adversely affects physical and mental health outcomes, and a considerable portion of these effects are explained by social network changes post-retirement. Specifically, 58% of reduction in the probability of reporting good physical health and 4.5% of increment in chances of having depression symptoms post-retirement can be explained by shrinkage in the size of social network in retirees. Using parallel mediation identification to account for dependencies among social network features, we find that social network size induces 79.5% reduction in probability of reporting good physical health and 18.6% increase in probability of having depression in retirees as compared to non-retirees. Findings in this paper suggest that investing in social network of the elderly can buffer the adverse health effect of retirement and can be an effective policy target for promoting healthy aging.

Peer learning and cultural evolution

AbstractIn this article, we integrate cultural evolutionary theory with empirical research from developmental psychology, cultural anthropology, and primatology to explore the role of peer learning in the development of complex instrumental skills and behavioral norms. We show that instrumental imitation, contingent teaching, generative collaboration, and selective copying contribute to domain‐specific transmission of knowledge between peers. Stages of development and characteristics inherent to the learner and model influence how and when children learn from each other. Peer learning is persistent across societies despite cultural beliefs that favor adult–child transmission in some settings. Comparative research hints at the possibility that children's greater motivation to interact with and learn from each other may set humans apart from other primates. We conclude by outlining avenues for future research, including how individual characteristics and developmental changes in social networks, motivation, and cognition may contribute to cultural evolution.

Online health community for change: Analysis of self-disclosure and social networks of users with depression.

A key research question with theoretical and practical implications is to investigate the various conditions by which social network sites (SNS) may either enhance or interfere with mental well-being, given the omnipresence of SNS and their dual effects on well-being. We study SNS' effects on well-being by accounting for users' personal (i.e., self-disclosure) and situational (i.e., social networks) attributes, using a mixed design of content analysis and social network analysis. We compare users' within-person changes in self-disclosure and social networks in two phases (over half a year), drawing on Weibo Depression SuperTalk, an online community for depression, and find: ① Several network attributes strengthen social support, including network connectivity, global efficiency, degree centralization, hubs of communities, and reciprocal interactions. ② Users' self-disclosure attributes reflect positive changes in mental well-being and increased attachment to the community. ③ Correlations exist between users' topological and self-disclosure attributes. ④ A Poisson regression model extracts self-disclosure attributes that may affect users' received social support, including the writing length, number of active days, informal words, adverbs, negative emotion words, biological process words, and first-person singular forms. We combine social network analysis with content analysis, highlighting the need to understand SNS' effects on well-being by accounting for users' self-disclosure (content) and communication partners (social networks). Authentic user data helps to avoid recall bias commonly found in self-reported data. A longitudinal within-person analysis of SNS' effects on well-being is helpful for policymakers in public health intervention, community managers for group organizations, and users in online community engagement.

Stability and change in newlyweds' social networks over the first years of marriage.

Marriage sanctifies the relationship between two spouses, but what happens to their relationships with family, friends, and others who comprise their social networks? Scholarly accounts disagree about whether couples' networks strengthen, weaken, or remain stable in the years after marriage. To reconcile competing perspectives, marriage licenses from lower income communities were used to recruit 462 spouses (231 couples) in their first marriages. Each spouse independently provided data on 24 network members with whom they interact regularly (over 11,000 network members). These data were used to calculate 14 dimensions of each spouse's social network, and networks were assessed in this way three times over the first 18 months of marriage. Over time, spouses' networks grew to include more of each other's family members, more married and financially secure individuals and more members with whom they reported good relationships. For husbands, proportions of their own friends and their wives' friends declined. Proportions of own family and members providing support did not change. With rare exceptions, these changes were not moderated by premarital parenthood, cohabitation, or relationship duration. Thus, regardless of a couples' premarital history, getting married itself appears to be associated with specific changes in spouses' social networks. Yet whether those changes broaden or narrow their networks depends on where in the network one looks. Illuminating how relationships between spouses are shaped by relationships outside the marriage therefore requires multifaceted assessments that are capable of distinguishing among discrete elements of couples' social networks. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Neighborhood conditions and social network turnover among older adults

Increasing research highlights heterogeneity in patterns of social network change, with growing evidence that these patterns are shaped in part by social structure. The role of social and structural neighborhood conditions in the addition and loss of kin and non-kin network members, however, has not been fully considered. In this paper, we argue that the residential neighborhood context can either facilitate or prevent the turnover of core network relationships in later life – a period of the life course characterized by heightened reliance on network ties and vulnerability to neighborhood conditions. Using longitudinal data from the National Social Life, Health, and Aging Project linked with data from the American Community Survey, we find that higher levels of neighborhood concentrated disadvantage are associated with the loss of older adults’ kin and non-kin network members over time. Higher levels of perceived neighborhood social interaction, however, are associated with higher rates of adding non-kin network members and lower rates of adding kin network members over time. We suggest that neighborhood conditions, including older adults’ perceptions of neighborhood social life, represent an underexplored influence on kin and non-kin social network dynamics, which could have implications for access to social resources later in the life course.