Social media uses amongst adolescents: motives, minority stress and eudaimonic well-being / Uso de redes sociales en adolescentes: motivación, estrés de minorías y bienestar eudaimónico

Introduction: The scientific evidence regarding the effects of online social media use on the well-being of adolescents is mixed. In gen-eral, passive uses (receiving, viewing content without interacting) and more screen time are related to lower well-being when compared with active uses (direct interactions and interpersonal exchanges). Objectives:This study ex-amines the types and motives for social media usage amongst adolescents, differentiating them by gender identity and sexual orientation, as well as its effects on eudaimonic well-being and minority stress. Method: A cross-sectional study was conducted with 1259 adolescents, aged 14 to 19 (M= 16.19; SD= 1.08), analysing the Scale of Motives for Using Social Net-working Sites, eudaimonic well-being, the Sexual Minority Adolescent Stress Inventory, screen time and profile type. Results:The results found that longer use time is related to finding partners, social connection and friendships; that gay and bisexual (GB) adolescents perceive more distal stressors online;and that females have higher levels of well-being. Discus-sion: The public profiles of GB males increase self-expression, although minority stress can be related to discrimination, rejection or exclusion. Dif-ferentiated socialization may contribute to a higher level of well-being in females, with both active and passive uses positively effecting eudaimonic well-being in adolescents.(AU)

Introduction: The scientific evidence regarding the effects of online social media use on the well-being of adolescents is mixed. In general, passive uses (receiving, viewing content without interacting) and more screen time are related to lower well-being when compared with active uses (direct interactions and interpersonal exchanges). Objectives: This study examines the types and motives for social media usage amongst adolescents, differentiating them by gender identity and sexual orientation, as well as its effects on eudaimonic well-being and minority stress. Method: A cross-sectional study was conducted with 1259 adolescents, aged 14 to 19 (M = 16.19; SD = 1.08), analysing the Scale of Motives for Using Social Networking Sites, eudaimonic well-being, the Sexual Minority Adolescent Stress Inventory, screen time and profile type. Results: The results found that longer use time is related to finding partners, social connection and friendships; that gay and bisexual (GB) adolescents perceive more distal stressors online; and that females have higher levels of well-being. Discussion: The public profiles of GB males increase self-expression, although minority stress can be related to discrimination, rejection or exclusion. Differentiated socialization may contribute to a higher level of well-being in females, with both active and passive uses positively effecting eudaimonic well-being in adolescents.(AU)

Improvements in mental health associated with increased electronic communication and deterioration in physical health in adults aged 50+ during the COVID-19 pandemic.

Background: Previous studies have documented changes in physical health, mental health and social parameters during COVID-19. At the same time, there are no comprehensive analyses of these parameters designed as longitudinal studies on large-scale older populations before and during the pandemic. Objective: This longitudinal study aims to provide a quantitative analysis of the COVID-19 impact on the physical, mental, and social parameters in adults aged 50 and older before, in the early stages, and during the COVID-19 pandemic. Methods: The data for this study were collected from three waves of the Survey of Health, Ageing and Retirement in Europe (SHARE), a supranational longitudinal database: pre-COVID (October 2019-March 2020), early-COVID (June-September 2020), and during-COVID (June-August 2021). The sample included 31,526 individuals, compared across the three-time points through nonparametric group comparison tests. Results: Physical health was subjectively rated as poorer in the during-COVID wave compared to the pre-COVID wave. Additionally, the number of illnesses or health conditions reported in the during-COVID wave was significantly higher than in the pre-COVID wave, with the biggest increases registered for cardiovascular diseases. The results also show that employment and overall social contact decreased while loneliness increased over time. Unexpectedly, mental health issues, such as sadness or depression and trouble sleeping, decreased significantly in the COVID waves compared to the pre-COVID wave. The analysis of two additional pre-COVID waves (2015, 2017) revealed that poorer pre-COVID mental health reflected in high values of sadness or depression and trouble sleeping was not an isolated peak but represented a typical baseline. The positive influence on the individuals' mental health during COVID-19 was found to be electronic communication, which showed higher values than face-to-face communication and lowered the odds of sadness or depression. Conclusion: Future policies should thus consider the positive impact of electronic contacts on mental health to promote overall health in adults aged 50 and older.

The gender agency gap in fiction writing (1850 to 2010).

Works of fiction play a crucial role in the production of cultural stereotypes. Concerning gender, a widely held presumption is that many such works ascribe agency to men and passivity to women. However, large-scale diachronic analyses of this notion have been lacking. This paper provides an assessment of agency attributions in 87,531 fiction works written between 1850 and 2010. It introduces a syntax-based approach for extracting networks of character interactions. Agency is then formalized as a dyadic property: Does a character primarily serve as an agent acting upon the other character or as recipient acted upon by the other character? Findings indicate that female characters are more likely to be passive in cross-gender relationships than their male counterparts. This difference, the gender agency gap, has declined since the 19th century but persists into the 21st. Male authors are especially likely to attribute less agency to female characters. Moreover, certain kinds of actions, especially physical and villainous ones, have more pronounced gender disparities.

Issues Related to the Use of Visual Social Networks and Perceived Usefulness of Social Media Literacy During the Recovery Phase: Qualitative Research Among Girls With Eating Disorders.

BACKGROUND: The patient-centered approach is essential for quality health care and patient safety. Understanding the service user's perspective on the factors maintaining the health problem is crucial for successful treatment, especially for patients who do not recognize their condition as clinically relevant or concerning. Despite the association between intensive use of visual social media and body dissatisfaction and eating disorders, little is known about the meanings users assign to posting or searching for edited photos and the strategies they use to protect themselves from digital risks. OBJECTIVE: This study aims to examine how young women recovering from eating disorders in Northern Italy perceive the health risks and potential benefits associated with visual social networks (ie, Instagram and Snapchat). The literature has found these platforms to be detrimental to online body comparisons. It also explores the perceived usefulness, willingness, and personal interest in coconstructing social media literacy programs with girls recovering from eating disorders. METHODS: A total of 30 semistructured interviews were conducted with adolescent girls aged 14-17 years at the end of their treatment for eating disorders. The following areas of research were addressed: (1) the meanings associated with the use of Instagram and Snapchat; (2) the investment in the photographic dimension and feedback; (3) the impact of visual social networks on body experiences; (4) the potential and risks perceived in their use; (5) the importance of supporting girls undergoing treatment for eating disorders in using social networks; and (6) the usefulness and willingness to co-design social network literacy programs. Content analysis was applied. RESULTS: A total of 7 main contents emerged: active or passive role in using social networks, the impact of online interactions on body image, investment in the photographic dimension, effects on self-representation, perceived risks, self-protective strategies, and potential benefits. The findings highlight a strong awareness of the processes that trigger body comparisons in the virtual context, creating insecurity and worsening the relationship with oneself. The self-protective behaviors identified are the development of critical thinking, the avoidance of sensitive content, increased control over social networking site use, and a certain skepticism toward developing antagonistic ideologies. All these topics were considered fundamental. CONCLUSIONS: The findings provide important insights for health professionals working with youth in preparing media literacy programs. These programs aim to reduce potential risks and amplify the positive effects of online resources. They underscore the importance of addressing this issue during hospitalization to develop skills and critical thinking aimed at changing small habits that perpetuate the problem in everyday life. The inherent limitations in current service practices, which may not adequately address individual needs or impact posttreatment life, must also be considered.

A Wireless Wearable Ecosystem for Social Network Analysis in Free-living Animals.

Studying animal social systems requires understanding variations in contact and interaction, influenced by factors like environmental conditions, resource availability, and predation risk. Traditional observational methods have limitations, but advancements in sensor technologies and data analytics provide new opportunities. We developed a wireless wearable sensor system, "Juxta," with features such as modular battery packs and a smartphone app for data collection. A pilot study on free-living prairie voles (Microtus ochrogaster), a species with complex social behavior, demonstrated Juxta's potential for studying social networks and behavior. We propose a framework for merging temporal, spatial, and event-driven data, which can help explore complex social dynamics across species and environments.

Environmental, socioeconomic, and health factors associated with gut microbiome species and strains in isolated Honduras villages.

Despite a growing interest in the gut microbiome of non-industrialized countries, data linking deeply sequenced microbiomes from such settings to diverse host phenotypes and situational factors remain uncommon. Using metagenomic data from a community-based cohort of 1,871 people from 19 isolated villages in the Mesoamerican highlands of western Honduras, we report associations between bacterial species and human phenotypes and factors. Among them, socioeconomic factors account for 51.44% of the total associations. Meta-analysis of species-level profiles across several datasets identified several species associated with body mass index, consistent with previous findings. Furthermore, the inclusion of strain-phylogenetic information modifies the overall relationship between the gut microbiome and the phenotypes, especially for some factors like household wealth (e.g., wealthier individuals harbor different strains of Eubacterium rectale). Our analysis suggests a role that gut microbiome surveillance can play in understanding broad features of individual and public health.

Network spillover effects associated with the ChooseWell 365 workplace randomized controlled trial to promote healthy food choices.

Food choices are closely linked to culture, social relationships, and health. Because many adults spend up to half their time at work, the workplace provides a venue for changing population health-related behaviors and norms. It is unknown whether the effects of a workplace intervention to improve health behaviors might spread beyond participating employees due to social influence. ChooseWell 365 was a randomized controlled trial testing a 12-month healthy eating intervention grounded in principles of behavioral economics. This intervention leveraged an existing cafeteria traffic-light labeling system (green = healthy; red = unhealthy) in a large hospital workplace and demonstrated significant improvements in healthy food choices by employees in the intervention vs. control group. The current study used data from over 29 million dyadic purchasing events during the trial to test whether social ties to a trial participant co-worker (n = 299 intervention, n = 302 control) influenced the workplace food choices of non-participants (n = 7900). There was robust evidence that non-participants who were socially tied to more intervention group participants made healthier workplace food purchases overall, and purchased a greater proportion of healthy (i.e., green) food and beverages, and fewer unhealthy (i.e., red) beverages and modest evidence that the benefit of being tied to intervention participants was greater than being tied to control participants. Although individual-level effect sizes were small, a range of consistent findings indicated that this light-touch intervention yielded spillover effects of healthy eating behaviors on non-participants. Results suggest that workplace healthy eating interventions could have population benefits extending beyond participants.

Beyond network centrality: individual-level behavioral traits for predicting information superspreaders in social media.

Understanding the heterogeneous role of individuals in large-scale information spreading is essential to manage online behavior as well as its potential offline consequences. To this end, most existing studies from diverse research domains focus on the disproportionate role played by highly connected 'hub' individuals. However, we demonstrate here that information superspreaders in online social media are best understood and predicted by simultaneously considering two individual-level behavioral traits: influence and susceptibility. Specifically, we derive a nonlinear network-based algorithm to quantify individuals' influence and susceptibility from multiple spreading event data. By applying the algorithm to large-scale data from Twitter and Weibo, we demonstrate that individuals' estimated influence and susceptibility scores enable predictions of future superspreaders above and beyond network centrality, and reveal new insights into the network positions of the superspreaders.

Social networks use in the context of Schizophrenia: a review of the literature.

Schizophrenia is a persistent mental health condition that, while presenting challenges, underscores the dynamic nature of cognitive functions and encourages a unique perspective on how individuals engage with their surroundings. Social networks, as a means of communication of great importance at the present time, are for this type of people a way of interacting with their environment with a high level of security. The aim is to find out how schizophrenia is dealt with in different social networks and to differentiate between different types of articles dealing with the use of Facebook, X (former Twitter), YouTube, TikTok, Instagram, and Weibo. A total of 45 articles to i) Social networks used, ii) Country of analyzed users, iii) age of the users analyzed, iv) focus of the analyzed manuscript (mental health literacy, stigmatization, detection of patterns associated with schizophrenia, and Harmful substance use). It was observed that 45.45% of the studies analyzed were conducted in the USA population, followed by UK and China (13.64%). The most analyzed social networks were those based on audiovisual communication (60%). Furthermore, the two main foci addressed in these articles were: stigmatization of schizophrenia with 16 articles (35.55%), following by the prediction of schizophrenia-detecting patterns with 15 articles (33.33%) and the use of social networks to stigmatize people with schizophrenia (38%) and only 14 articles (31.11%) were focused on mental health literacy. Likewise, it was found that there is great potential in the use of the analysis of the content generated, as possible predictors of the presence of this disease, which would allow rapid detection and intervention for psychosis and schizophrenia.

Concordance of HIV Prevention Advocacy Reports and its Associations with HIV Protective Behaviors.

Peer advocacy can promote HIV protective behaviors, but little is known about the concordance on prevention advocacy(PA) reports between people living with HIV(PLWH) and their social network members. We examined prevalence and correlates of such concordance, and its association with the targeted HIV protective behavior of the social network member. Data were analyzed from 193 PLWH(index participants) and their 599 social network members(alters). Kappa statistics measured concordance between index and alter reports of PA in the past 3 months. Logistic and multinomial regressions evaluated the relationship between advocacy concordance and alter condom use and HIV testing behavior and correlates of PA concordance. Advocacy concordance was observed in 0.3% of index-alter dyads for PrEP discussion, 9% for condom use, 18% for HIV testing, 26% for care engagement, and 49% for antiretroviral use discussions. Fewer indexes reported condom use(23.5% vs. 28.1%;[Formula: see text]=3.7, p=0.05) and HIV testing(30.5% vs. 50.5%; [Formula: see text]=25.3, p<0.001) PA occurring. Condom advocacy concordance was higher if the index and alter were romantic partners(OR=3.50; p=0.02), and lower if the index was 10 years younger than the alter(OR=0.23; p = 0.02). Alters had higher odds of using condoms with their main partner when both reported condom advocacy compared to dyads where neither reported advocacy(OR=3.90; p<0.001) and compared to dyads where only the index reported such advocacy(OR = 3.71; p=0.01). Age difference and relationship status impact advocacy agreement, and concordant perceptions of advocacy are linked to increased HIV protective behaviors. Alters' perceptions may be crucial for behavior change, informing strategies for improving advocacy.

Link Prediction in Dynamic Social Networks Combining Entropy, Causality, and a Graph Convolutional Network Model.

Link prediction is recognized as a crucial means to analyze dynamic social networks, revealing the principles of social relationship evolution. However, the complex topology and temporal evolution characteristics of dynamic social networks pose significant research challenges. This study introduces an innovative fusion framework that incorporates entropy, causality, and a GCN model, focusing specifically on link prediction in dynamic social networks. Firstly, the framework preprocesses the raw data, extracting and recording timestamp information between interactions. It then introduces the concept of "Temporal Information Entropy (TIE)", integrating it into the Node2Vec algorithm's random walk to generate initial feature vectors for nodes in the graph. A causality analysis model is subsequently applied for secondary processing of the generated feature vectors. Following this, an equal dataset is constructed by adjusting the ratio of positive and negative samples. Lastly, a dedicated GCN model is used for model training. Through extensive experimentation in multiple real social networks, the framework proposed in this study demonstrated a better performance than other methods in key evaluation indicators such as precision, recall, F1 score, and accuracy. This study provides a fresh perspective for understanding and predicting link dynamics in social networks and has significant practical value.

US black women's pregnancy communication networks: A qualitative network analysis.

The ongoing Black maternal health crisis necessitates a closer examination of how Black women in the United States utilize communication to mitigate the dangers racism poses for pregnancy, delivery and the postpartum period. Previous studies have highlighted the importance of supportive networks to Black women's wellbeing during pregnancy. However, few studies utilize a qualitative network approach to explore communication about pregnancy and related risks within a social network. Twenty-eight Black women from 12 US states who self-identified as previously, currently or recently pregnant, were recruited to participate in this study. Following data collection, participants' networks and related commentary from the interview were qualitatively analyzed for composition and context of networks (who is in the network and why?) and the content of communication (what is discussed and how?). This study found that Black women's perceptions of pregnancy risk and enactment of agency in response to risk was influenced by communication with individuals within their communication networks. The findings of this study also demonstrate that emotional support and guidance for navigating the dangers of the healthcare system constituted an important component of communication with strong ties, including partners, family members and close friends. Additionally, Black women enacted agency in response to pregnancy risk by leaning on trusted experts (healthcare providers) within their networks. However, this study also found limitations to the role of pregnancy communication networks. First, negative ties (relations) with alters (individuals with whom Black women have communication ties) and unwanted advice or guidance was found to be a source of stress. Furthermore, although mothers were an essential source of support for many women, differences related to generation, culture and the circumstances of pregnancy limited the relevance of the advice Black women receive from their mothers. Finally, immigrant women faced an additional challenge, as their support networks were sometimes geographically distant from them.

The role of social network diversity in self-perceptions of aging in later life.

While the link between self-perceptions of aging (SPA) and healthy aging is well established, less is known about the association between social factors and SPA. The present study investigated whether higher social network diversity is associated with more positive and less negative SPA and whether this association is moderated by age. We examined cross-sectional data from the German Ageing Survey of 2008 (DEAS; N = 6205, 40-85 years, 49.5% female). Network diversity was assessed as the number of social roles in an individual's network (such as spouse, friend and colleague). Three domains of SPA were measured using the Aging-Related Cognitions Scale (AgeCog): ongoing development (positive SPA), social losses (negative SPA) and physical losses (negative SPA). We conducted multiple linear regression models and tested for a moderator effect of age using an interaction term of age and network diversity. Results showed that at higher ages older adults with higher network diversity reported more positive SPA related to ongoing development and more negative SPA related to social losses than those with less diverse networks, indicating that age has a moderating effect. We found no association between network diversity and negative SPA related to physical losses and no indication that age was relevant to this relationship. The present study adds to evidence on the role of social networks in SPA. Our findings suggest that in certain SPA domains and depending on age, network diversity is related to both more positive and more negative SPA, which emphasizes the importance of considering domain-specific SPA.

The structure and function of antagonistic ties in village social networks.

Negative or antagonistic relationships are common in human social networks, but they are less often studied than positive or friendly relationships. The existence of a capacity to have and to track antagonistic ties raises the possibility that they may serve a useful function in human groups. Here, we analyze empirical data gathered from 24,770 and 22,513 individuals in 176 rural villages in Honduras in two survey waves 2.5 y apart in order to evaluate the possible relevance of antagonistic relationships for broader network phenomena. We find that the small-world effect is more significant in a positive world with negative ties compared to an otherwise similar hypothetical positive world without them. Additionally, we observe that nodes with more negative ties tend to be located near network bridges, with lower clustering coefficients, higher betweenness centralities, and shorter average distances to other nodes in the network. Positive connections tend to have a more localized distribution, while negative connections are more globally dispersed within the networks. Analysis of the possible impact of such negative ties on dynamic processes reveals that, remarkably, negative connections can facilitate the dissemination of information (including novel information experimentally introduced into these villages) to the same degree as positive connections, and that they can also play a role in mitigating idea polarization within village networks. Antagonistic ties hold considerable importance in shaping the structure and function of social networks.

Does so-called "healthy" content on instagram display balanced recipes? A pilot study in relation to the risk of unhealthy eating patterns in social network users.

OBJECTIVE: social networks (SN) including Instagram have increased in popularity. However, SN-mediated content may influence eating behaviors in a negative way. This study analyzed whether Instagram content claimed as "healthy" complies with nutritional guidelines. METHODS: recipes posted in French on Instagram with the caption #healthy or similar ones were analyzed, once from February to May 2023 and again in April 2024. Health authorities' guidelines and food pyramid inclusion criteria were used for the quantitative and qualitative analysis, respectively. Recipes were then classified as balanced, partially unbalanced or unbalanced, with the two subgroups "restrictive" and "excessive", and according to the main protein source. RESULTS: we coded a total of 114 courses (2 datasets of 57 courses each). Among these, 3 were classified as balanced main courses, 45 as partially unbalanced main courses and 66 as unbalanced main courses (21 were deemed as restrictive, 21 as excessive and 24 were otherwise inadequate), with a majority of hypocaloric courses. Approximately half of the recipes were vegetarian or vegan. DISCUSSION: these results suggest that food recipes published on Instagram as #healthy may, at times, be far from nutritional guidelines and could rather promote unbalanced eating patterns. This suggest that food-related content on SN might be insufficiently moderated and that recipes referenced as #healthy should perhaps be accompanied by warnings and preventive measures. This observation, in addition to other detrimental behaviors displayed on SN (e.g. extreme physical activity or body image pressure) may contribute to the increased incidence of eating disorders (ED) associated with problematic SN use. Alerts on this risk and accessible tools for the prevention and early detection of ED risk in SN users are urgently needed.

Technology at the Rescue? Online Games, Adolescent Mental Health and the COVID Pandemic.

The COVID pandemic has had a major impact on the mental health of the population, especially on female adolescents. Eating disorders and gender identity problems have increased markedly. Online activities have also grown enormously during this period occupying a large portion of adolescents' time. We explore the use of social networking and online gaming by adolescent girls and boys. We discuss their possible influence on different levels of psychological distress in boys and girls in the face of the pandemic. We propose that online games, mainly used by young boys, might offer them some emotional protection through mechanisms related to the body and its experience, to the group dynamics of competition, collaboration, and hierarchy, to the possibility of expressing aggression, and to the construction of a clearer and more stable identity. An unprejudiced look at new technologies is mandatory, if we are to avoid projecting our fears and expectations onto them.

Social and Environmental Characteristics Associated With Older Drivers' Use of Non-driving Transportation Modes.

Objective: We examined associations between older drivers' social and environmental characteristics and odds of using non-driving transportation modes. Methods: Using 2015 National Health and Aging Trends Study data for community-dwelling drivers (n = 5102), we estimated logistic regression models of associations between social characteristics, environmental characteristics, and odds of using non-driving transportation modes three years later. Results: Drivers had 20% increase in odds of getting rides three years later for each additional confidante (adjusted odds ratio [aOR] = 1.20, 95% confidence interval [CI]: 1.11-1.30). Drivers living in more walkable neighborhoods were more likely to walk to get places (National Walkability Index [NWI] score of 18 vs. 2 aOR = 1.71, 95% CI: 1.02-2.90) and take public transit three years later (NWI 18 vs. 2 aOR = 7.47, 95% CI: 1.69-33.0). Discussion: Identifying modifiable social and environmental characteristics can inform future interventions supporting older adults' health during the transition to non-driving.

Social network structure as a biopsychosocial suicide prevention target for young people at clinical high-risk for psychosis.

Young people who are at clinical high-risk for psychosis experience suicidal thoughts and behaviors at a greater rate than young people in the general population. However, no suicide prevention interventions have been specifically designed for or tested with this group of young people. To address this gap, we need to identify and leverage malleable potential intervention targets that can be measured at multiple levels of analysis. Here, we argue that social network structure, or the pattern of relationships in which a person is embedded, offers one potential target for intervention. We first provide a select review of what is currently known about social network structure and suicide risk, social network disruption among people at clinical high-risk for psychosis, and inflammatory processes as a potential underlying metric of social bond disruption. We then propose opportunities to advance suicide prevention research focused on young people at clinical high-risk for psychosis, with an eye toward establishing a foundation for future interventions that can account for biological, psychological, and social domains.

Prediabetes Progression and Reversion: Social Factors and Racial/Ethnic Differences.

OBJECTIVE: Racial and ethnic minorities are disproportionately affected by diabetes. Social characteristics, such as family structure, social support, and loneliness, may contribute to these health disparities. In a nationally representative sample of diverse older adults, we evaluated longitudinal rates of both progression from prediabetes to diabetes and reversion from prediabetes to normoglycemia. RESEARCH DESIGN AND METHODS: Using the longitudinal Health and Retirement Study (2006-2014), our sample included 2625 follow-up intervals with a prediabetes baseline (provided by 2229 individuals). We analyzed 4-year progression and reversion rates using HbA1c and reported presence or absence of physician-diagnosed diabetes. We utilized chi-square and logistic regression models to determine how race/ethnicity and social variables influenced progression or reversion controlling for comorbidities and demographics. RESULTS: Overall, progression to diabetes was less common than reversion (17% vs. 36%). Compared to Whites, Hispanic/Latino respondents had higher odds of progression to diabetes from prediabetes while Black respondents had lower odds of reversion, adjusting for physical health and demographics. For social variables, Hispanics/Latinos had the highest reliance on and openness with family and the lowest rates of loneliness. The inclusion of social variables in regression models reduced the odds of progression for Hispanics/Latinos but did not alter Black's lower rate of reversion. CONCLUSIONS: Hispanic/Latinos and Blacks not only had different transition pathways leading to diabetes, but also had different social profiles, affecting Hispanic/Latino progression, but not Black reversion. These differences in the influence of social variables on diabetes risk may inform the design of culturally-specific efforts to reduce disparities in diabetes burden.

Advancing the Measurement of Social Functioning in Schizophrenia: Applications of Egocentric Social Network Analysis.

People with schizophrenia face challenges with forming and maintaining social relationships, often resulting in poor social functioning. Commonly used measures of social functioning provide broad information relating to social relationships, but they do not adequately capture information regarding network structure and characteristics of network members. One method that can assess these more detailed aspects of social networks and provide a more comprehensive understanding of social functioning deficits is egocentric social network analysis (SNA). SNA is a scientific discipline that uses principles of network science and graph theory to analyze social relations quantitatively. Even though some types of SNA have been applied in prior schizophrenia studies, its application as a framework to measure social functioning has been extremely limited. Therefore, this article aims to formally introduce SNA and select quantitative SNA metrics, including measures of network composition, structure, homophily, and centrality, to schizophrenia researchers as novel ways of measuring components of social functioning. To demonstrate the application of SNA, we provide illustrative examples of the SNA metrics and graphical diagrams of social networks for two individuals with schizophrenia.