Longitudinal Social Network Data Research Articles

Alcohol consumption as a socially contagious phenomenon in the Framingham Heart Study social network

We use longitudinal social network data from the Framingham Heart Study to examine the extent to which alcohol consumption is influenced by the network structure. We assess the spread of alcohol use in a three-state SIS-type model, classifying individuals as abstainers, moderate drinkers, and heavy drinkers. We find that the use of three-states improves on the more canonical two-state classification, as the data show that all three states are highly stable and have different social dynamics. We show that when modelling the spread of alcohol use, it is important to model the topology of social interactions by incorporating the network structure. The population is not homogeneously mixed, and clustering is high with abstainers and heavy drinkers. We find that both abstainers and heavy drinkers have a strong influence on their social environment; for every heavy drinker and abstainer connection, the probability of a moderate drinker adopting their drinking behaviour increases by 40%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$40\\%$$\\end{document} and 18%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$18\\%$$\\end{document}, respectively. We also find that abstinent connections have a significant positive effect on heavy drinkers quitting drinking. Using simulations, we find that while both are effective, increasing the influence of abstainers appears to be the more effective intervention compared to reducing the influence of heavy drinkers.

The Social Dynamics of Fun: Can Fun Youth Bring Peers Together and Positively Influence Their Friends?

There is a critical gap in our understanding of how peer relationships contribute to positive youth development. To address this gap the current study uses longitudinal social network data to examine if fun youth were socially desirable, inclusive of peers, and positive agents of social influence during the transition to adolescence. Participants were 210 students (47% female; Mage = 11.55 years at the outset) from 8 classes in 3 schools in a small Lithuanian city. Each child received a fun score consisting of nominations from classmates as "someone who is fun to be around". Participants also nominated up to five classmates as friends. Fun students received more friendship nominations than their peers and they maintained higher levels of social desirability over time. Fun youth appeared to be inclusive of their peers in that fun youth did not appear to have preferences to befriend only those like themselves. The friends of fun youth were positively influenced such that they were perceived to be more fun over time. The findings suggests that fun youth may promote positive social change within peer groups.

Creating an interdisciplinary collaborative network of scholars in child maltreatment prevention: A network analysis of the Doris Duke Fellowships for the Promotion of Child Well-Being

BackgroundChild maltreatment is a complex problem requiring interdisciplinary collaborative research to generate innovative solutions. The Doris Duke Fellowships for the Promotion of Child Well-Being were designed to identify and nurture emerging scholars committed to child maltreatment prevention and create a supportive interdisciplinary learning network. ObjectiveThis paper examines connectivity within the collaborative network created by the fellowships program using longitudinal social network data. Participants and SettingParticipants were 120 individuals selected as Doris Duke Fellows during their doctoral training at universities in the United States. MethodsFellows completed annual, voluntary web-based surveys to assess their interactions with other fellows during the past year. Social network analysis methods were used to assess the strength and quality of the learning network over a four-year period. ResultsAcross four years of data, there were increases in the number of connections, proportion of cross-cohort connections, and proportion of interdisciplinary connections. Network analyses showed a highly connected network consisting of primarily medium- and high-quality connections between fellows from different disciplines. The number of scientific journal articles authored by two or more fellows grew substantially over time. ConclusionsFindings indicate the collaborative network created by the fellowships program is growing and strengthening over time. The new Child Well-Being Research Network extends the fellowships network to a broader group of scholars and professionals to advance diversity, equity, inclusion, and justice in the field of child well-being research.

The dynamics of intergenerational closure and family networks of social cohesion.

We investigate the correlation of ties among school-children's parents with violence in schools, and two mechanisms of intergenerational closure (IC). Coleman described ties among parents of befriended children as IC. Until now, IC indicated social capital in schools and neighborhoods, but existing evidence is rather ambiguous and does not utilize network data. According to "top-down." IC, children establish network ties because of the acquaintance among their parents. "Bottom-up" IC implies that children make friends first and then their parents get involved. We use longitudinal social network data from k = 10 school classes and N = 238 adolescents and disentangle the two different dynamics of IC by applying Bayesian stochastic actor-oriented models (SAOMs) for network evolution. SAOMs show positive "top-down" and "bottom-up" effects on IC, with the latter being considerably stronger.

Reprint of: The Swiss StudentLife Study: Investigating the emergence of an undergraduate community through dynamic, multidimensional social network data

The Swiss StudentLife Study (SSL Study) is a longitudinal social network data collection conducted in three undergraduate student cohorts (N1 = 226, N2 = 261, N3 = 660) in 2016−2019. The main goal of the study was to understand the emergence of informal student communities and their effects on different individual outcomes, such as well-being, motivation, and academic success. To this end, multiple dimensions of social ties were assessed, combining computer-based surveys, social sensors, social media data, and field experiments. The dynamics of these social networks were measured on various time scales. In this paper, we present the design and data collection strategy of the SSL Study. We discuss practical challenges and solutions related to the data collection in four areas that were key to the success of our project: study design, research ethics, communication, and population definition.

The role of full- and half-day preschool attendance in the formation of children's social networks

In the United States, the duration of children's preschool attendance differs, with some children attending full-day preschool and some children attending half-day preschool. This difference provides uneven daily exposure to peers that may have implications for childhood social outcomes, including the formation of social networks over time. In this study, we examined the role of full- and half-day preschool attendance in children's social network formation. Specifically, using stochastic actor-oriented modeling (i.e., a type of longitudinal social network analysis appropriate for measuring relationship formation over time), we analyzed longitudinal social network data from an intensive observational study of 25 three-year-old and 28 four-year-old students’ social play relationships in 2 preschool classrooms over the course of an entire school year. Our results provide no evidence that attending full-day preschool has a positive effect on the formation of social play relationships in early childhood. Instead, 3-year-old children who attended full-day preschool were significantly less likely than their half-day peers to form social play relationships over time. We discuss potential developmental and contextual factors that might explain this finding as well as future directions for research and practice.

Studying Youth’ Group Identities, Intergroup Relations, and Friendship Networks: The Friendship and Identity in School Data

AbstractThis data brief introduces the Friendship and Identity in School (FIS) dataset. The FIS data are school-based longitudinal social network data, which have become increasingly important in recent years. Including information on 2,500 adolescents in nine secondary schools in the German federal state of North Rhine-Westphalia, the FIS data have four important key features that make them uniquely suited for studying the co-evolution of friendship networks and group identities or other time-varying individual characteristics. Specifically, the data include (i) fine-grained multidimensional measures of youth’ ethnic, national, and religious identities, (ii) comparatively large social networks that span multiple classrooms, (iii) up to six waves over four and a half years, and (iv) an ethnoreligiously diverse sample. Besides friendship and identity, the data include other network dimensions such as romantic relations or dislike as well as repeated measurements of various individual attributes ranging from perceived discrimination over intergroup attitudes and religion to leisure time activities and students’ perceptions of parents’ identities and attitudes. In combination, the FIS data provide rich longitudinal information that allows researchers to study the development, change, and interplay of youth’ group identities and friendship networks as well as broader questions concerning intergroup relations, network formation, and peer influence.

On Their Own? The Work-Related Social Interactions and Turnover of New Teachers

Work-related social interactions are key to the effectiveness and retention of new teachers, yet little research has examined changes in these networks over time. Using longitudinal social network data from 14 elementary schools, this study explores new teachers’ instructional advice interactions with their colleagues. Results suggest that new teachers are relatively peripheral to their schools’ networks, maintain similar advice-seeking patterns as their early careers progress, and that new teachers’ advice-seeking predicts leaving their schools or teaching the following year. These findings have implications for efforts to support new teachers’ collegial interactions and retention.

Moderators of Friend Selection and Influence in Relation to Adolescent Alcohol Use.

Friendships form an important context in which adolescents initiate and establish alcohol use patterns, but not all adolescents may be equally affected by this context. Therefore, this study tests whether parenting practices (i.e., parental discipline, parental knowledge, unsupervised time with peers) and individual beliefs (i.e., alcohol descriptive norms, positive social expectations, moral approval of alcohol use) moderate friend selection and influence around alcohol use. Stochastic actor-based models were used to analyze longitudinal social network and survey data from 12,335 adolescents (aged 11 to 17, 51.3% female) who were participating in the PROSPER project. A separate model was estimated for each moderating variable. Adolescents who reported consistent parental discipline, less unsupervised time with peers, higher descriptive alcohol use norms, and less positive social expectations about alcohol use were less likely to select alcohol-using friends. Those who reported consistent parental discipline, better parental knowledge, lower descriptive alcohol use norms, and less positive social expectations were more influenced by their friends' level of alcohol use. Thus, adolescents with these characteristics whose friends frequently use alcohol are at greater risk whereas those whose friends do not use alcohol are at lower risk of using alcohol. The findings show that, although selection and influence processes are connected, they may function in different ways for different groups of adolescents. For some adolescents, it is particularly important to prevent them from selecting alcohol-using friends, because they are more susceptible to influence from such friends. These peer network dynamics might explain how proximal outcomes targeted by many prevention programs (i.e., parenting practices and individual beliefs) translate into changes in alcohol use.

Social Networks and Loneliness During the COVID-19 Pandemic

We utilize longitudinal social network data collected pre–COVID-19 in June 2019 and compare them with data collected in the midst of COVID in June 2020. We find significant decreases in network density and global network size following a period of profound social isolation. While there is an overall increase in loneliness during this era, certain social network characteristics of individuals are associated with smaller increases in loneliness. Specifically, we find that people with fewer than five “very close” relationships report increases in loneliness. We further find that face-to-face interactions, as well as the duration and frequency of interactions with very close ties, are associated with smaller increases in loneliness during the pandemic. We also report on factors that do not moderate the effect of social isolation on perceived loneliness, such as gender, age, or overall social network size.

The Swiss StudentLife Study: Investigating the emergence of an undergraduate community through dynamic, multidimensional social network data

The Swiss StudentLife Study (SSL Study) is a longitudinal social network data collection conducted in three undergraduate student cohorts (N1 = 226, N2 = 261, N3 = 660) in 2016−2019. The main goal of the study was to understand the emergence of informal student communities and their effects on different individual outcomes, such as well-being, motivation, and academic success. To this end, multiple dimensions of social ties were assessed, combining computer-based surveys, social sensors, social media data, and field experiments. The dynamics of these social networks were measured on various time scales. In this paper, we present the design and data collection strategy of the SSL Study. We discuss practical challenges and solutions related to the data collection in four areas that were key to the success of our project: study design, research ethics, communication, and population definition.

Contact Capacity and Its Effect on Intergroup Relations

Although intergroup contact is an effective means to improve intergroup attitudes, it does not always have a positive impact on them. This study introduces contact capacity as a factor that may impede intergroup contact. Longitudinal social network data (N = 6,600; Mage = 14.87 years) was collected in Germany, the Netherlands, and Sweden and used to accurately calculate participants’ out-group, in-group, and total contact. Multilevel models (L1: students, L2: school classes) showed that the total amount of contact at Wave 1 negatively predicts individuals’ out-group friends at Wave 2 while controlling for out-group attitudes, existing out-group friendships and sociodemographic variables. An additional robustness check showed that this effect holds true for future in-group friendships. The study highlights the importance of contact capacity for whether people engage in intergroup contact and the contribution of social network analysis to contact research.

Food sharing, redistribution, and waste reduction via mobile applications: A social network analysis

Food sharing mobile applications are becoming increasingly popular, but little is known about the new social configurations of people using them, particularly those applications that use consumers as voluntary intermediaries in supply chains. This article presents a social network analysis of a food sharing mobile application conducted in partnership with OLIO. The study focuses on longitudinal social network data from 54,913 instances of food sharing between 9054 people and was collected over 10 months. The results challenge existing theories of food sharing (reciprocity, kin selection, tolerated scrounging, and costly signalling) as inadequate by showing that donor-recipient reciprocity and balance are rare, but also show that genuinely novel social relations have formed between organisations and consumers which depart from traditional linear supply chains. The findings have significant implications for managers and policymakers aiming to encourage, measure and understand technology-assisted food sharing practices.

Network analysis of the NetHealth data: exploring co-evolution of individuals\u2019 social network positions and physical activities

Understanding the relationship between individuals’ social networks and health could help devise public health interventions for reducing incidence of unhealthy behaviors or increasing prevalence of healthy ones. In this context, we explore the co-evolution of individuals’ social network positions and physical activities. We are able to do so because the NetHealth study at the University of Notre Dame has generated both high-resolution longitudinal social network (e.g., SMS) data and high-resolution longitudinal health-related behavioral (e.g., Fitbit physical activity) data. We examine trait differences between (i) users whose social network positions (i.e., centralities) change over time versus those whose centralities remain stable, (ii) users whose Fitbit physical activities change over time versus those whose physical activities remain stable, and (iii) users whose centralities and their physical activities co-evolve, i.e., correlate with each other over time. We find that centralities of a majority of all nodes change with time. These users do not show any trait difference compared to time-stable users. However, if out of all users whose centralities change with time we focus on those whose physical activities also change with time, then the resulting users are more likely to be introverted than time-stable users. Moreover, users whose centralities and physical activities both change with time and whose evolving centralities are significantly correlated (i.e., co-evolve) with evolving physical activities are more likely to be introverted as well as anxious compared to those users who are time-stable and do not have a co-evolution relationship. Our network analysis framework reveals several links between individuals’ social network structure, health-related behaviors, and the other (e.g., personality) traits. In the future, our study could lead to development of a predictive model of social network structure from behavioral/trait information and vice versa.

Selection and Influence: A Meta-Analysis of the Association Between Peer and Personal Offending

Whether people are affected by the criminal behavior of peers (the “influence” perspective) or simply prefer to associate with others who are similar in their offending (the “selection” perspective) is a long-standing criminological debate. The relatively recent development of stochastic actor-oriented models (SAOMs—also called SIENA models) for longitudinal social network data has allowed for the examination of selection and influence effects in more comprehensive ways than was previously possible. This article reports the results of a systematic review and meta-analysis of studies that use SAOMs to test for peer selection and influence effects. A systematic review and 3-level random effects meta-analysis of studies that have used SAOMs to test selection and influence dynamics for offending behavior. There is support for both influence (mean log odds ratio = 1.23, p < 0.01, 21 effects, pooled n = 21,193) and selection dynamics (mean log odds ratio = 0.31, p < 0.01, 28 effects, pooled n = 21,269). Type of behavior, country, and the year of the first wave of data collection are found to moderate the influence effect; no significant moderation effects are found for peer selection on offending. People are both influenced by the offending of their peers and select into friendships based on similarity in offending.

Alternative estimation methods for identifying contagion effects in dynamic social networks: A latent-space adjusted approach

Contagion effects, also known as peer effects or social influence process, have become more and more central to social science, especially with the availability of longitudinal social network data. However, contagion effects are usually difficult to identify, as they are often entangled with other factors, such as homophily in the selection process, the individual’s preference for the same social settings, etc. Methods currently available either do not solve these problems or require strong assumptions. Following Shalizi and Thomas (2011), I frame this difficulty as an omitted variable bias problem, and I propose several alternative estimation methods that have potentials to correctly identify contagion effects when there is an unobserved trait that co-determines the influence and the selection. The Monte-Carlo simulation results suggest that a latent-space adjusted estimator is especially promising. It outperforms other estimators that are traditionally used to deal with the unobserved variables, including a structural equation based estimator and an instrumental variable estimator.

Emergent achievement segregation in freshmen learning community networks

A common assumption about Freshmen Learning Communities (FLCs) is that academic relationships contribute to students’ success. This study investigates how students in learning communities connect with fellow students for friendship and academic support. Longitudinal social network data across the first year, collected from 95 Dutch students in eight FLCs, measure both social and academic relational choices within and beyond the FLCs. Using stochastic actor-based models, the study tests two competing hypotheses. The alignment hypothesis states that students connect with their similar-achieving friends for both academic and social support, leading to an alignment of both types of networks over time. In contrast, the duality hypothesis states dissimilarity between academic support networks and friendship networks: students should connect with better-achieving fellow students for academic support and to more similar peers for friendship. The data support the alignment hypothesis but not the duality hypothesis; in addition, they show evidence of achievement segregation in FLCs: the higher the students’ achievement level, the more they connect with other students for both academic support and friendship, relating in particular to peers with a similarly high achievement level. The results suggest that lower-achieving students are excluded from the support provided by higher-achieving students and instead ask similar lower achievers for support. They thus cannot benefit optimally from the academic integration FLC offer. The article concludes with recommendations of how to support students in an FLC so that they can reach optimal achievement potential.

Perception Accuracy of Affiliative Relationships in Elementary School Children and Young Adolescents.

There has been a rapid growth of studies focused on selection and socialization processes of peer groups, mostly due to the development of stochastic actor-based models to analyze longitudinal social network data. One of the core assumptions of these models is that individuals have an accurate knowledge of the dyadic relationships within their network (i.e., who is and is not connected to whom). Recent cross-sectional findings suggest that elementary school children are very inaccurate in perceiving their classmates’ dyadic relationships. These findings question the validity of stochastic actor-based models to study the developmental dynamics of children and carry implications for future research as well as for the interpretation of past findings. The goal of the present study was thus to further explore the adequacy of the accuracy assumption, analysing data from three longitudinal samples of different age groups (elementary school children and adolescents). Our results support the validity of stochastic actor-based models to study the network of adolescents and suggest that the violation of the accuracy assumption for elementary school children is not as severe as previously thought.

The Effects of Ethnic Minority Adolescents' Ethnic Self-Identification on Friendship Selection.

This study investigated the effects of ethnic minority adolescents' ethnic self-identification (host country, dual, or heritage country) on friendship choices among ethnic majority and minority peers. Hypotheses were derived from similarity-attraction and social identity theory and tested using longitudinal social network data from 1,004 middle school students (five schools) in Germany. Results showed that ethnic minority adolescents' ethnic self-identification affected friendship selection beyond ethnic homophily. While host country and dual identification was beneficial with respect to friendships with both ethnic majority and minority peers, heritage country identification was detrimental to relations with both of them.

The co-evolution of emotional well-being with weak and strong friendship ties

AbstractSocial ties are strongly related to well-being. But what characterizes this relationship? This study investigates social mechanisms explaining how social ties affect well-being through social integration and social influence, and how well-being affects social ties through social selection. We hypothesize that highly integrated individuals–those with more extensive and dense friendship networks–report higher emotional well-being than others. Moreover, emotional well-being should be influenced by the well-being of close friends. Finally, well-being should affect friendship selection when individuals prefer others with higher levels of well-being, and others whose well-being is similar to theirs. We test our hypotheses using longitudinal social network and well-being data of 117 individuals living in a graduate housing community. The application of a novel extension of Stochastic Actor-Oriented Models for ordered networks (ordered SAOMs) allows us to detail and test our hypotheses for weak- and strong-tied friendship networks simultaneously. Results do not support our social integration and social influence hypotheses but provide evidence for selection: individuals with higher emotional well-being tend to have more strong-tied friends, and there are homophily processes regarding emotional well-being in strong-tied networks. Our study highlights the two-directional relationship between social ties and well-being, and demonstrates the importance of considering different tie strengths for various social processes.