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Not all friends are created equal: Friendship ties across different social contexts in South Korea Social Networks (IF 4.144) Pub Date : 2024-03-13 Chaeyoon Lim, Yoonyoung Na, Hyeona Park, Dong-Kyun Im
This study explores variation in composition and strength of close friendship ties across timing and contexts of tie formation. Analyzing South Korean survey data and comparing it with existing U.S. and Korean network data, we find both similarities and differences between friendship and non-kin discussion networks in the two countries. We show that schools are a crucial source of close friendships
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Streams of interactions: Social connectedness in daily life Social Networks (IF 4.144) Pub Date : 2024-03-12 Adam R. Roth, Siyun Peng
This study contributes to the social connectedness literature by exploring the range of social interactions that people experience on a daily basis using time diary data. First, we investigate the different types of people whom individuals encounter in everyday life (i.e., family, friends, co-workers, acquaintances, others). Quantifying the degree of this social exposure provides insight into potential
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Positive, negative, and ambivalent dyads and triads with family and friends: A personal network study on how they are associated with young adults’ well-being Social Networks (IF 4.144) Pub Date : 2024-03-08 Vera de Bel, Eric D. Widmer
Although negative ties may cause stress and harm well-being, they are also considered fundamental in close and ongoing relationships. This study distinguishes positive, negative, and – when characterized by both valences – ambivalent ties. Analyzing almost 10,000 personal networks from the Swiss CH-X study shows that: (1) ambivalence among family members is more prevalent than among non-family members
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Walk-Independence Probabilities and WIP Centrality: A new heuristic for diffusion probabilities in networks Social Networks (IF 4.144) Pub Date : 2024-03-01 M, a, i, a, , K, i, n, g
Calculating the true probability that a signal will be transmitted between any pair of nodes in a network is computationally hard. Diffusion centrality, which counts the expected number of times that a signal will be transmitted, is often used as a heuristic for this probability. But this formula can lead to distorted results when used in this way, because its summation of probabilities does not take
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Older adults’ mental health during the COVID-19 pandemic: The association with social networks Social Networks (IF 4.144) Pub Date : 2024-02-28 Zaira Torres, Amparo Oliver, Irene Fernández
This study examined the impact of different social networks on the mental health outcomes of older adults during the COVID-19 pandemic. Participants were 25,534 older adults from the Survey of Health, Ageing and Retirement in Europe (SHARE). The study identified five social network profiles (family, friends, spouse, diverse, others) and a “no network” group. Findings showed that, compared to the no
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Stochastic actor oriented model with random effects Social Networks (IF 4.144) Pub Date : 2024-01-24 Giacomo Ceoldo, Tom A.B. Snijders, Ernst C. Wit
The stochastic actor oriented model (SAOM) is a method for modelling social interactions and social behaviour over time. It can be used to model drivers of dynamic interactions using both exogenous covariates and endogenous network configurations, but also the co-evolution of behaviour and social interactions. In its standard implementations, it assumes that all individual have the same interaction
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Theorizing the concept of social tie using frames Social Networks (IF 4.144) Pub Date : 2024-01-13 Omar Lizardo
In classical Social Network Analysis (SNA), what counted as a “social tie” was fixed by available data collection methods. The emergence of large-scale unobtrusive data collection techniques has sparked renewed interest in the very idea of what counts as a “social tie.” Importantly, there has been an acknowledgment that the core issues raised by these developments are primarily conceptual. As a result
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Cross-sectional social network study of adolescent peer group variation in substance use and mental wellbeing: The importance of the meso level Social Networks (IF 4.144) Pub Date : 2024-01-08 Srebrenka Letina, Emily Long, Paul McCrorie, Kirstin Mitchell, Claudia Zucca, Julie Riddell, Sharon Anne Simpson, Laurence Moore, Mark McCann
Adolescent health-related behaviours and outcomes are shaped by their peers through various social processes. Research using network data on friendship ties has uncovered evidence for processes such as peer influence and imitation. Much less is known about how the structure of small groups within a network, network communities that represents its meso level, affect individuals. The structure and composition
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Down and out? the role of household income in students’ friendship formation in school-classes Social Networks (IF 4.144) Pub Date : 2024-01-06 Isabel J. Raabe, Chaïm la Roi, Stephanie Plenty
Research suggests that coming from a lower economic background compromises social integration at school, yet the precise mechanisms underlying this link remain unknown. Therefore, this study examined the effect of household income on friendship network dynamics among classmates in a large sample of Swedish youths (n = 4787 from 235 classes, m age = 14.65, 51% girls, and 33% immigrant background), using
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Re-print of: Contextualizing oppositional cultures: A multilevel network analysis of status orders in schools Social Networks (IF 4.144) Pub Date : 2024-01-05 Hanno Kruse, Clemens Kroneberg
Different lines of research have argued that specific groups, such as boys or ethnic minorities, are more prone to develop an anti-school culture than others, leading to group differences in the social acceptance of high performers. Taking an ecological view, we ask to what extent the school context promotes or prevents the emergence of group-specific oppositional cultures. Theoretically, we argue
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Network Ecology: Introduction to the Special Issue Social Networks (IF 4.144) Pub Date : 2023-12-30 Malte Doehne, Daniel A. McFarland, James Moody
Abstract not available
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Co-evolution of a socio-cognitive scientific network: A case study of citation dynamics among astronomers Social Networks (IF 4.144) Pub Date : 2023-12-23 Alejandro Espinosa-Rada, Elisa Bellotti, Martin G. Everett, Christoph Stadtfeld
This paper aims to understand how a group of academics cite each others’ work through time, considering the simultaneous co-evolution of three networks representing their scientific collaboration, the journals in which they publish and institutional membership. It argues that both social and cognitive processes contribute to these dynamics. Two types of network mechanisms are considered specifically:
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Imaginary network motifs: Structural patterns of false positives and negatives in social networks Social Networks (IF 4.144) Pub Date : 2023-12-07 Kyosuke Tanaka, George G. Vega Yon
We examine the structural patterns in the cognitive representation of social networks by systematically classifying false positives and negatives. Although existing literature on Cognitive Social Structures (CSS) has begun exploring false positives and negatives by comparing actual and perceived networks, it has not differentiated simultaneous occurrences of true and false positives and negatives on
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The interplay of structural features and observed dissimilarities among centrality indices Social Networks (IF 4.144) Pub Date : 2023-12-06 David Schoch, Termeh Shafie
An abundance of centrality indices has been proposed which capture the importance of nodes in a network based on different structural features. While there remains a persistent belief that similarities in outcomes of indices is contingent on their technical definitions, a growing body of research shows that structural features affect observed similarities more than technicalities. We conduct a series
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Bayesian testing of scientific expectations under exponential random graph models Social Networks (IF 4.144) Pub Date : 2023-12-02 Joris Mulder, Nial Friel, Philip Leifeld
The exponential random graph (ERGM) model is a commonly used statistical framework for studying the determinants of tie formations from social network data. To test scientific theories under ERGMs, statistical inferential techniques are generally used based on traditional significance testing using p-values. This methodology has certain limitations, however, such as its inconsistent behavior when the
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Network ecology: Tie fitness in social context(s) Social Networks (IF 4.144) Pub Date : 2023-12-01 Malte Doehne, Daniel A. McFarland, James Moody
Social relations are embedded in material, cultural, and institutional settings that affect network dynamics and the resulting topologies. For example, romantic entanglements are subject to social and cultural norms, interfirm alliances are constrained by country-specific legislation, and adolescent friendships are conditioned by classroom settings and neighborhood effects. In short, social contexts
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Homophily and the evolution of cooperation in the Volunteer’s Dilemma: A computational study on dynamic graphs Social Networks (IF 4.144) Pub Date : 2023-11-23 Sandra Stark, Daniel Peter, Andreas Tutić
We study the evolution of cooperation in the Volunteer’s Dilemma using the stochastic Moran process on dynamic graphs, which models a birth–death dynamic on structured finite populations. According to the Moran process, in each period one player is selected to reproduce, where the probability of being selected is proportional to payoff-related fitness levels, and a copy of this player is substituted
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How adolescents’ popularity perceptions change: Measuring interactions between popularity and friendship networks Social Networks (IF 4.144) Pub Date : 2023-11-11 Ana Bravo, Robert W. Krause, Rosario Ortega-Ruiz, Eva M. Romera
Longitudinal multivariate social network analysis (N=3692 adolescents; 136 classrooms) showed that adolescents were more likely to perceive their friends as popular but did not choose peers that they perceived to be popular as friends. Adolescents aligned their perceptions of popularity with their friends. Adolescents who received many popularity nominations attracted more popularity but not more friendship
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Offence versatility among co-offenders: A dynamic network analysis Social Networks (IF 4.144) Pub Date : 2023-11-09 David Bright, Jürgen Lerner, Giovanni Radhitio Putra Sadewo, Chad Whelan
Research examining co-offending has become increasingly popular over the last two decades. Despite this, there remains a dearth of research examining the dynamics of co-offending across time, largely due to limited access to longitudinal data. In the current paper we are interested in explaining crime versatility, and therefore we employ Relational Hyperevent Models (RHEM) to model the conditional
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The role of sociopolitical workplace networks in involuntary employee turnover Social Networks (IF 4.144) Pub Date : 2023-11-08 Theresa M. Floyd, Alexandra Gerbasi, Giuseppe (Joe) Labianca
While poor performance is one reason employees are fired, previous research suggests it plays a limited role in explaining terminations. We argue that sociopolitical concerns play a role in determining who is terminated. Using field data from a U.S. health care company and experimental data using participants with supervisory experience, we show how the supervisor’s political concerns with the focal
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Improving ERGM starting values using simulated annealing Social Networks (IF 4.144) Pub Date : 2023-11-07 Christian S. Schmid, David R. Hunter
Much of the theory of estimation for exponential family models, which include exponential-family random graph models (ERGMs) as a special case, is well-established and maximum likelihood estimates (MLEs) in particular enjoy many desirable properties. However, in the case of many ERGMs, direct calculation of MLEs is impossible and therefore methods for approximating MLEs and/or alternative estimation
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Predictors of romantic partner nomination reciprocity in adolescent social networks Social Networks (IF 4.144) Pub Date : 2023-10-21 Kate Vinita Fitch, Molly Copeland, jimi adams
Network data uniquely allow –relationships to be multiply reported, creating varying rates of relationship nomination reciprocation. However, what drives such variation is unclear. Variation in reciprocation may reflect substantive information about relationships (e.g., social salience or desirability) or study design (e.g., question wording or capped nominations). We examine predictors of nomination
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Network ecology: Tie fitness in social context(s) Social Networks (IF 4.144) Pub Date : 2023-09-29 Malte Doehne, Daniel A. McFarland, James Moody
Social relations are embedded in material, cultural, and institutional settings that affect network dynamics and the resulting topologies. For example, romantic entanglements are subject to social and cultural norms, interfirm alliances are constrained by country-specific legislation, and adolescent friendships are conditioned by classroom settings and neighborhood effects. In short, social contexts
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How does socioeconomic homophily emerge? Testing for the contribution of different processes to socioeconomic segregation in adolescent friendships Social Networks (IF 4.144) Pub Date : 2023-09-26 Timothée Chabot
Homophily – the fact that friendships happen at a higher rate among similar individuals – does not necessarily imply homophilic selection – the tendency to look for similar friends. This is particularly true for socioeconomic homophily: because individuals’ social class impacts most aspects of their lives, there are several ways in which it can favor homogeneity in friendship networks. Applying this
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Status, cognitive overload, and incomplete information in advice-seeking networks: An agent-based model Social Networks (IF 4.144) Pub Date : 2023-09-25 Francesco Renzini, Federico Bianchi, Flaminio Squazzoni
Advice-seeking typically occurs across organizational boundaries through informal connections. By using Stochastic Actor-Oriented Models (SAOM), previous research has tried to identify the micro-level mechanisms behind these informal connections. Unfortunately, these models assume perfect network information, require agents to perform too cognitively demanding decisions, and do not account for threshold-based
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Similarity and differences in age, gender, ethnicity, and education as explanatory factors of tie loss in the core discussion network Social Networks (IF 4.144) Pub Date : 2023-09-24 Thijmen Jeroense, Niels Spierings, Jochem Tolsma
Individuals are more likely to interact with people who are similar in terms of socio-demographics and values than dissimilar people, which is often explained by a focus on selection effects. Yet, tie loss of dissimilar ties might also cause network homogeneity. Unfortunately, within the literature, there is a relative dearth of knowledge on the relationship between (dis)similarity and tie loss. Hence
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She Must Be Seeing Things! Gender disparity in camera department networks Social Networks (IF 4.144) Pub Date : 2023-09-19 Pete Jones, Deb Verhoeven, Aresh Dadlani, Vejune Zemaityte
This paper reports on a network-based investigation of the gendered nature of work in the screen sector. Using nine years of Australian film and television production data, we explore how the networks of project-based collaboration might explain the disparities in the career trajectories of men and women. Our analysis finds that projects with men as directors tend to reproduce familiar teams to the
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Adolescent network positions and memory performance in adulthood: Evidence from sibling fixed effects models with sociometric network data Social Networks (IF 4.144) Pub Date : 2023-08-28 Jinho Kim, Taehoon Kim
Although research has explored social factors influencing memory performance during adolescence, the impact of adolescent social network positions remains largely unknown. This study examines whether adolescent network position is associated with memory performance in adulthood, while also considering potential gender differences. The study used a sibling sample from the National Longitudinal Study
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Causal inference on networks under continuous treatment interference Social Networks (IF 4.144) Pub Date : 2023-08-25 Laura Forastiere, Davide Del Prete, Valerio Leone Sciabolazza
This paper investigates the case of interference, when a unit’s treatment also affects other units’ outcome. When interference is at work, policy evaluation mostly relies on the use of randomized experiments under cluster interference and binary treatment. Instead, we consider a non-experimental setting under continuous treatment and network interference. In particular, we define spillover effects
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From attitudes to social networks: National gender-role attitudes and gender differences in late-life social relationships Social Networks (IF 4.144) Pub Date : 2023-08-14 Ella Cohn-Schwartz, Alina Schmitz
Studies often find gender differences in social networks in later life, but are these findings universal, or do they differ in various cultural contexts? To address this research gap, the current study examines the association between gender differences in social relationships and country-level gender-role attitudes. We combined data from the Survey of Health, Ageing and Retirement in Europe (SHARE)
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Name order effects in measuring adolescent social networks using rosters Social Networks (IF 4.144) Pub Date : 2023-08-09 Shuyin Liu, David A. Nolin, James A. Kitts
Recent studies have found order effects in social network data collection, where later names on a roster receive fewer nominations. Some thus argue for randomizing name orders or sampling peer names for survey rosters. We model order effects as biases in nomination choices and demonstrate observational and experimental methods for assessing these biases and illuminating their mechanisms. Employing
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Understanding networks with exponential-family random network models Social Networks (IF 4.144) Pub Date : 2023-08-06 Zeyi Wang, Ian E. Fellows, Mark S. Handcock
The structure of many complex social networks is determined by nodal and dyadic covariates that are endogenous to the tie variables. While exponential-family random graph models (ERGMs) have been very successful in modeling social networks with exogenous covariates, they are often misspecified for networks where some covariates are stochastic. Exponential-family random network models (ERNMs) are an
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Parameter estimation procedures for exponential-family random graph models on count-valued networks: A comparative simulation study Social Networks (IF 4.144) Pub Date : 2023-07-28 Peng Huang, Carter T. Butts
The exponential-family random graph models (ERGMs) have emerged as an important framework for modeling social networks for a wide variety of relational types. ERGMs for valued networks are less well-developed than their unvalued counterparts, and pose particular computational challenges. Network data with edge values on the non-negative integers (count-valued networks) is an important such case, with
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Join to connect? Voluntary involvement, social capital, and socioeconomic inequalities Social Networks (IF 4.144) Pub Date : 2023-07-26 Kasimir Dederichs
Access to social capital is stratified by socioeconomic status and has been cross-sectionally linked to involvement in voluntary organizations. Yet, we know little about the origin and interplay of these empirical regularities. Regression analyses on German panel data (SC6-NEPS) reveal that people rich in social capital join organizations more often (selection). Furthermore, joiners access more and
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Two-mode relational similarities Social Networks (IF 4.144) Pub Date : 2023-07-11
In a previous paper, Kovacs (2010) proposed a generalized relational similarity measure based on iterated correlations of entities in a network calibrated by their relational similarity to other entities. Here I show that, in the case of two-mode network data, Kovacs’s approach can be simplified and generalized similarities calculated non-iteratively. The basic idea is to rely on initial similarities
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Keep around, drop, or revise? exploring what becomes of difficult ties in personal networks Social Networks (IF 4.144) Pub Date : 2023-06-20 Emmanuel Kyeremeh, Markus H. Schafer
Previous studies increasingly recognize the presence and impact of difficult individuals within personal networks. However, current research sheds little light on the turnover, retention, and change in quality of such difficult ties. The current study addresses this gap by focusing on two distinct forms of network change. We examine how role relationships, support exchange, relational homophily, and
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Diffusion in small worlds with homophily and social reinforcement: A theoretical model Social Networks (IF 4.144) Pub Date : 2023-06-12 Elena M. Tur, Paolo Zeppini, Koen Frenken
We introduce homophily in a percolation model of word-of-mouth diffusion in social networks by reorganizing the nodes according to similarity in preferences for adoption of an innovation. Such preferences are described by a “minimum utility requirement” for an agent to adopt. We show that homophily removes the non-linear relation between preferences and diffusion in the standard percolation model with
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Same but different: A comparison of estimation approaches for exponential random graph models for multiple networks Social Networks (IF 4.144) Pub Date : 2023-05-22 Petro Tolochko, Hajo G. Boomgaarden
The Exponential Random Graph family of models (ERGM) is a powerful tool for social science research as it allows for the simultaneous modeling of endogenous network characteristics and exogenous variables such as gender, age, and socioeconomic status. However, a major limitation of ERGM is that it is mainly used for descriptive analysis of a single network. This paper examines two methods for estimating
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Measuring structural HIV stigma Social Networks (IF 4.144) Pub Date : 2023-05-15 Francis Lee, Carter T. Butts, John A. Schneider
Despite the progress in pharmaceutical and epidemiological tools for combating HIV spread, HIV stigma remains a significant social barrier impeding treatment and prevention efforts, potentially reducing the effectiveness of interventions to reduce HIV transmission. In this paper, we propose a novel approach to defining and estimating HIV stigmatization through the structure of sexual relations, as
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The role of selection in socioeconomic homophily: Evidence from an adolescent summer camp Social Networks (IF 4.144) Pub Date : 2023-05-13 Marion Hoffman, Timothée Chabot
Socioeconomic homophily in friendship networks is the result of several co-occurring processes, which are extremely challenging to disentangle. We propose to study the particular context of a three-week summer camp in France that gathered teenagers from varied socioeconomic backgrounds. We argue that this camp provides a unique opportunity to observe the sociability of adolescents in well-bounded settings
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Limited opportunities: Adolescents’ access to social capital in secondary schools in three European countries Social Networks (IF 4.144) Pub Date : 2023-05-11 Sven Lenkewitz
While previous research indicates that students benefit from their peers’ resources, little is known about access to social capital in the school context. Therefore, this study examines differential access to social capital – measured by friends’ socioeconomic status (SES), the number of books they have at home, and their reading habits – in secondary schools in Germany, the Netherlands, and Sweden
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Shared responsibility and network collaboration in caregiving Social Networks (IF 4.144) Pub Date : 2023-05-09 Melissa Zajdel, Krystyna R. Keller, Lindsey Mountcastle, Laura M. Koehly
Communal coping may benefit caregivers, but most communal coping research focuses on dyads. Using an egocentric network design, we examine caregivers’ we-talk—a linguistic marker of shared responsibility—and caregiver reports of 1) network member involvement in collaborative care roles and 2) met/unmet expectations across typically developing and rare disease contexts. We-talk was linked to involvement
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To make and keep friends: The role of health status in adolescent network tie formation and persistence Social Networks (IF 4.144) Pub Date : 2023-05-05 Molly Copeland, Christina Kamis, Jessica S. West
Health status may shape network structure through network dynamics (tie formation and persistence) and direction (sent and received ties), net of typical network processes. We apply Separable Temporal Exponential Random Graph Models (STERGMs) to National Longitudinal Study of Adolescent to Adult Health survey data (n = 1779) to differentiate how health status shapes network sent and received tie formation
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Embedded performers: The relational foundations of record production Social Networks (IF 4.144) Pub Date : 2023-05-03 Mario Diani, Silvia Sacchetti
This article discusses some network mechanisms that may facilitate involvement in artistic production. More specifically, it explores the nature of the collaborative networks in which musicians are embedded, and looks for the structural configurations that are most conducive to individual creativity. Drawing upon a dataset consisting of 253 music teachers in the Italian region of Trentino, and focusing
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What is the Point of Change? Change Point Detection in Relational Event Models Social Networks (IF 4.144) Pub Date : 2023-04-04 Mahdi Shafiee Kamalabad, Roger Leenders, Joris Mulder
This paper presents an extension to the relational event model with change points (REM-CP) to study abrupt changes to social interaction behavior in temporal networks. A change point detection algorithm is proposed for exploring when and which network effects abruptly change, and a confirmatory approach to test the presence of a change point at a given moment. The effectiveness of the methodology was
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Separating the wheat from the chaff: Bayesian regularization in dynamic social networks Social Networks (IF 4.144) Pub Date : 2023-03-28 Diana Karimova, Roger Th.A.J. Leenders, Marlyne Meijerink-Bosman, Joris Mulder
In recent years there has been an increasing interest in the use of relational event models for dynamic social network analysis. The basis of these models is the concept of an “event”, defined as a triplet of time, sender, and receiver of some social interaction. The key question that relational event models aim to answer is what drives the pattern of social interactions among actors. Researchers often
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Bayesian nonparametric mixtures of Exponential Random Graph Models for ensembles of networks Social Networks (IF 4.144) Pub Date : 2023-03-28 Sa Ren, Xue Wang, Peng Liu, Jian Zhang
Ensembles of networks arise in various fields where multiple independent networks are observed, for example, a collection of student networks from different classes. However, there are few models that describe both the variations and characteristics of networks in an ensemble at the same time. In this manuscript, we propose to model ensembles of networks using a Dirichlet Process Mixture of Exponential
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Neighborhood Conditions and Social Network Turnover among Older Adults. Social Networks (IF 4.144) Pub Date : 2023-05-01 Alyssa W Goldman,Erin York Cornwell,Benjamin Cornwell
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
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Social networks and anthropogenic climate change Social Networks (IF 4.144) Pub Date : 2023-03-24 David Tindall, Nina Kolleck, John McLevey
Abstract not available
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Knowing me, knowing you: Socio-economic status and (segregation in) peer and parental networks in primary school Social Networks (IF 4.144) Pub Date : 2023-03-17 Dieuwke Zwier, Sara Geven
Students of different socio-economic status (SES) backgrounds are sorted into different schools. While integrating schools seems an easy solution to enhance inter-group interaction, this is yet an empirical question as we know little about how networks structure along SES lines in school. We examine the tendency for friendship and parental networks in primary school to structure by SES. We furthermore
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R&D cooperation in collaborative consumption of research equipment: An ERGM approach Social Networks (IF 4.144) Pub Date : 2023-03-06 Kyoungmi Lee, Jae-Suk Yang
High-tech research infrastructure is essential for state-of-the-art research, but requires many resources. Relatively weak actors, such as SMEs, cannot secure enough of those. Applying the concept of collaborative consumption via digital platforms, we examine the cooperative behavior of Korean SMEs that share research equipment to overcome their lack of resources. Also, we analyze configurations of
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Analysing networks of networks Social Networks (IF 4.144) Pub Date : 2023-03-04 Johan Koskinen, Pete Jones, Darkhan Medeuov, Artem Antonyuk, Kseniia Puzyreva, Nikita Basov
We consider data with multiple observations or reports on a network in the case when these networks themselves are connected through some form of network ties. We could take the example of a cognitive social structure where there is another type of tie connecting the actors that provide the reports; or the study of interpersonal spillover effects from one cultural domain to another facilitated by the
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Impact of the tariff concessions of the RCEP agreement on the structure and evolution mechanism of manufacturing trade networks Social Networks (IF 4.144) Pub Date : 2023-02-28 Nina Zhu, Siyi Huang
In the world’s largest free trade area, the Regional Comprehensive Economic Partnership (RCEP) agreement will gradually eliminate tariffs on over 90% of member countries’ goods over the next 36 years. We construct a tariff policy effects evaluation framework based on the complex network theory. In this framework, the standard Global Trade Analysis Project (GTAP) model is recursively extended to generate
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Structure of personal networks and cognitive abilities: A study on a sample of Italian older adults Social Networks (IF 4.144) Pub Date : 2023-02-24 Federico Bianchi, Matteo Piolatto, Alessandra Marengoni, Flaminio Squazzoni
Research in social gerontology has suggested that structural complexity of personal networks could moderate cognitive decline of older adults. In line with the environmental complexity hypothesis, their cognitive functioning would benefit from a high number of cohesive subgroups in their own personal networks, i.e., various social foci, thanks to higher cognitive stimuli from various social interactions
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Network dynamics and its impact on innovation outcomes: R&D consortia in the Dutch water sector Social Networks (IF 4.144) Pub Date : 2023-02-22 Remco S. Mannak, Arjan Markus, Marius T.H. Meeus, Jörg Raab, Alexander C. Smit
In this study, we explore the relationship between inter-organizational network dynamics and innovation outcomes. We focus on node turnover and argue that both cluster and broker dynamics can range from low (stable) to high (volatile), resulting in differentiated outcomes. The data comprises 318 consortium members participating in 104 R&D consortia forged in a 23-year period in the Dutch water sector
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Scaling bias in pooled exponential random graph models Social Networks (IF 4.144) Pub Date : 2023-02-14 Scott W. Duxbury, Jenna Wertsching
Researchers often use pooled exponential random graph models (ERGM) to analyze samples of networks. However, pooled ERGM—here, understood to include both meta-regression and combined estimation on a stacked adjacency matrix—may be biased if there is heterogeneity in the latent error variance (‘scaling’) of each lower-level model. This study explores the implications of scaling for pooled ERGM analysis
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“Defriending” in a polarized age: Political and racial homophily and tie dissolution Social Networks (IF 4.144) Pub Date : 2023-02-16 Anthony Paik, Mark C. Pachucki, Hsin Fei Tu
Given increased political polarization and racial tension in the wake of the 2016 presidential election in the United States, this study examines dropped ties in personal networks at that time based on political and racial identities. We employed data from the 2015–2018 UCNets study (n = 1159), a longitudinal, representative data set of the San Francisco Bay Area. In late 2015 and early 2016 it generated
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Uses and limitations of dichotomous aggregate relational data Social Networks (IF 4.144) Pub Date : 2023-02-16 Derick S. Baum, Peter V. Marsden
Aggregate relational data (ARD) on relationships between individuals and subgroups have been informative for studying egocentric network size and degree distributions, assessing segregation in contact with subpopulations, and estimating the size of unlisted groups. Scale-up models for ARD usually assume survey data giving counts of acquaintances in subpopulations, but a closed-ended response format
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Closeness centrality via the Condorcet principle Social Networks (IF 4.144) Pub Date : 2023-02-14 Oskar Skibski
We provide a characterization of closeness centrality in the class of distance-based centralities. To this end, we introduce a natural property, called majority comparison, that states that out of two adjacent nodes the one closer to more nodes is more central. We prove that any distance-based centrality that satisfies this property gives the same ranking in every graph as closeness centrality. The