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A stopping rule for randomly sampling bipartite networks with fixed degree sequences Social Networks (IF 2.9) Pub Date : 2024-09-10 Zachary P. Neal
Statistical analysis of bipartite networks frequently requires randomly sampling from the set of all bipartite networks with the same degree sequence as an observed network. Trade algorithms offer an efficient way to generate samples of bipartite networks by incrementally ‘trading’ the positions of some of their edges. However, it is difficult to know how many such trades are required to ensure that
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Multilevel integrated healthcare: The evaluation of Project ECHO® networks to integrate children’s healthcare in Australia Social Networks (IF 2.9) Pub Date : 2024-09-09 C. Broccatelli, P. Nixon, P. Moss, S. Baggio, A. Young, D. Newcomb
The present empirical study aims to explore medical knowledge sharing in the Australian healthcare context, aiming to broadly evaluate the potential impact of Project ECHO®, an online mentoring and networking health program. We focus on health-related knowledge sharing practices among the network of professionals through formal and informal channels, and across different health and non-health sectors
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Corrigendum to “Evaluating disease surveillance strategies for early outbreak detection in contact networks with varying community structure” [Soc. Netw. 79 (2024) 122–132] Social Networks (IF 2.9) Pub Date : 2024-08-30 Axel Browne, David Butts, Edgar Jaramillo-Rodriguez, Nidhi Parikh, Geoffrey Fairchild, Zach Needell, Cristian Poliziani, Tom Wenzel, Timothy C. Germann, Sara Del Valle
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The role of network communication in mediating the effect of a social network intervention on HIV seroconversion among people who inject drugs in Ukraine Social Networks (IF 2.9) Pub Date : 2024-08-27 Cristina Espinosa da Silva, Heather A. Pines, Thomas L. Patterson, Stephanie Brodine, Richard S. Garfein, Robert E. Booth, Eileen V. Pitpitan
We examined the role of network communication about HIV-related topics in mediating the efficacy of a social network intervention on HIV seroconversion among people who inject drugs (PWID) in Ukraine, where Eastern Europe’s second-largest HIV epidemic is concentrated among PWID. We used randomized controlled trial data from 1200 HIV-negative PWID (Ukraine; 2010–2012) in an inverse-odds weighted analysis
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The interplay of misperceptions and willingness to share opinions in full classroom networks: The case of opinions towards homosexuality Social Networks (IF 2.9) Pub Date : 2024-08-16 Nick Wuestenenk, Tom Nijs, Tobias H. Stark, Frank van Tubergen, Naomi Ellemers
Social norms influence homophobic behavior, yet these norms are often misperceived. We study the extent to which friendship ties and group memberships are related to misperceptions of opinions towards homosexuality, and how these misperceptions are sustained in social networks through opinion sharing. We find that misperceptions lead individuals to be less willing to share their opinions with ethno-religious
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Social balance-based centrality measure for directed signed networks Social Networks (IF 2.9) Pub Date : 2024-08-14 Dmitry Gromov
We suggest a novel approach to determining the centrality measures for directed signed networks, based on the notion of social balance. We postulate that along with the existing positive connections, the structure of positive and negative connections can be used to determine potential secondary connections, respectively, weak social ties between pairs of individuals who are, e.g., either friends with
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Symbolic association networks: A case study of orchestral programming’s effect on the reputation of composers Social Networks (IF 2.9) Pub Date : 2024-08-07 L.E.A. Braden, Ju Hyun Park, Jay Lee
A type of symbolic association network for the development of reputation is described and tested. Associations between people in these networks are not based on individual interaction, but rather are created by “reputational entrepreneurs” based on perceived symbolic association between people. We argue the intent of this type of connection is to add to the reputational information about those connected
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Exponential random graph models and pendant-triangle statistics Social Networks (IF 2.9) Pub Date : 2024-08-06 Philippa E. Pattison, Garry L. Robins, Tom A.B. Snijders, Peng Wang
The paper builds on the framework proposed by Pattison and Snijders (2012) for specifying exponential random graph models (ERGMs) for social networks. We briefly review the two-dimensional hierarchy of potential dependence structures for network tie variables that they outlined and provide proofs of the relationships among the model forms and of the nature of their sufficient statistics, noting that
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A clan detector algorithm to identify independent clans in the kinship networks of elite family dynasties Social Networks (IF 2.9) Pub Date : 2024-08-01 Niccolò Giorgio Armandola
The sociology of elites has long considered families as the unit of analysis in studies of power dynamics between elite dynasties and their transmission of wealth and prestige over generations. However, the assumption that families are cohesive units with common goals and agendas does not hold, especially for large and powerful family dynasties. Internal conflicts and clan rivalries throughout history
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Corruption dynamics in public procurement: A longitudinal network analysis of local construction contracts in Guatemala Social Networks (IF 2.9) Pub Date : 2024-07-25 Harald Waxenecker, Christina Prell
Spending concentration, political influence, and collusion violate rules and principles of open and fair public procurement, leading to corrupt contract allocation. This study adopts stochastic actor-oriented models to test the evolution of these forms of procurement corruption risks in a longitudinal network study of 33579 construction contracts pertaining to Guatemalan local governments from 2012
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Corrigendum to “How adolescents’ popularity perceptions change: Measuring interactions between popularity and friendship networks” [Soc. Netw. 78 (2024) 1462] Social Networks (IF 2.9) Pub Date : 2024-07-24 Ana Bravo, Robert W. Krause, Rosario Ortega-Ruiz, Eva M. Romera
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Lifetime internal migration trajectories and social networks: Do repeat migrants fare worst? Social Networks (IF 2.9) Pub Date : 2024-07-10 Jing Wu, Aude Bernard, Elisabeth Gruber
While the economic benefits of internal migration are widely documented, the social costs of internal migration have received comparatively less attention. In addition, most studies focus on the impact of the last-recorded migration, ignoring the cumulative impact of successive migrations. Grounded in the life-course trajectory approach to migration and the convoy model of social networks, this paper
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Evaluating disease surveillance strategies for early outbreak detection in contact networks with varying community structure Social Networks (IF 2.9) Pub Date : 2024-07-10 Axel Browne, David Butts, Edgar Jaramillo-Rodriguez, Nidhi Parikh, Geoffrey Fairchild, Zach Needell, Cristian Poliziani, Tom Wenzel, Timothy C. Germann, Sara Del Valle
Disease surveillance systems allow public health agencies to respond to emerging diseases before they become widespread. Developing such systems requires identifying optimal ways to monitor in the context of an epidemic outbreak; this problem is known as . Contact networks represent the dynamics of interaction in a population and are used to model how a disease spreads in a population and to explore
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Too many options: How to identify coalitions in a policy network? Social Networks (IF 2.9) Pub Date : 2024-07-08 Thibaud Deguilhem, Juliette Schlegel, Jean-Philippe Berrou, Ousmane Djibo, Alain Piveteau
For different currents in policy analysis as policy networks and the Advocacy Coalition Framework (ACF), identifying coalitions from policy beliefs and coordination between actors is crucial to a precise understanding of a policy process. Focusing particularly the relational dimension of ACF approaches linked with policy network analysis, determining policy subsystems from the actor collaborations
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Nonresponse in name generators across countries and survey modes Social Networks (IF 2.9) Pub Date : 2024-07-05 Ricardo González, Esteban Muñoz, Adolfo Fuentes
Past research indicates interviewer effects lead to an underestimation of network size and higher nonresponse to the “important matters” name generator. Self-administered surveys offer a potential solution, but evidence is mixed and context-specific. We employ a logistic multilevel regression, estimated using a Bayesian Markov Chain Monte Carlo approach, to analyze nonresponse to this name generator
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Categorical closure: Transitivity and identities in longitudinal networks Social Networks (IF 2.9) Pub Date : 2024-07-02 Chen-Shuo Hong, Anthony Paik, Swethaa Ballakrishnen, Carole Silver, Steven Boutcher
This research examines whether categorical closure – an increased tendency for closure in homogeneous triads – matters for tie formation and tie persistence. We utilized 2019–2020 panel data on students’ networks at three law schools and employed separable temporal exponential random graph models to examine whether closed triads with shared identities were more likely to form and to persist over time
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Coming into relations: How communication reveals and persuades relational decisions Social Networks (IF 2.9) Pub Date : 2024-06-17 Daniel A. McFarland, David Broska, Vinodkumar Prabhakaran, Dan Jurafsky
Coming into relations involves exiting a state of indecision and deciding whether to relate or not. Little research has focused on these initial moments, the communications involved, and the making of a relational decision. We study this process using 947 speed dating encounters, their minute-by-minute communications, and the reported timing of relational decisions. We show that certain forms of communication
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Choosing isolation in the face of stigma: Relational work in tie severance among Korean unwed mothers Social Networks (IF 2.9) Pub Date : 2024-06-15 Juhwan Seo
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Occupational selection and the reliability of position generator measures of social capital Social Networks (IF 2.9) Pub Date : 2024-06-14 Peter V. Marsden, Derick S. Baum
This article investigates how variation in the social positions (occupations) presented by a position generator (PG) instrument affects the reliability of egocentric network measures based on PG data. We modify the split-half design employed in Verhaeghe et al.’s (2013) study of university students for use with already-existing PG data on a national adult population. After replicating that study, we
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Modeling non-linear effects with neural networks in Relational Event Models Social Networks (IF 2.9) Pub Date : 2024-06-07 Edoardo Filippi-Mazzola, Ernst C. Wit
Dynamic networks offer an insight of how relational systems evolve. However, modeling these networks efficiently remains a challenge, primarily due to computational constraints, especially as the number of observed events grows. This paper addresses this issue by introducing the Deep Relational Event Additive Model (DREAM) as a solution to the computational challenges presented by modeling non-linear
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Interaction dynamics in classroom group work Social Networks (IF 2.9) Pub Date : 2024-06-04 Tomáš Lintner, Tomáš Diviák, Barbora Nekardová
Group work in classrooms is employed by teachers across all levels of education. For group work to be effective, all students should participate equally. Why some students engage in interaction and how group size and composition influence interaction dynamics is a research gap. We employed dynamic actor-oriented models on a sample of 145 Czech lower-secondary students in 62 small groups and pooled
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Indicators of the formation of precedent at the International Court of Justice Social Networks (IF 2.9) Pub Date : 2024-05-28 Daniele Bellutta, Kathleen M. Carley
This study expands upon prior analysis of the case citation network of the International Court of Justice (ICJ) by demonstrating that reverse page-rank outperforms hub and authority score in identifying significant sources of precedent. Application of reverse page-rank reveals that though ICJ decisions that are well grounded in prior cases tend to become more important sources of precedent, this relationship
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Socio-economic segregation in a population-scale social network Social Networks (IF 2.9) Pub Date : 2024-04-21 Yuliia Kazmina, Eelke M. Heemskerk, Eszter Bokányi, Frank W. Takes
We propose a social network-aware approach to study socio-economic segregation. The key question that we address is whether patterns of segregation are more pronounced in social networks than in the common spatial neighborhood-focused manifestations of segregation. We, therefore, conduct a population-scale social network analysis to study socio-economic segregation at a comprehensive and highly granular
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Towards a general method to classify personal network structures Social Networks (IF 2.9) Pub Date : 2024-04-09 Miguel A. González-Casado, Gladis Gonzales, José Luis Molina, Angel Sánchez
In this study, we present a method to uncover the fundamental dimensions of structural variability in Personal Networks (PNs) and develop a classification solely based on these structural properties. We address the limitations of previous literature and lay the foundation for a rigorous methodology to construct a Structural Typology of PNs. We test our method with a dataset of nearly 8,000 PNs belonging
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Contingent bridge supervision: New evidence and cautions for network theory Social Networks (IF 2.9) Pub Date : 2024-04-09 Diego Jannace, Ronald S. Burt
Bridge supervision occurs when manager and boss operate in separate social worlds, a condition increasingly likely as managers work more often from locations outside the office. The concept of bridge supervision was proposed using evidence from managers balkanized into product and geographic silos. Silos facilitate managers segregated from the boss. We here try to test support for bridge supervision
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Network portfolio diversity and social innovation: An egocentric approach to cross-sector partnerships Social Networks (IF 2.9) Pub Date : 2024-03-29 Jiawei Sophia Fu
The culmination of network and organization research suggests diverse network ties bolster innovation. Extending this line of research, this study examines how three distinct dimensions of network portfolio diversity—, , and —are related to organizational innovation. Survey, ego network, and expert evaluation data on 258 U.S. social ventures suggest that these different dimensions have differential
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Assessing the dynamics of PrEP adoption in a national-scale physician network Social Networks (IF 2.9) Pub Date : 2024-03-23 Matthew Sargent, Luke J. Matthews, George Vega Yon, Erik D. Storholm, Allison J. Ober, Harold D. Green Jr.
This study examines the adoption of a new preventive treatment for HIV called preexposure prophylaxis (PrEP) in a nation-wide network of US physicians. We compare the structure of these networks across nine multi-state census regions, and assess geographic variations in network structure. Within these networks, we measured the adoption threshold associated with physician adoption of PrEP. The low threshold
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Not all friends are created equal: Friendship ties across different social contexts in South Korea Social Networks (IF 2.9) 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 2.9) 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 2.9) 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 2.9) Pub Date : 2024-03-01 Maia King
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 2.9) 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 2.9) 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 2.9) 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 2.9) 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 2.9) 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 ( = 4787 from 235 classes, 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 2.9) 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 2.9) 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 2.9) 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 2.9) 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 2.9) 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 2.9) 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 -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 2.9) 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 2.9) 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 2.9) Pub Date : 2023-11-11 Ana Bravo, Robert W. Krause, Rosario Ortega-Ruiz, Eva M. Romera
Longitudinal multivariate social network analysis (=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 2.9) 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 2.9) 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 2.9) 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 2.9) 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 2.9) 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 2.9) 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 2.9) 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 2.9) 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 2.9) 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 2.9) 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 2.9) 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 2.9) 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 2.9) 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 2.9) 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