| 1. |
- Brouwer, Jasperina, et al.
(författare)
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The development of peer networks and academic performance in learning communities in higher education
- 2022
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Ingår i: Learning and instruction. - Oxford, United Kingdom : Elsevier. - 0959-4752 .- 1873-3263. ; 80
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Tidskriftsartikel (refereegranskat)abstract
- In learning communities, students share their knowledge which might contribute to academic performance. This study disentangles peer selection from influence processes in modelling first-year students’ academic performance after the transition to university. Longitudinal peer network data were obtained from 95 bachelor students at two time points in a social sciences study programme with eight learning communities. Using co-evolution modelling in RSiena, we found that students help each other more often when they are already friends and students who help each other academically are more likely to become friends. The higher a student performs, the more often the student is selected as a friend or as an academic helper and the more often this higher-performing student initiates friendship and academic help relationships. Although learning communities are often implemented to enhance academic performance, we did not find evidence that peer relationships in learning communities influence academic performance.
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| 2. |
- Garrido-Skurkowicz, Natalia, et al.
(författare)
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Networked solidarity economy : Gender in interorganizational networks. An evaluation with ERGMs
- 2022
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Ingår i: Applied Network Science. - London, United Kingdom : Springer Nature. - 2364-8228. ; 7:1
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Tidskriftsartikel (refereegranskat)abstract
- For their economic success, organizations in the social economy are particularly dependent on access to collective resources through interorganizational networks. Because self-organised network governance of an economy is notoriously intransparent, there is the danger that existing societal inequalities get replicated particularly well. This creates a tension with the equality-promoting mission of these organizations. This paper investigates the degree to which the goal of gender equality has been realized in the social economy of Barcelona. By analysing networks of advice-seeking and economic collaboration with exponential random graph models, network mechanisms are analysed to estimate gender-based inequality.
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| 3. |
- Krause, Robert W., et al.
(författare)
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Missing Network Data A Comparison of Different Imputation Methods
- 2018
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Ingår i: 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). - : Institute of Electrical and Electronics Engineers (IEEE). - 9781538660515 - 9781538660522 ; , s. 159-163
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Konferensbidrag (refereegranskat)abstract
- This paper compares several imputation methods for missing data in network analysis on a diverse set of simulated networks under several missing data mechanisms. Previous work has highlighted the biases in descriptive statistics of networks introduced by missing data. The results of the current study indicate that the default methods (analysis of available cases and null-tie imputation) do not perform well with moderate or large amounts of missing data. The results further indicate that multiple imputation using sophisticated imputation models based on exponential random graph models (ERGMs) lead to acceptable biases even under large amounts of missing data.
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| 4. |
- Laninga, Lydia, et al.
(författare)
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The Role of Prosocial and Aggressive Popularity Norm Combinations in Prosocial and Aggressive Friendship Processes’
- 2020
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Ingår i: Journal of Youth and Adolescence. - : Springer-Verlag New York. - 0047-2891 .- 1573-6601. ; 49:3, s. 645-663
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Tidskriftsartikel (refereegranskat)abstract
- Prior work has shown that popular peers can set a powerful norm for the valence and salience of aggression in adolescent classrooms, which enhances aggressive friendship processes (selection, maintenance, influence). It is unknown, however, whether popular peers also set a norm for prosocial behavior that can buffer against aggressive friendship processes and stimulate prosocial friendship processes. This study examined the role of prosocial and aggressive popularity norm combinations in prosocial and aggressive friendship processes. Three waves of peer-nominated data were collected in the first- and second year of secondary school (N = 1816 students; 81 classrooms; Mage = 13.06; 50.5% girl). Longitudinal social network analyses indicate that prosocial popularity norms have most power to affect both prosocial and aggressive friendship processes when aggressive popularity norms are non-present. In prosocial classrooms (low aggressive and high prosocial popularity norms), friendship maintenance based on prosocial behavior is enhanced, whereas aggressive friendship processes are largely mitigated. Instead, when aggressive popularity norms are equally strong as prosocial norms (mixed classrooms) or even stronger than prosocial norms (aggressive classrooms), aggression is more important for friendship processes than prosocial behavior. These findings show that the prosocial behavior of popular peers may only buffer against aggressive friendship processes and stimulate prosocial friendship processes if these popular peers (or other popular peers in the classroom) abstain from aggression.
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| 5. |
- Purwitasari, Diana, et al.
(författare)
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Identifying collaboration dynamics of bipartite author‑topic networks with the influences of interest changes
- 2020
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Ingår i: Scientometrics. - : Akademiai Kiado. - 0138-9130 .- 1588-2861. ; 122, s. 1407-1443
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Tidskriftsartikel (refereegranskat)abstract
- Knowing driving factors and understanding researcher behaviors from the dynamics of collaborations over time offer some insights, i.e. help funding agencies in designing research grant policies. We present longitudinal network analysis on the observed collaborations through co-authorship over 15 years. Since co-authors possibly influence researchers to have interest changes, by focusing on researchers who could become the influencer, we propose a stochastic actor-oriented model of bipartite (two-mode) author-topic networks from article metadata. Information of scientific fields or topics of article contents, which could represent the interests of researchers, are often unavailable in the metadata. Topic absence issue differentiates this work with other studies on collaboration dynamics from article metadata of title-abstract and author properties. Therefore, our works also include procedures to extract and map clustered keywords as topic substitution of research interests. Then, the next step is to generate panel-waves of co-author networks and bipartite author-topic networks for the longitudinal analysis. The proposed model is used to find the driving factors of co-authoring collaboration with the focus on researcher behaviors in interest changes. This paper investigates the dynamics in an academic social network setting using selected metadata of publicly-available crawled articles in interrelated domains of “natural language processing” and “information extraction”. Based on the evidence of network evolution, researchers have a conformed tendency to co-author behaviors in publishing articles and exploring topics. Our results indicate the processes of selection and influence in forming co-author ties contribute some levels of social pressure to researchers. Our findings also discussed on how the co-author pressure accelerates the changes of interests and behaviors of the researchers.
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| 6. |
- Snijders, Tom, et al.
(författare)
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Network Dynamics
- 2023. - 2nd
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Ingår i: The SAGE Handbook of Social Network Analysis. - Thousand Oaks : Sage Publications.
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Bokkapitel (refereegranskat)abstract
- This chapter gives a critical overview of the models available for analyzing longitudinal social network data, and sketches the two most important model families, the stochastic actor-oriented models and the longitudinal exponential random graph models.
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| 7. |
- Steglich, Christian, Dr, 1968-, et al.
(författare)
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Stochastic network modelling as generative social science
- 2022
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Ingår i: Handbook of sociological science. - Cheltenham : Edward Elgar Publishing. - 9781789909425 - 9781789909432 ; , s. 73-99
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Bokkapitel (refereegranskat)abstract
- Stochastic models of sociocentric networks were originally developed for testing hypotheses about micro-level dependencies on the basis of empirical network data. Such dependencies lead to phenomena like clustering, hub formation, or network autocorrelation. Due to the complex nature of sociocentric networks, parameter estimates of these models are typically obtained by simulation-based inference. This opens the possibility of re-purposing these models as simulation tools for the study of emergent macro-level phenomena. The combination of fitting micro-level models to empirical data sets and explanation of macro-level outcomes renders these models powerful tools for sociological inquiry into interdependent social systems. In this chapter, the use of stochastic actor-oriented models as generative models for such networked social systems is discussed. This is illustrated with an investigation of the emergence of subgroups in adolescents' friendship networks.
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| 8. |
- van der Ploeg, Rozemarijn, et al.
(författare)
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The way bullying works : How new ties facilitate the mutual reinforcement of status and bullying in elementary schools
- 2020
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Ingår i: Social Networks. - : Elsevier. - 0378-8733 .- 1879-2111. ; 60, s. 71-82
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Tidskriftsartikel (refereegranskat)abstract
- This study addresses the puzzle how high-status bullies in elementary school are able to maintain high status among their classmates despite bullying (some of) them. The dynamic interplay between bullying and status was studied, focusing on how relational bullying affects the creation, dissolution, and maintenance of status attributions, and vice versa. Longitudinal round-robin peer nomination data were obtained from 82 school classes in15 Dutch elementary schools (2055 students; 50% boys) followed over three yearly measurements, starting out in grades 2–5 when students were aged 8-11. An age-dependent effect of bullying on the creation of new status attributions was found. Whereas the youngest group punished bullying by a refusal to attribute status to the bully, this turned into a reward of bullying in the oldest groups. Unexpectedly, high-status bullies seemed to avoid continual bullying of the same victims, pointing to explanations of why their status can persist.
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| 9. |
- van Rijsewijk, Loes, et al.
(författare)
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The Interplay between Adolescents’ Friendships and the Exchange of Help : A Longitudinal Multiplex Social Network Study
- 2019
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Ingår i: Journal of research on adolescence. - : Wiley-Blackwell Publishing Inc.. - 1050-8392 .- 1532-7795.
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Tidskriftsartikel (refereegranskat)abstract
- The aim of this study was to unravel the interrelatedness of friendship and help, and to examine the characteristics of friendship and help networks. The effects of mutual versus one‐sided help relations on friendship initiation and maintenance, and vice versa, were examined. Friendship and help networks were analyzed (N = 953 students; 41 classrooms; Mage = 12.7). The results illustrate that friendship and help networks show some similarities, but only partly overlap and have distinct characteristics. Longitudinal multiplex social network analyses showed that mutual help was important for the maintenance of friendship, but not for the initiation of friendship. Further, particularly mutual friendships provided a context in which help took place. Implications of these findings are discussed.
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