Social NetworksPub Date : 2024-06-07DOI: 10.1016/j.socnet.2024.05.004
Edoardo Filippi-Mazzola, Ernst C. Wit
{"title":"Modeling non-linear effects with neural networks in Relational Event Models","authors":"Edoardo Filippi-Mazzola, Ernst C. Wit","doi":"10.1016/j.socnet.2024.05.004","DOIUrl":"https://doi.org/10.1016/j.socnet.2024.05.004","url":null,"abstract":"<div><p>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 effects in Relational Event Models (REMs). DREAM relies on Neural Additive Models to model non-linear effects, allowing each effect to be captured by an independent neural network. By strategically trading computational complexity for improved memory management and leveraging the computational capabilities of graphic processor units (GPUs), DREAM efficiently captures complex non-linear relationships within data. This approach demonstrates the capability of DREAM in modeling dynamic networks and scaling to larger networks. Comparisons with traditional REM approaches showcase DREAM superior computational efficiency. The model potential is further demonstrated by an examination of the patent citation network, which contains nearly 8 million nodes and 100 million events.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"79 ","pages":"Pages 25-33"},"PeriodicalIF":3.1,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378873324000327/pdfft?md5=1df5a4529750bdad68d7db5d742c29eb&pid=1-s2.0-S0378873324000327-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141292115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social NetworksPub Date : 2024-06-04DOI: 10.1016/j.socnet.2024.05.002
Tomáš Lintner , Tomáš Diviák , Barbora Nekardová
{"title":"Interaction dynamics in classroom group work","authors":"Tomáš Lintner , Tomáš Diviák , Barbora Nekardová","doi":"10.1016/j.socnet.2024.05.002","DOIUrl":"https://doi.org/10.1016/j.socnet.2024.05.002","url":null,"abstract":"<div><p>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 the results from the groups with a meta-analytical procedure. We found bursty behavior resulting from endogenous structural mechanisms of reciprocity, transitivity, cyclicity, and preferential attachment. Students gave preference to initiating interactions with those they initiated interactions with before and off-task interaction contributed to the development of on-task interaction. Students strongly preferred interactions with friends. Those students who talked a lot during regular whole-classroom lessons and students with high levels of literacy tended to both initiate and receive more interactions in group work, and students similar in these attributes preferred to interact with each other. Group size did not affect preferential attachment tendencies in interaction, but smaller groups made the effect of friendship ties on interactions stronger, and communication group norms shifted with changing group composition. Our study shows the suitability of dynamic actor-oriented models for studying interaction in education and small groups.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"79 ","pages":"Pages 14-24"},"PeriodicalIF":3.1,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378873324000303/pdfft?md5=98134ddd6ccd6bc98f8b45dfc4929df8&pid=1-s2.0-S0378873324000303-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141250963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social NetworksPub Date : 2024-05-28DOI: 10.1016/j.socnet.2024.04.001
Daniele Bellutta, Kathleen M. Carley
{"title":"Indicators of the formation of precedent at the International Court of Justice","authors":"Daniele Bellutta, Kathleen M. Carley","doi":"10.1016/j.socnet.2024.04.001","DOIUrl":"https://doi.org/10.1016/j.socnet.2024.04.001","url":null,"abstract":"<div><p>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 is weak when compared to the US Supreme Court. This tempers past conclusions that the ICJ has become more similar to common law systems but supports a view of the Court as an institution that balances consistency in its application of international law with the statutory limits on using its decisions as sources of such law. In addition, a novel method for constructing agreement networks between judges is leveraged to identify ICJ judges with influential positions. This provides evidence that certain judges may be more indicative of which decisions become important in the future. Though the strength of this influence is also limited, it nevertheless suggests that some ICJ judges may better represent the development of international legal precedent than others.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"79 ","pages":"Pages 1-13"},"PeriodicalIF":3.1,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378873324000200/pdfft?md5=f47e6c5e45e7866d4899367201ee51e8&pid=1-s2.0-S0378873324000200-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141164232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social NetworksPub Date : 2024-04-21DOI: 10.1016/j.socnet.2024.02.005
Yuliia Kazmina , Eelke M. Heemskerk , Eszter Bokányi , Frank W. Takes
{"title":"Socio-economic segregation in a population-scale social network","authors":"Yuliia Kazmina , Eelke M. Heemskerk , Eszter Bokányi , Frank W. Takes","doi":"10.1016/j.socnet.2024.02.005","DOIUrl":"https://doi.org/10.1016/j.socnet.2024.02.005","url":null,"abstract":"<div><p>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 social network level. For this, we utilize social network data from Statistics Netherlands on 17.2 million registered residents of the Netherlands that are connected through around 1.3 billion ties distributed over five distinct tie types. We take income assortativity as a measure of socio-economic segregation, compare a social network and spatial neighborhood approach, and find that the social network structure exhibits two times as much segregation. As such, this work complements the spatial perspective on segregation in both literature and policymaking. While at a widely used unit of spatial aggregation (e.g., the geographical neighborhood), patterns of socio-economic segregation may appear relatively minimal, they may in fact persist in the underlying social network structure. Furthermore, we discover higher social network segregation in larger cities, shedding a different light on the common view of cities as hubs for diverse socio-economic mixing. A population-scale social network perspective hence offers a way to uncover hitherto “hidden” segregation that extends beyond spatial neighborhoods and infiltrates multiple aspects of human life.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"78 ","pages":"Pages 279-291"},"PeriodicalIF":3.1,"publicationDate":"2024-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378873324000157/pdfft?md5=ea8d88007516c0afe0b42d4ba4313895&pid=1-s2.0-S0378873324000157-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140631723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social NetworksPub Date : 2024-04-09DOI: 10.1016/j.socnet.2024.03.004
Miguel A. González-Casado , Gladis Gonzales , José Luis Molina , Angel Sánchez
{"title":"Towards a general method to classify personal network structures","authors":"Miguel A. González-Casado , Gladis Gonzales , José Luis Molina , Angel Sánchez","doi":"10.1016/j.socnet.2024.03.004","DOIUrl":"https://doi.org/10.1016/j.socnet.2024.03.004","url":null,"abstract":"<div><p>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 to high school students. We find that the structural variability of these PNs can be described in terms of six basic dimensions encompassing community and cohesive subgroup structure, as well as levels of cohesion, hierarchy, and centralization. Our method allows us to categorize these PNs into eight types and to interpret them structurally. We assess the robustness and generality of our methodology by comparing with previous results on structural typologies. To encourage its adoption, its improvement by others, and to support future research, we provide a publicly available Python class, enabling researchers to utilize our method and test the universality of our results.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"78 ","pages":"Pages 265-278"},"PeriodicalIF":3.1,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378873324000194/pdfft?md5=38d792b1b8e705770073172ca9546a0d&pid=1-s2.0-S0378873324000194-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140539120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social NetworksPub Date : 2024-04-09DOI: 10.1016/j.socnet.2024.03.003
Diego Jannace , Ronald S. Burt
{"title":"Contingent bridge supervision: New evidence and cautions for network theory","authors":"Diego Jannace , Ronald S. Burt","doi":"10.1016/j.socnet.2024.03.003","DOIUrl":"https://doi.org/10.1016/j.socnet.2024.03.003","url":null,"abstract":"<div><p>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 hypotheses in a cohesive population of HR managers, where bridge supervision would be more difficult. Cohesion does limit the evidence of bridge supervision, but we nevertheless confirm the phenomenon's central hypotheses: bridge supervision is associated with role segregation between manager and boss, and manager performance is unaffected. More, by explicitly considering a broader set of network indicators of bridge supervision, we replicate Burt and Wang’s (2022) focus on just two: mutual contacts, and manager-exclusive density. We close with key features of bridge supervision now replicated, cautions on how easily the phenomenon can be undetected in a cohesive study population, and implications for future research.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"78 ","pages":"Pages 253-264"},"PeriodicalIF":3.1,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378873324000182/pdfft?md5=0f3eab27d3c9c4611b1a074b5c0e2115&pid=1-s2.0-S0378873324000182-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140536232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social NetworksPub Date : 2024-03-29DOI: 10.1016/j.socnet.2024.03.002
Jiawei Sophia Fu
{"title":"Network portfolio diversity and social innovation: An egocentric approach to cross-sector partnerships","authors":"Jiawei Sophia Fu","doi":"10.1016/j.socnet.2024.03.002","DOIUrl":"https://doi.org/10.1016/j.socnet.2024.03.002","url":null,"abstract":"<div><p>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—<em>duration</em>, <em>tie strength</em>, and <em>collaboration type</em>—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 impact on the novelty of ideas organizations develop to tackle social issues (i.e., <em>social</em> innovation). Specifically, while diversity in relationship <em>duration</em> with nonprofit partners had an inverted U-shaped curvilinear relationship with social innovation, diversity in <em>collaboration type</em> with business partners and diversity in <em>tie strength</em> with government partners each had a U-shaped curvilinear relationship. These results highlight that the relationship between network diversity and organizational innovation is contingent on the network portfolio dimension, as well as the partner sector. This research contributes to theorizing on social and interorganizational networks, cross-sector partnerships, and social innovation. Findings also have implications for organizational leaders as they configure heterogeneous ego network portfolios to boost innovation for social impact.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"78 ","pages":"Pages 238-252"},"PeriodicalIF":3.1,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378873324000170/pdfft?md5=14fdd0c40ae15a4613241b5f676fb4cd&pid=1-s2.0-S0378873324000170-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140321312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social NetworksPub Date : 2024-03-23DOI: 10.1016/j.socnet.2024.02.001
Matthew Sargent , Luke J. Matthews , George Vega Yon , Erik D. Storholm , Allison J. Ober , Harold D. Green Jr.
{"title":"Assessing the dynamics of PrEP adoption in a national-scale physician network","authors":"Matthew Sargent , Luke J. Matthews , George Vega Yon , Erik D. Storholm , Allison J. Ober , Harold D. Green Jr.","doi":"10.1016/j.socnet.2024.02.001","DOIUrl":"https://doi.org/10.1016/j.socnet.2024.02.001","url":null,"abstract":"<div><p>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 values that we observe are consistent with the hypothesis that slow PrEP adoption is the result of a lack of knowledge and exposure among physicians. Regression results demonstrate the mix of market, epidemiological, and socio/cultural factors that shape adoption thresholds.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"78 ","pages":"Pages 226-237"},"PeriodicalIF":3.1,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140190920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social NetworksPub Date : 2024-03-13DOI: 10.1016/j.socnet.2024.02.002
Chaeyoon Lim , Yoonyoung Na , Hyeona Park , Dong-Kyun Im
{"title":"Not all friends are created equal: Friendship ties across different social contexts in South Korea","authors":"Chaeyoon Lim , Yoonyoung Na , Hyeona Park , Dong-Kyun Im","doi":"10.1016/j.socnet.2024.02.002","DOIUrl":"https://doi.org/10.1016/j.socnet.2024.02.002","url":null,"abstract":"<div><p>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 for Koreans, shaping homophily patterns. Additionally, we uncover substantial variations in tie strength across timings and contexts of tie formation. We discuss the implications of these findings, highlighting the role of social and cultural contexts in shaping personal networks.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"78 ","pages":"Pages 212-225"},"PeriodicalIF":3.1,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140122461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Social NetworksPub Date : 2024-03-12DOI: 10.1016/j.socnet.2024.03.001
Adam R. Roth , Siyun Peng
{"title":"Streams of interactions: Social connectedness in daily life","authors":"Adam R. Roth , Siyun Peng","doi":"10.1016/j.socnet.2024.03.001","DOIUrl":"https://doi.org/10.1016/j.socnet.2024.03.001","url":null,"abstract":"<div><p>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 sources of support, information, comparison, and control. It further allows us to capture certain types of social connections that are commonly missed in traditional social network questionnaires. Second, we examine how social context fosters interactions between different types of people. Upon analyzing data from the American Time Use Survey, we find that a majority of respondents (69%) engaged in at least one interaction with a non-household member in a 24-hour period. We also found that interactions with different types of people varied according to social context. Interactions with friends, acquaintances, and “others” were significantly more likely to occur in public contexts rather than private or professional contexts. Collectively, our findings highlight the prevalence of social exposure among the American population as well as the important role of social context in making these interactions possible.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"78 ","pages":"Pages 203-211"},"PeriodicalIF":3.1,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140103727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}