Social Networks最新文献

Why distinctiveness centrality is distinctive 特色中心性为何与众不同

IF 2.9 2区社会学

Social Networks Pub Date : 2024-11-16 DOI: 10.1016/j.socnet.2024.11.001

Andrea Fronzetti Colladon , Maurizio Naldi

引用次数: 0

How many friends do youth nominate? A meta-analysis of gender, age, and geographic differences in average outdegree centrality 年轻人提名了多少朋友？平均离散度中心性的性别、年龄和地域差异荟萃分析

IF 2.9 2区社会学

Social Networks Pub Date : 2024-10-16 DOI: 10.1016/j.socnet.2024.10.001

Jennifer Watling Neal

{"title":"How many friends do youth nominate? A meta-analysis of gender, age, and geographic differences in average outdegree centrality","authors":"Jennifer Watling Neal","doi":"10.1016/j.socnet.2024.10.001","DOIUrl":"10.1016/j.socnet.2024.10.001","url":null,"abstract":"<div><div>This pre-registered meta-analysis uses multi-level random effects models to give precise estimates of average outbound best friend and friend nominations – average outdegree centrality – in youth friendship networks and examines whether average outdegree centrality varies by age, gender, and geographic region. Pooling 196 estimates reported in 51 articles reflecting 37 datasets from whole network studies, youth nominated 4.80 best friends on average (<span><math><mrow><mi>S</mi><mi>E</mi><mo>=</mo><mo>.</mo><mn>37</mn></mrow></math></span>). Additionally, pooling 64 estimates reported in 20 articles reflecting 18 datasets from whole network studies, youth nominated 6.05 friends on average (<span><math><mrow><mi>S</mi><mi>E</mi><mo>=</mo><mo>.</mo><mn>60</mn></mrow></math></span>). Early adolescents (10–14 years) nominated significantly more best friends than adolescents (15–18 years). However, there were no significant differences in average outdegree centrality by the gender or geographic region of the sample. Findings provide future research directions for understanding youth socializing environments and implications for peer interventions.</div></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"80 ","pages":"Pages 65-75"},"PeriodicalIF":2.9,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442077","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}

引用次数: 0

A stopping rule for randomly sampling bipartite networks with fixed degree sequences 对具有固定度序列的双方形网络进行随机抽样的停止规则

IF 2.9 2区社会学

Social Networks Pub Date : 2024-09-10 DOI: 10.1016/j.socnet.2024.09.001

Zachary P. Neal

引用次数: 0

Multilevel integrated healthcare: The evaluation of Project ECHO® networks to integrate children’s healthcare in Australia 多层次综合医疗保健：澳大利亚整合儿童医疗保健的 ECHO® 项目网络评估

IF 2.9 2区社会学

Social Networks Pub Date : 2024-09-09 DOI: 10.1016/j.socnet.2024.08.007

C. Broccatelli , P. Nixon , P. Moss , S. Baggio , A. Young , D. Newcomb

{"title":"Multilevel integrated healthcare: The evaluation of Project ECHO® networks to integrate children’s healthcare in Australia","authors":"C. Broccatelli , P. Nixon , P. Moss , S. Baggio , A. Young , D. Newcomb","doi":"10.1016/j.socnet.2024.08.007","DOIUrl":"10.1016/j.socnet.2024.08.007","url":null,"abstract":"<div><p>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 and organisational systems. Studying knowledge transmission among professional networks is essential for optimizing healthcare delivery, promoting innovation, and providing insights on improvement of patient experiences within the healthcare system. We utilize a multilevel approach to shape our data collection strategy. Employing network measures and Multilevel Exponential Random Graph Models, we aim to explore how advice and knowledge sharing behaviours among healthcare professionals and their institutions are interdependently connected. Then, we incorporate network generated results within an evaluation framework for establishing some aspects of the efficiency of the ECHO program along four pillars: <em>Acceptability</em>, <em>Capability</em>, <em>Reachability</em>, and <em>Integration</em>. Our investigation found that among ECHO members, hierarchy is less pronounced compared to across levels and organizations, with certain individuals emerging as central in advice-sharing. The multilevel network perspective showed complex, informal patterns of knowledge and information sharing, including inter-organizational hierarchy, role and sector homophily, brokerage roles with popularity across health organizations, and connectivity through knowledge-sharing in cross-level small group clusters.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"80 ","pages":"Pages 44-58"},"PeriodicalIF":2.9,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378873324000571/pdfft?md5=32414cf56b2f664ab7030fc6a513dfc4&pid=1-s2.0-S0378873324000571-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142162877","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}

引用次数: 0

Corrigendum to “Evaluating disease surveillance strategies for early outbreak detection in contact networks with varying community structure” [Soc. Netw. 79 (2024) 122–132] 社会网络 79 (2024) 122-132] 的更正

IF 2.9 2区社会学

Social Networks Pub Date : 2024-08-30 DOI: 10.1016/j.socnet.2024.08.006

Axel Browne , David Butts , Edgar Jaramillo-Rodriguez , Nidhi Parikh , Geoffrey Fairchild , Zach Needell , Cristian Poliziani , Tom Wenzel , Timothy C. Germann , Sara Del Valle

引用次数: 0

The role of network communication in mediating the effect of a social network intervention on HIV seroconversion among people who inject drugs in Ukraine 网络交流在社会网络干预对乌克兰注射吸毒者艾滋病毒血清转换的中介作用

IF 2.9 2区社会学

Social Networks Pub Date : 2024-08-27 DOI: 10.1016/j.socnet.2024.08.005

Cristina Espinosa da Silva , Heather A. Pines , Thomas L. Patterson , Stephanie Brodine , Richard S. Garfein , Robert E. Booth , Eileen V. Pitpitan

{"title":"The role of network communication in mediating the effect of a social network intervention on HIV seroconversion among people who inject drugs in Ukraine","authors":"Cristina Espinosa da Silva , Heather A. Pines , Thomas L. Patterson , Stephanie Brodine , Richard S. Garfein , Robert E. Booth , Eileen V. Pitpitan","doi":"10.1016/j.socnet.2024.08.005","DOIUrl":"10.1016/j.socnet.2024.08.005","url":null,"abstract":"<div><h3>Background</h3><p>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.</p></div><div><h3>Methods</h3><p>We used randomized controlled trial data from 1200 HIV-negative PWID (Ukraine; 2010–2012) in an inverse-odds weighted analysis to examine mediation by network communication.</p></div><div><h3>Results</h3><p>Network communication mediated 24 % (95 % CI= 19.22–29.38) of the intervention’s effect.</p></div><div><h3>Conclusions</h3><p>Integrating training to support network communication about additional HIV prevention resources could enhance the impact of social network HIV prevention interventions among PWID.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"80 ","pages":"Pages 36-42"},"PeriodicalIF":2.9,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378873324000479/pdfft?md5=5a33d2730517953ce06e20c2549ba34e&pid=1-s2.0-S0378873324000479-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142083366","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}

引用次数: 0

The interplay of misperceptions and willingness to share opinions in full classroom networks: The case of opinions towards homosexuality 全班网络中错误认识与分享观点意愿的相互作用：以对同性恋的看法为例

IF 2.9 2区社会学

Social Networks Pub Date : 2024-08-16 DOI: 10.1016/j.socnet.2024.08.003

Nick Wuestenenk , Tom Nijs , Tobias H. Stark , Frank van Tubergen , Naomi Ellemers

引用次数: 0

Predicting network members from partial contact records on social media: A machine learning approach 从社交媒体上的部分联系记录预测网络成员：机器学习方法

IF 2.9 2区社会学

Social Networks Pub Date : 2024-08-14 DOI: 10.1016/j.socnet.2024.08.004

Shu-Mei Lai , Tso-Jung Yen , Ming-Yi Chang , Yang-chih Fu , Wei-Chung Liu

{"title":"Predicting network members from partial contact records on social media: A machine learning approach","authors":"Shu-Mei Lai , Tso-Jung Yen , Ming-Yi Chang , Yang-chih Fu , Wei-Chung Liu","doi":"10.1016/j.socnet.2024.08.004","DOIUrl":"10.1016/j.socnet.2024.08.004","url":null,"abstract":"<div><p>Surveys conducted on social groups often generate incomplete information due to imperfect response rates. Drawing on Facebook data from a nationally representative sample of graduating college students in Taiwan, we examined the extent to which partial contact records predict which Facebook users belong to a specific class. We first used data from classes with low to middle response rates to train a model for classmate prediction. Based on data from classes with high or perfect response rates, we simulated data by using four different sampling methods with various response rates, and applied the trained model on simulated data to classmate prediction. With a minimal response rate of 40 percent, we achieved an accuracy rate of 90 percent and a true positive rate of 86 percent. Chronological order sampling had the best prediction performance, followed closely by popularity sampling, then by random sampling, and lastly by unpopularity sampling.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"80 ","pages":"Pages 10-24"},"PeriodicalIF":2.9,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378873324000455/pdfft?md5=cc4c9fafb61af2fdbf03825448a7f086&pid=1-s2.0-S0378873324000455-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141985588","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}

引用次数: 0

Social balance-based centrality measure for directed signed networks 基于社会平衡的有向签名网络中心度量法

IF 2.9 2区社会学

Social Networks Pub Date : 2024-08-14 DOI: 10.1016/j.socnet.2024.08.002

Dmitry Gromov

引用次数: 0

Symbolic association networks: A case study of orchestral programming’s effect on the reputation of composers 符号关联网络：管弦乐节目对作曲家声誉影响的案例研究

IF 2.9 2区社会学

Social Networks Pub Date : 2024-08-07 DOI: 10.1016/j.socnet.2024.08.001

L.E.A. Braden , Ju Hyun Park , Jay Lee

{"title":"Symbolic association networks: A case study of orchestral programming’s effect on the reputation of composers","authors":"L.E.A. Braden , Ju Hyun Park , Jay Lee","doi":"10.1016/j.socnet.2024.08.001","DOIUrl":"10.1016/j.socnet.2024.08.001","url":null,"abstract":"<div><p>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 and we test whether a network of such associations influence cultural recognition. To do this, we use dyadic connections between classical music composers created by conductors for orchestra performance and determine whether a composer’s symbolic association network (SAN) aids recognition in publications. We find SANs to have a significant impact on the extent of reputational recognition, even when holding a composer’s individual status achievements constant. Composers with a large symbolic association network and those who bridge unconnected composers tend to receive more recognition. We discuss the influence of symbolic association networks on perception of reputational significance. We suggest SANs may advance research in reputation and culture particularly when considering actors whose reputation is active beyond their work or lifetime, such as artists, writers, musicians, and historical figures.</p></div>","PeriodicalId":48353,"journal":{"name":"Social Networks","volume":"79 ","pages":"Pages 198-208"},"PeriodicalIF":2.9,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378873324000431/pdfft?md5=272aa0fc9439eae463d339ace55e0d19&pid=1-s2.0-S0378873324000431-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141962908","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}

引用次数: 0