Network Science最新文献_第7页

Block dense weighted networks with augmented degree correction 具有增广度校正的块密集加权网络

IF 1.7

Network Science Pub Date : 2021-05-26 DOI: 10.1017/nws.2022.23

Benjamin Leinwand, V. Pipiras

引用次数: 1

Robust coordination in adversarial social networks: From human behavior to agent-based modeling 对抗性社交网络中的鲁棒协调：从人类行为到基于代理的建模

IF 1.7

Network Science Pub Date : 2021-05-17 DOI: 10.1017/nws.2021.5

Chen Hajaj, Zlatko Joveski, Sixie Yu, Yevgeniy Vorobeychik

{"title":"Robust coordination in adversarial social networks: From human behavior to agent-based modeling","authors":"Chen Hajaj, Zlatko Joveski, Sixie Yu, Yevgeniy Vorobeychik","doi":"10.1017/nws.2021.5","DOIUrl":"https://doi.org/10.1017/nws.2021.5","url":null,"abstract":"Abstract Decentralized coordination is one of the fundamental challenges for societies and organizations. While extensively explored from a variety of perspectives, one issue that has received limited attention is human coordination in the presence of adversarial agents. We study this problem by situating human subjects as nodes on a network, and endowing each with a role, either regular (with the goal of achieving consensus among all regular players), or adversarial (aiming to prevent consensus among regular players). We show that adversarial nodes are, indeed, quite successful in preventing consensus. However, we demonstrate that having the ability to communicate among network neighbors can considerably improve coordination success, as well as resilience to adversarial nodes. Our analysis of communication suggests that adversarial nodes attempt to exploit this capability for their ends, but do so in a somewhat limited way, perhaps to prevent regular nodes from recognizing their intent. In addition, we show that the presence of trusted nodes generally has limited value, but does help when many adversarial nodes are present, and players can communicate. Finally, we use experimental data to develop computational models of human behavior and explore additional parametric variations: features of network topologies and densities, and placement, all using the resulting data-driven agent-based (DDAB) model.","PeriodicalId":51827,"journal":{"name":"Network Science","volume":"9 1","pages":"255 - 290"},"PeriodicalIF":1.7,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/nws.2021.5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47154475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Micro-level network dynamics of scientific collaboration and impact: Relational hyperevent models for the analysis of coauthor networks 科学合作与影响的微观层面网络动力学:合作作者网络分析的关系超事件模型

IF 1.7

Network Science Pub Date : 2021-05-04 DOI: 10.1017/nws.2022.29

J. Lerner, Marian-Gabriel Hâncean

{"title":"Micro-level network dynamics of scientific collaboration and impact: Relational hyperevent models for the analysis of coauthor networks","authors":"J. Lerner, Marian-Gabriel Hâncean","doi":"10.1017/nws.2022.29","DOIUrl":"https://doi.org/10.1017/nws.2022.29","url":null,"abstract":"Abstract We discuss a recently proposed family of statistical network models—relational hyperevent models (RHEMs)—for analyzing team selection and team performance in scientific coauthor networks. The underlying rationale for using RHEM in studies of coauthor networks is that scientific collaboration is intrinsically polyadic, that is, it typically involves teams of any size. Consequently, RHEM specify publication rates associated with hyperedges representing groups of scientists of any size. Going beyond previous work on RHEM for meeting data, we adapt this model family to settings in which relational hyperevents have a dedicated outcome, such as a scientific paper with a measurable impact (e.g., the received number of citations). Relational outcome can on the one hand be used to specify additional explanatory variables in RHEM since the probability of coauthoring may be influenced, for instance, by prior (shared) success of scientists. On the other hand, relational outcome can also serve as a response variable in models seeking to explain the performance of scientific teams. To tackle the latter, we propose relational hyperevent outcome models that are closely related with RHEM to the point that both model families can specify the likelihood of scientific collaboration—and the expected performance, respectively—with the same set of explanatory variables allowing to assess, for instance, whether variables leading to increased collaboration also tend to increase scientific impact. For illustration, we apply RHEM to empirical coauthor networks comprising more than 350,000 published papers by scientists working in three scientific disciplines. Our models explain scientific collaboration and impact by, among others, individual activity (preferential attachment), shared activity (familiarity), triadic closure, prior individual and shared success, and prior success disparity among the members of hyperedges.","PeriodicalId":51827,"journal":{"name":"Network Science","volume":"11 1","pages":"5 - 35"},"PeriodicalIF":1.7,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48033553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

A fused mixed-methods approach to thematic analysis of personal networks: Two case studies of caregiver support networks 个人网络专题分析的融合混合方法:护理者支持网络的两个案例研究

IF 1.7

Network Science Pub Date : 2021-05-04 DOI: 10.1017/nws.2021.4

Reza Yousefi Nooraie, Bronwyn Thompson, Chelsea D'Silva, I. Zenlea, M. Tabatabaee, Ardavan Mohammad Aghaei

引用次数: 1

Logic and learning in network cascades 网络级联中的逻辑与学习

IF 1.7

Network Science Pub Date : 2021-04-14 DOI: 10.1017/nws.2021.3

G. Wilkerson, S. Moschoyiannis

引用次数: 3

Continuous latent position models for instantaneous interactions 瞬时相互作用的连续潜在位置模型

IF 1.7

Network Science Pub Date : 2021-03-31 DOI: 10.1017/nws.2023.14

Riccardo Rastelli, Marco Corneli

引用次数: 8

The roles actors play in policy networks: Central positions in strongly institutionalized fields 行为者在政策网络中扮演的角色:在高度制度化领域中的中心位置

IF 1.7

Network Science Pub Date : 2021-03-10 DOI: 10.1017/nws.2021.1

K. Ingold, M. Fischer, D. Christopoulos

引用次数: 7

NWS volume 9 issue 1 Cover and Front matter NWS第9卷第1期封面和封面

IF 1.7

Network Science Pub Date : 2021-03-01 DOI: 10.1017/nws.2020.46

引用次数: 0

Preferential attachment hypergraph with high modularity 具有高模块化的优先依恋超图

IF 1.7

Network Science Pub Date : 2021-03-01 DOI: 10.1017/nws.2022.35

F. Giroire, N. Nisse, Thibaud Trolliet, M. Sułkowska

引用次数: 6

Functional disability and the role of children in U.S. older adults’ core discussion networks 功能障碍和儿童在美国老年人核心讨论网络中的作用

IF 1.7

Network Science Pub Date : 2021-02-26 DOI: 10.1017/nws.2020.48

Markus H. Schafer, Laura Upenieks

{"title":"Functional disability and the role of children in U.S. older adults’ core discussion networks","authors":"Markus H. Schafer, Laura Upenieks","doi":"10.1017/nws.2020.48","DOIUrl":"https://doi.org/10.1017/nws.2020.48","url":null,"abstract":"Abstract This study considered the role of adult children in the core networks of U.S. older adults with varying levels of functional health. Taking a multidimensional perspective of the ego network system, we considered (a) presence of child(ren) in the network, (b) contact with children network members, and (c) embeddedness of children within the network. We observed older parents from three waves of the National Social Life, Health, and Aging Project (NSHAP). The common ‘important matters’ name generator was used to construct egocentric network variables, while self-reported difficulty with activities of daily life was used to measure disablement transitions. Parameters were estimated with Generalized Estimating Equations (GEE). Though child turnover was common in parents’ core networks, there was no evidence linking disablement transitions to systematic forms of child reshuffling. Children that remained in parents’ networks, however, showed increased contact with parents and with other members of the network when the parent underwent disability progression. Disability onset was not significantly linked to either outcome. There was limited evidence of gender variation in these patterns. Overall, results strengthen the view that children are distinctive members of older adults’ core networks. Further, the role of adult children shifts most noticeably at advanced stages of the disablement process.","PeriodicalId":51827,"journal":{"name":"Network Science","volume":"9 1","pages":"194 - 212"},"PeriodicalIF":1.7,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/nws.2020.48","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44077133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0