NWS第9卷第2期封面和封底

IF 1.4 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY

Network Science Pub Date : 2021-06-01 DOI:10.1017/nws.2021.7

Bronwyn Thompson

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引用次数: 0

摘要

原始文章测量状态偏好的网络方法max gallop和shahryar minhas 135社区检测的人工基准（ABCD）——具有社区结构的快速随机图模型bogumiłkamiński，pawełpra 322; at和françois théberge 153加权和定向社交网络中的边缘重叠heather mattie和jukka pekka onnela 179功能残疾和儿童在美国老年人核心讨论网络中的角色markus h.schafer和laura upenieks 194行动者在政策网络中扮演的角色：在强有力的制度化领域中的核心地位karin ingold，manuel fischer和dimitris christopoulos 213个人网络主题分析的融合混合方法：护理支持网络的两个案例研究reza yousefi nooraie、bronwyn thompson、chelsea d’silva、ian zenlea、maryam tabatabee和ardavan mohammad aghaei 236网络科学编辑团队

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NWS volume 9 issue 2 Cover and Back matter

original Articles A network approach to measuring state preferences max gallop and shahryar minhas 135 Artificial Benchmark for Community Detection (ABCD)—Fast random graph model with community structure bogumił kamiński, paweł prałat and françois théberge 153 Edge overlap in weighted and directed social networks heather mattie and jukka-pekka onnela 179 Functional disability and the role of children in U.S. older adults’ core discussion networks markus h. schafer and laura upenieks 194 The roles actors play in policy networks: Central positions in strongly institutionalized fields karin ingold, manuel fischer and dimitris christopoulos 213 A fused mixed-methods approach to thematic analysis of personal networks: Two case studies of caregiver support networks reza yousefi nooraie, bronwyn thompson, chelsea d’silva, ian zenlea, maryam tabatabaee and ardavan mohammad aghaei 236 network science editorial team

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来源期刊

Network Science SOCIAL SCIENCES, INTERDISCIPLINARY-

CiteScore

3.50

自引率

5.90%

发文量

期刊介绍： Network Science is an important journal for an important discipline - one using the network paradigm, focusing on actors and relational linkages, to inform research, methodology, and applications from many fields across the natural, social, engineering and informational sciences. Given growing understanding of the interconnectedness and globalization of the world, network methods are an increasingly recognized way to research aspects of modern society along with the individuals, organizations, and other actors within it. The discipline is ready for a comprehensive journal, open to papers from all relevant areas. Network Science is a defining work, shaping this discipline. The journal welcomes contributions from researchers in all areas working on network theory, methods, and data.