COMPLEX NETWORKS 2019特刊简介

IF 1.4 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY Network Science Pub Date : 2021-08-05 DOI:10.1017/nws.2021.8
H. Cherifi, Luis M. Rocha
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引用次数: 0

摘要

本期《网络科学》特刊收录了第八届复杂网络及其应用国际会议(Complex Networks 2019)的扩展论文。这一网络科学领域的重大国际活动每年都会汇集来自世界各地的研究人员。与会者的科学背景非常多样化,从金融学和经济学,医学和神经科学,生物学和地球科学,社会学和政治学到数学和计算机科学,物理学,以及许多其他学科,使其成为回顾该领域现状和制定新方向的特殊机会。本次会议于2019年12月10日至12月12日在葡萄牙里斯本的Calouste Gulbenkian基金会举行。它吸引了来自全球58个国家的作者提交的470份作品。经过全面审查,我们选择了161篇论文纳入Cherifi et al. (2020a,b)。会议计划还包括Lada Adamic (Facebook, Inc,美国),Reka Albert(宾夕法尼亚州立大学,美国),Ulrik Brandes(瑞士苏黎世联邦理工学院),Stefan Thurner(奥地利维也纳医科大学),Jari Saramki(芬兰阿尔托大学)和Michalis Vazirgiannis (LIX, cole Polytechnique,法国)的主题演讲。本期特刊邀请的论文是根据与期刊的相关性和会议版本的优秀评论从已接受的投稿中挑选出来的。作者被要求提交一份会议论文的扩展版本,以供期刊发表,按照惯例,增加30%的新材料。这些投稿经过了标准的双盲评审过程,由期刊指南规定。本期特刊接受的七篇论文提供了一个显著的样本,说明了网络科学研究中研究的问题的多样性。
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Introduction to the special issue on COMPLEX NETWORKS 2019
This special issue of Network Science contains a collection of extended papers from the 8th International Conference on Complex Networks & their Applications (COMPLEX NETWORKS 2019) . This major international event in network science brings together every year researchers from around the globe. The great diversity of the participants’ scientific backgrounds ranges from Finance and Economics, Medicine and Neuroscience, Biology and Earth Sciences, Sociology and Political Science to Mathematics and Computer Science, Physics, and many others, making it a special opportunity to review the current state of the field and formulate new directions. This edition of the conference took place at the Calouste Gulbenkian Foundation in Lisbon (Portugal) from December 10 to December 12, 2019. It attracted 470 submissions with authors from 58 countries all over the world. After thorough review, 161 papers were selected to be included in the proceedings Cherifi et al. (2020a,b). The conference program also included keynote presentations from Lada Adamic (Facebook, Inc., USA), Reka Albert (Pennsylvania State University, USA), Ulrik Brandes (ETH Zurich, Switzerland), Stefan Thurner (Medical University of Vienna, Austria), Jari Saramki (Aalto University, Finland), and Michalis Vazirgiannis (LIX, cole Polytechnique, France). Papers invited for this special issue have been selected from the accepted contributions based on relevance to the journal and excellent reviews of the conference version of the papers. The authors were asked to submit an extended version of their conference submission for journal publication in accordance with the customary practice of adding 30% new material. These submissions went through the standard double-blind review process dictated by the journal guidelines. The seven papers accepted to this special issue provide a remarkable sample illustrating the diversity of issues studied in network science research.
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来源期刊
Network Science
Network Science SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
3.50
自引率
5.90%
发文量
24
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.
期刊最新文献
Guiding prevention initiatives by applying network analysis to systems maps of adverse childhood experiences and adolescent suicide The latent cognitive structures of social networks Algorithmic aspects of temporal betweenness When can networks be inferred from observed groups? Generating preferential attachment graphs via a Pólya urn with expanding colors
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