COMPLEX NETWORKS 2018特刊简介

IF 1.4 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY

Network Science Pub Date : 2020-07-01 DOI:10.1017/nws.2020.22

H. Cherifi, Luis Mateus Rocha, S. Wasserman

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引用次数: 0

摘要

我们非常高兴地推出这期《网络科学》特刊，其中收录了第七届复杂网络及其应用国际会议（2018年复杂网络）的扩展论文集。该系列会议于2011年启动，现已发展成为网络科学领域的主要国际活动之一。每年，它都会汇集来自金融和经济学、医学和神经科学、生物学和地球科学、社会学和政治学、计算机科学、物理学等各种科学背景的研究人员，以回顾该领域的现状并形成新的方向。参与者的多样性使得基本问题和创新应用之间能够相互促进。

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Introduction to the special issue on COMPLEX NETWORKS 2018

We are extremely pleased to present this special issue of Network Science which contains a collec-tion of extended papers from the Seventh International Conference on Complex Networks & their Applications (COMPLEX NETWORKS 2018). Initiated in 2011, the conference series has grown to become one of the major international events in network science. Every year, it brings together researchers from a wide variety of scientiﬁc backgrounds ranging from ﬁnance and economics, medicine and neuroscience, biology and earth sciences, sociology and political science, computer science, physics, and many others in order to review the current state of the ﬁeld and formu-late new directions. The great diversity of the participants allows for cross-fertilization between fundamental issues and innovative applications.

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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.