论文标题

二十年的网络科学:书目和共同创作网络分析

Twenty Years of Network Science: A Bibliographic and Co-Authorship Network Analysis

论文作者

Molontay, Roland, Nagy, Marcell

论文摘要

二十年前,三篇先驱论文将注意力转移到了复杂的网络上,并开始了一个新的研究时代,建立了一个名为Network Science的跨学科领域。也就是说,这些引人注目的精确论文是由Watts&Strogatz,Barabási&Albert以及小型世界网络,无标度网络和复杂网络的社区结构的Girvan&Newman撰写的。在过去的20年中,由于该领域的多学科性质 - 已经出现了一个多样化但没有分裂的网络科学界。在本文中,我们调查了这个社区如何随着时间的流逝而演变在速度,多样性和跨学科性质上,这是通过不断增长的网络科学家共同撰写网络所见(这里的概念是指至少一篇论文的学者引用至少一篇论文,引用了上述三个上述里程碑论文中的至少一篇)。在提供了31,763篇网络科学论文的书目分析之后,我们构建了56,646个网络科学家的共同创作网络,并分析了其拓扑和动态。我们通过研究了共同授权网络的众多结构属性并使用增强的数据可视化技术来阐明网络科学的最后20年的协作模式。我们还确定了最中心的作者,最大的社区,研究了时空变化,并将网络的特性与科学计量指标进行了比较。

Two decades ago three pioneering papers turned the attention to complex networks and initiated a new era of research, establishing an interdisciplinary field called network science. Namely, these highly-cited seminal papers were written by Watts&Strogatz, Barabási&Albert, and Girvan&Newman on small-world networks, on scale-free networks and on the community structure of complex networks, respectively. In the past 20 years - due to the multidisciplinary nature of the field - a diverse but not divided network science community has emerged. In this paper, we investigate how this community has evolved over time with respect to speed, diversity and interdisciplinary nature as seen through the growing co-authorship network of network scientists (here the notion refers to a scholar with at least one paper citing at least one of the three aforementioned milestone papers). After providing a bibliographic analysis of 31,763 network science papers, we construct the co-authorship network of 56,646 network scientists and we analyze its topology and dynamics. We shed light on the collaboration patterns of the last 20 years of network science by investigating numerous structural properties of the co-authorship network and by using enhanced data visualization techniques. We also identify the most central authors, the largest communities, investigate the spatiotemporal changes, and compare the properties of the network to scientometric indicators.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源