Complex networks have attracted a great deal of research interest in the last two decades since Watts & Strogatz, Barab\'asi & Albert and Girvan & Newman published their highly-cited seminal papers on small-world networks, on scale-free networks and on the community structure of complex networks, respectively. These fundamental papers initiated a new era of research establishing an interdisciplinary field called network science. Due to the multidisciplinary nature of the field, a diverse but not divided network science community has emerged in the past 20 years. This paper honors the contributions of network science by exploring the evolution of this community 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 investigating various characteristics of 29,528 network science papers, we construct the co-authorship network of 52,406 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.

中文翻译：

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从网络科学家的合着网络看网络科学的两个十年

自从 Watts & Strogatz、Barab\'asi & Albert 和 Girvan & Newman 在小世界网络、无标度网络和复杂网络的社区结构，分别。这些基础论文开创了一个新的研究时代，建立了一个称为网络科学的跨学科领域。由于该领域的多学科性质，在过去的 20 年中出现了一个多样化但没有分裂的网络科学社区。这篇论文通过探索这个社区的演变来表彰网络科学的贡献，从网络科学家不断增长的合着网络中可以看出（这里的概念是指至少有一篇论文引用了上述三篇里程碑论文中的至少一篇的学者） ）。在调查了 29,528 篇网络科学论文的各种特征后，我们构建了 52,406 名网络科学家的合着网络，并分析了其拓扑和动态。我们通过研究共同作者网络的众多结构特性并使用增强的数据可视化技术，阐明了过去 20 年网络科学的协作模式。我们还确定了最核心的作者，最大的社区，调查了时空变化，