20世纪末，三篇现代网络科学的创世论文引起了物理学家，计算机科学家和应用数学家的广泛关注.这三篇论文分别是 Watts和Strogatz [1]的“小世界网络”，Barabasi和Albert [2]的优先链接的"无标度网络"以及Google创始人Brin和Page [3]的 “PageRank” 。他们表明，简单模型可以重现网络结构中观察到的大部分复杂性，并且网络结构与其功能相关联。在过去的二十年里，我们对网络有什么了解？网络结构如何影响其功能？我们如何代表网络，预测和控制他们的行为？网络如何发展变化？我们理解的局限是什么，最后，网络科学中哪些重要的开放性问题？
On the eve of 20th century, three papers launched the modern Network Science by bringing it to the attention of a wider community of physicists, computer scientists and applied mathematicians. The papers - by Watts and Strogatz [1], Barabasi and Albert [2], and Google founders Brin and Page [3] - introduced “small world networks”, “preferential attachment,” and “PageRank” into the vernacular of network scientists. They showed that simple models could reproduce much of the complexity observed in network structure and that the structure of networks was linked to their function. As we mark the 20th anniversary of the publication of these seminal works, it is time to reflect on the state of Network Science and where the field is headed. What have we learned about networks over the past two decades? How does network structure affect its function? How do we represent networks, predict and control their behavior? How do networks grow and change? What are the limits of our understanding, and finally, what are the important open problems in network science?
https://royalsocietypublishing.org/rspa/network-science
