大数据时代，新兴前沿技术的迅猛发展对网络计量学提出了新的发展要求，文章在学科信息学的学科体系框架下提出了一个全新的概念——“网络信息学”。从网络信息学兴起的背景出发，概述了从网络计量学到网络信息学的发展过程；明确了网络信息学的概念内涵、数据基础以及关键理论方法技术；重点剖析了在网络信息学框架下，重要跨学科领域的知识发现、学术影响力与竞争力评价等四个方面的知识发现前沿与进展。并由此提出，网络信息学利用新兴前沿信息技术挖掘网络大数据以揭示有价值的知识，是网络大数据时代的网络数据挖掘与知识发现学科，也是网络信息研究新范式的支撑学科，但其发展也存在诸如网络大数据质量的控制、专门技术工具的发展等方面的关键问题。随着网络信息学的深入发展，未来网络大数据知识库、网络信息学专门技术工具及其应用领域都将得到蓬勃发展，网络信息学也或将成为学科信息学的领头学科。

In the big data era, the rapid development of new frontier technologies has put forward new requirements for the development of webometrics. So,we put forward a new concept here under the framework of the"subject-informatics"，which is"cyber-informatics". Starting from the background of the rise of cyber-informatics, this paper introduces the development process from webometrics to cyber-informatics. Secondly, the definition, data basis and key theories and methods of cyber-informatics are clarified. Finally, the research advances of knowledge discovery in interdisciplinary field, academic influence and competitiveness evaluation of cyber-informatics is analyzed.Cyber-informatics is a subject of network data mining and knowledge discovery in the era of network big data, and a supporting subject of the new paradigm of network information research. However, there are still some key problems, such as the quality control of big data and the development of specialized technical tools. With the further development of cyber-informatics, the knowledge base of network big data, the specialized technical tools of cyber-informatics and its application fields will be vigorously developed in the future.In addition cyber-informatics may become the leading subject of subject-informatics.