Abstract: Under the big data environment, with the promulgation and implementation of the public library law, the study of library self-discipline norms is an important support for the development of library digitalization and the rule of law management. In this paper, statistical knowledge is used to make statistical analysis and trend prediction of the time, author and organization of the literature, VOSviewer visual analysis software is used to explore the hot spots and evolution path of the literature research, and word frequency analysis of the literature abstract is used to clarify the theme of the study. The results show that the research on library self-discipline norms in China can be roughly summarized into seven research topics: library industry self-discipline, library rights, librarian's professional ethics, reader self-discipline, intellectual property rights, privacy rights and supervision system. By reviewing and summarizing the literature on library self-discipline norms, this paper reveals the current situation of library self-discipline norms research in China, grasps the context of development and explores research hotspots with time series as a guide, with a view to providing reference for future library self-discipline norms research.

Key words: self-regulatory norms, research hotspots, knowledge map, visualization