Temporal evolution of tagging subnetwork features and motif under different activity levels – take the Q&A community Zhihu as an example

This paper aims to study the characteristics and evolution rules of tagging knowledge network for users with different activity levels in question-and-answer (QA the Zhihu tags are divided into two categories for time slicing; and network indicators and network motifs are compared and analyzed. In addition, statistical tests, time series analysis and network modality theory are used to analyze the tags.