Abstract: 【Purpose/significance】Build a quantitative model of microblog post-comment behavior based on objective behavior data to
explain and verify the information interaction relationship of social network users and provide basis for microblog service optimization.
【Method/process】Taking Sina microblog as the research object, this paper analyzes five important indicators that reveal the character? istics of post-comment behavior in the many to many mode of microblog group level, constructs a quantitative model to describe the post-comment behavior in the many to many mode of microblog, and verifies the effectiveness of the model through simulation【. Result/conclusion】The frequency distribution of microblog comments meets the power-law distribution with a power index of 1.6659; The number of comments received by microblog, microblog influence and information visibility are the connection mechanisms that affect new comments. The quantitative model constructed in this paper can better simulate the real microblog post-comment behavior.【Inno? vation/limitation】From the perspective of human dynamics, this paper explains the process of microblog post-comment behavior in the mode of many to many, and reveals the generation mechanism of post-comment behavior at the group level. This paper does not
distinguish the comment behavior of different types of microblogs. In the future research, we will further explore the comment behavior
of different types of microblogs.