Research Article
Exploring Users’ Temporal Characteristics of “Purchase and Comment” Behaviors Based on Human Dynamics
@INPROCEEDINGS{10.1007/978-3-030-72795-6_35, author={Liangqiang Li and Bo Lv and Liang Wu and Hongwei Lin}, title={Exploring Users’ Temporal Characteristics of “Purchase and Comment” Behaviors Based on Human Dynamics}, proceedings={Simulation Tools and Techniques. 12th EAI International Conference, SIMUtools 2020, Guiyang, China, August 28-29, 2020, Proceedings, Part II}, proceedings_a={SIMUTOOLS PART 2}, year={2021}, month={4}, keywords={Online comments Human dynamics Temporal characteristics Purchase-comment time interval}, doi={10.1007/978-3-030-72795-6_35} }- Liangqiang Li
Bo Lv
Liang Wu
Hongwei Lin
Year: 2021
Exploring Users’ Temporal Characteristics of “Purchase and Comment” Behaviors Based on Human Dynamics
SIMUTOOLS PART 2
Springer
DOI: 10.1007/978-3-030-72795-6_35
Abstract
This paper carried out an empirical study on the formation rules underlying online user comments. Using the human dynamics method, which is used for describing human behavior, this paper explored two typical consumer human behaviors related to “purchase-comment” behaviors within an electronic commerce environment. Using massive real data crawled by Python web crawler, this paper analyzes three types of temporal characteristics (time interval, burstiness index, and memory index) of post-purchase comments by users, explores when consumers choose to disclose their shopping experiences on the Internet after purchase, and studies the formation rules of online user comments. The study also verified that the temporal characteristics of consumers’ “purchase-comment” behaviors in the e-commerce environment also conformed to power-law distribution principles, thus providing new empirical insights for the study of online human behavior dynamics.
