[Purpose/significance] Compared with traditional information behavior approaches, the research on information behavior based on the data-driven approach pays more attention to the externality and objectivity of data, and the testing results can be more comprehensive understanding of user information behavior characteristics.[Method/process] This paper realizes the collection of Wechat users' sharing and reading behavior records through a self-built APP, and systematically analyses the temporal characteristics of Wechat users' information behavior.[Result/conclusion] The results show that the daily information behavior of Wechat users has significant holiday effect, but there are a obvious fat-tail phenomenon and strong burstiness effect in the time interval distribution of information behavior, which indicate that the information behavior of Wechat users has high complexity and uncertainty, and can not effectively predict its generating process; on the other hand, when the contents shared by Wechat users have very strong time-effectiveness, the most contents can be timely disseminated in Wechat, but the length of the dissemination chain is significantly affected by the theme of the shared contents. This study provides a reference for revealing the complexity of human information behavior.
Zhang Dayong
,
Kong Hongxin
,
Xu Lei
,
Jing Dong
. Temporal Characteristics of Wechat Users' Information Behavior Based on Data-driven Approach[J]. Library and Information Service, 2019
, 63(20)
: 104
-111
.
DOI: 10.13266/j.issn.0252-3116.2019.20.012
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