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| Analysis of Users Passive Use Behavior Patterns on Social Network Platforms Based on Time Characteristics |
| Lu Xinyuan1,2, Huang Mengmei1,2, Lu Quan1,2, Wang Xuelin1,2 |
1.School of Information Management, Central China Normal University, Wuhan 430079
2.E-commerce Research Center of Hubei Province, Wuhan 430079 |
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Abstract This study considers the Zhihu platform and uses the Python software to obtain the data related to users information behaviors, such as publishing articles, answering questions, asking questions, and participating in live activities. The time characteristics, frequency, and time interval of users behaviors are then analyzed, and the time characteristics and rules of users negative behaviors on social network platforms are examined. The results show that some users may reduce their use behavior, intermittently drop out, or interrupt during their use of social network platforms, thereby presenting different degrees of negative behavior characteristics. For identifying users passive use behavior, obtaining an insight into the underlying causes and formulating targeted measures is necessary. This analysis can guide the users to continuously use the social network platforms.
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Received: 01 April 2019
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