期刊论文

Analysis of Users' Passive Use Behavior Patterns on Social Network Platforms Based on Time Characteristics

中文

情报学报

1000-0135

2020

39

4

419-426

10.3772/j.issn.1000-0135.2020.04.008

国家社会科学基金项目(19BGL267)

本校为第一机构

本文选取知乎平台,采用Python技术获得用户信息行为中发表文章、回答问题、提问和参与live活动的使用行为数据,进行了使用时间特征、使用频次和时间间隔分析,探索用户在使用社交网络平台中产生消极行为的时间特征及规律。结果表明,部分用户在使用社交网络平台过程中会出现减少使用、间歇性中辍和中断等使用行为,呈现不同程度的消极行为特征。对于用户的消极使用行为,需要洞察背后的深层次原因并制定针对性的措施,引导用户继续使用和深度创作。

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 prese...