摘要
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 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.
作者
卢新元
黄梦梅
卢泉
王雪霖
Lu Xinyuan;Huang Mengmei;Lu Quan;Wang Xuelin(School of Information Management,Central China Normal University,Wuhan 430079;E-commerce Research Center of Hubei Province,Wuhan 430079)
出处
《情报学报》
CSSCI
CSCD
北大核心
2020年第4期419-426,共8页
Journal of the China Society for Scientific and Technical Information
基金
国家社会科学基金项目“用户消极使用行为对社交网络平台的作用机理及管理策略研究”(19BGL267)。
关键词
消极使用行为
用户信息行为
时间特征
社交网络平台
passive use behavior
users information behavior
time characteristics
social network platform
