李凯凯, 宋礼鹏. 基于社交网络的用户行为记忆性研究[J]. 微电子学与计算机, 2017, 34(3): 133-135, 140.
引用本文: 李凯凯, 宋礼鹏. 基于社交网络的用户行为记忆性研究[J]. 微电子学与计算机, 2017, 34(3): 133-135, 140.
LI Kai-kai, SONG Li-peng. The Memory Effect Based on Online Users Behavior of Social Network[J]. Microelectronics & Computer, 2017, 34(3): 133-135, 140.
Citation: LI Kai-kai, SONG Li-peng. The Memory Effect Based on Online Users Behavior of Social Network[J]. Microelectronics & Computer, 2017, 34(3): 133-135, 140.

基于社交网络的用户行为记忆性研究

The Memory Effect Based on Online Users Behavior of Social Network

  • 摘要: 为了研究用户访问社交网络时的记忆效应, 分析了某高校师生用户对QQ空间和新浪微博这两个目前较主流的社交平台的访问记录, 采用自相关函数来量化记忆性, 发现在阵发周期内, 个体用户和群体用户的行为数都服从幂律分布, 因此, 记忆性取决于同一阵发周期内相邻时间间隔的关联性, 并从相邻时间间隔相关性的角度分析了用户在线行为的记忆性.研究结果表明, 在同一个阵发周期内用户在线行为相邻时间间隔的比率为双帕累托分布, 用户根据该比值的大小来增加或减少之后的登陆频率, 实证数据研究与理论分析相吻合, 证实了时间间隔中记忆性的存在.

     

    Abstract: To research the influence of memory effect on online uses' behavior based on social network, the paper studied the records of some university users' access to social network and used the auto-correlation coefficient method to quantify the memory effect. Empirical research shows that the number of events obeys power-law distribution in the individual and group level. Therefore, the memory effect depends on the adjacent time interval. The continuous time interval less than some threshold are defined as burst periods. The result shows that the ratio of two adjacent time interval in a same active period shows the double Pareto distribution. According to the ratio, users increase or decrease the frequency of landing. The empirical data is consistent with the theoretical analysis. Thus, it is proved that there exists memory in the time interval.

     

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