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Understanding the time characteristic of user behavior on online forums

机译：了解在线论坛上用户行为的时间特征

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摘要

Quantitative understanding of people's behaviors on social networks has significant meaning to reveal the origins of many socioeconomic phenomena. This paper focuses on the time characteristic of human behavior online. Four famous web forums of China were analyzed, including Sina, NetEase, HuBeiDongHu and LiXiang. The empirical analysis result presents some statistical features on the behaviors of forum users. We found that the intervals of user's post and reply behaviors both follow heavy-tailed distribution and have high burstiness and low memory. But the day activities do not follow heavy-tailed distribution and the values concentrate between 10 and 100. Further, we studied the intra-day post and reply behaviors and showed that people's behaviors online have similar time characteristic with that of real life, and they submit obviously more posts and replies on work time and seldom do actions after midnight. The findings of this paper reveal some interesting features of human behaviors on online forums and are helpful to the behavior-based detection of spam and spammer.
机译：对人们在社交网络上的行为的量化理解对于揭示许多社会经济现象的起源具有重要意义。本文着重研究在线人类行为的时间特征。分析了中国的四个著名的网络论坛，分别是新浪，网易，湖北东湖和李翔。实证分析结果显示了论坛用户行为的一些统计特征。我们发现用户的发布和回复行为的时间间隔都遵循重尾分布，并且具有高突发性和低内存。但是白天的活动并没有遵循大量的尾部分布，其值集中在10到100之间。此外，我们研究了当日的发帖和回复行为，并发现人们在线上的行为具有与现实生活相似的时间特征，并且显然要提交更多的帖子并回复工作时间，午夜后很少做任何动作。本文的发现揭示了在线论坛上人类行为的一些有趣特征，并有助于基于行为的垃圾邮件和垃圾邮件发送者检测。

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