博客条目中观察到的宏观和微观统计特性
Macroscopic and microscopic statistical properties observed in blog entries
摘要：
我们观察到的统计特性的博客，预计将反映社会人类互动。首先，我们介绍了一个基本的规范化预处理，使我们能够评估真正的词频博客，是独立的外部因素，如垃圾博客，服务器故障，博客的人口增加，和定期每周的行为。经过这个过程，我们可以确认，小频率字显然遵循一个独立的泊松过程，理论上预期的。其次，我们关注每个博主的基本行为。研究发现，博客作者的行为有两种。此外，Zipf的词频定律被证实是普遍独立的个人活动类型。
英文摘要：
We observe the statistical properties of blogs that are expected to reflect social human interaction. Firstly, we introduce a basic normalization preprocess that enables us to evaluate the genuine word frequency in blogs that are independent of external factors such as spam blogs, server-breakdowns, increase in the population of bloggers, and periodic weekly behaviors. After this process, we can confirm that small frequency words clearly follow an independent Poisson process as theoretically expected. Secondly, we focus on each blogger's basic behaviors. It is found that there are two kinds of behaviors of bloggers. Further, Zipf's law on word frequency is confirmed to be universally independent of individual activity types.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
