Temporal statistical analysis on human article creation patterns
Na Li, Han Yan, Wen-Yao Zhang, Yu-Jian Li, Zhen-Dong Xi, Bing-Hong, Wang

TL;DR
This paper analyzes the timing patterns of article creation among four scientists, revealing that their creation intervals follow individual-specific power-law distributions rather than Poisson statistics, indicating diverse personal writing rhythms.
Contribution
It provides the first detailed statistical analysis of human article creation timing, demonstrating individual differences in creation patterns and challenging universal models.
Findings
Article creation intervals follow individual-specific power-law distributions.
All four studied authors deviate from Poisson statistics.
No universal pattern exists in human article creation timing.
Abstract
Inspired by previous works on human dynamics, we collect the temporal statistics of the article creation by three Western scientists and an Eastern writer. We investigate the distributions of the time intervals between the creations of every two consecutive articles. All four time distributions are found to be deviate from the Poisson statistics, and show an approximate power-law distribution. The power-law exponents are different with respect to individual, indicating that there is no universally shared article creation pattern.
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Taxonomy
TopicsOpinion Dynamics and Social Influence · Complex Network Analysis Techniques · Human Mobility and Location-Based Analysis
