Journal of Student Research (High School Edition) 10(3).
ISSN/ISBN: 2167-1907 DOI: 10.47611/jsrhs.v10i3.1677
Abstract: In this study, we used social media data to investigate Benford’s Law. In our experimental analysis, we used three control variables: Total Subscriptions, Total Views, and Video Uploads of Youtube channels to verify if the data is artificial and whether or not it fits Benford’s Law. We noticed how Total Subscriptions does not fit Benford’s Law for the top 5000 most-subscribed channels, and Total Views doesn’t fit for the top 5000 most-viewed channels. The reasons that cause this difference are further investigated in this paper. We also proposed a mathematical model to verify if other datasets fit Benford’s Law. After curve fitting the experimental data, results revealed that closer a and b values in our mathematical model indicate that a dataset fits Benford’s Law.
Bibtex:
@article{ },
title={Investigation of Benford’s Law with YouTube Social Media Statistics},
url={https://jsr.org/hs/index.php/path/article/view/1677},
doi={10.47611/jsrhs.v10i3.1677},
volume={10},
journal={Journal of Student Research},
number={3},
author={Chen, Chi-Wei and Yu, Shao-Yu and Chen, Hsin-Yi},
year={2021},
}
Reference Type: Journal Article
Subject Area(s): General Interest, Social Sciences