Abstract: This paper analyzes the relationship between search engine hit counts and Wikipedia article views by evaluating the cross correlation between them. We observe the hit count estimates of three popular search engines over a month and compare them with the Wikipedia page views. The strongest cross correlations are recorded with their delays in days. We present the results in both graphs and quantitative data among different search engines. We also investigate the predicting trends between the hit counts and Wikipedia article traffic.

Tina Tian and Ankur Agrawal, “Quantifying the Relationship between Hit Count Estimates and Wikipedia Article Traffic” International Journal of Advanced Computer Science and Applications(ijacsa), 6(5), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060504

@article{Tian2015,
title = {Quantifying the Relationship between Hit Count Estimates and Wikipedia Article Traffic},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060504},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060504},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {5},
author = {Tina Tian and Ankur Agrawal}
}