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[TheWebConf 2022] "Way back then": A Data-driven View of 25+ years of Web Evolution, The Web Conference (WebConf), 2022

License: Apache License 2.0

Python 100.00%
internetarchive webhistory wayback-machine archive-org datascience

wayback-web-history's Introduction

"Way back then": A Data-driven View of 25+ years of Web Evolution

Vibhor Agarwal and Nishanth Sastry, "Way back then": A Data-driven View of 25+ years of Web Evolution, The ACM Web Conference (TheWebConf), 2022.

Abstract

Since the inception of the first web page three decades back, the Web has evolved considerably, from static HTML pages in the beginning to the dynamic web pages of today, from text-only to more towards multimedia, etc. Although much of this is known anecdotally, to our knowledge, there is no quantitative documentation of the extent and timing of these changes. This paper attempts to address this gap in the literature by looking at the top 100 Alexa websites for over 25 years from the Internet Archive or the “Wayback Machine”, archive.org. We study the changes in popularity, from Geocities and Yahoo! in the mid-to-late 1990s to the likes of Google, Facebook, and Tiktok of today. We also look at different categories of websites and their popularity over the years, the emergence and relative prevalence of different mime-types (text vs. image vs. video vs. javascript and json) and study whether the use of text on the Internet is declining.

The paper PDF is available here!

Directory Structure

  • codes folder contains scraper for archive.org and other Python scripts used for analysis.
  • figures folder contains all the figures used in the WebConf paper.
  • google_trends_data folder contains the datasets downloaded from Google Trends.
  • wayback_datasets folder contains the data crawled from archive.org.
  • year_wise_top_websites folder contains the year-wise top 10 websites.
  • Alexa-Top-sites.csv contains top 100 websites collected from Alexa.com based on Alexa rankings in Nov 2021.

Citation

If you find this paper useful in your research, please consider citing:

@inproceedings{agarwal2022way,
  title={“Way back then”: A Data-driven View of 25+ years of Web Evolution},
  author={Agarwal, Vibhor and Sastry, Nishanth},
  booktitle={Proceedings of the ACM Web Conference 2022},
  pages={3471--3479},
  year={2022}
}

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