Human Activity (Covid and WFH)-related Datasets

This web page documents our datasets about detecting Human Activity (Covid and WFH). Our datasets are available upon request.

Relevant Publications

These datasets have been used in the following publications:

  • peer-reviewed IMC paper about detecting changes in human behavior [1]
  • peer-reviewed paper about visualizing Covid-WFH detection: [2]
  • technical report [3]
  • Xiao Song, Guillermo Baltra and John Heidemann 2023. Inferring Changes in Daily Human Activity from Internet Response. Proceedings of the ACM Internet Measurement Conference (Montreal, QC, Canada, Oct. 2023), to appear. [DOI] [PDF] [Dataset] Details
  • Erica Stutz, Yuri Pradkin, Xiao Song and John Heidemann 2021. Visualizing Internet Measurements of Covid-19 Work-from-Home. Proceedings of the National Symposium for NSF REU Research in Data Science, Systems, and Security (REU 2021 Symposium) (Virtual Workshop, Dec. 2021), 5633–5638. [DOI] [PDF] Details
  • Xiao Song and John Heidemann 2021. Measuring the Internet during Covid-19 to Evaluate Work-from-Home. Technical Report arXiv:2102.07433v4 [cs.NI]. USC/ISI. [PDF] Details

Relevant Datasets

These datasets pertain to the above publications.

Human Activity

We are planning to make the results of our WFH-related analysis here.

IP Accumulation Datasets

name shortname Start Date
ip_accumulation_a39all-20200101 2020q1 2020-01-01
ip_accumulation_a40all-20200401 2020q2 2020-04-01
ip_accumulation_a41all-20200701 2020q3 2020-07-01
ip_accumulation_a46all-20211001 2021q4 2021-11-01
ip_accumulation_a47all-20220101 2022q1 2021-01-01

Getting this data

For the detailed formats of each dataset, please refer to the corresponding README file at our dataset list page.