What and Where Are We Tweeting About Black Friday?

Xinyue Ye, Bing She, Wenwen Li, Sonali Kudva, Samuel Benya

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations


Most studies on Black Friday have largely relied on survey or sales data from case studies of specific cities, which are lack of spatial-temporal granularity. The recent development of location-aware technologies has enabled what Goodchild described as “humans as sensors”, and as a result there has been a large volume of volunteered geographic information with explicitly spatial and temporal tags. Mining these rapidly growing and timely data in the context of space-time synthesis provides a new perspective for understanding the pulse of shopping behavior. In this chapter, we analyze Black Friday patterns and trends in the USA using a dataset retrieved from Twitter. A spatial-temporal analysis of tweeting patterns is conducted. This study tries to discern patterns of tweets on Black Friday in a comparative context.

Original languageEnglish (US)
Title of host publicationUrban and Regional Planning and Development
Subtitle of host publication20th Century Forms and 21st Century Transformations
PublisherSpringer International Publishing
Number of pages14
ISBN (Electronic)9783030317768
ISBN (Print)9783030317751
StatePublished - Jan 1 2020
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • General Environmental Science
  • General Economics, Econometrics and Finance
  • General Business, Management and Accounting
  • General Social Sciences


  • Black friday
  • Shopping behavior
  • Spatial-temporal data
  • Twitter
  • Volunteered geographic information


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