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Metrics

Any information found on Location Based Social Networks (LBSN) can become the context of a visual analytics question - which can be called a measurement, metric, or overlay (Dunkel et al. 1).

From a user privacy perspective, some metrics are more problematic than others. As a means to systematically organize various visual analytic questions, a task matrix has been proposed by Dunkel et al. 1.

Typical metrics (overlays) in visual analytics include:

  • postcount: The number of posts for a particular context ("PC")
  • usercount: The number of users for a particular context ("UC")
  • userdays: The number of cumulative distinct user count per day for a particular context ("PUD", as coined by Wood et al. 2)

These metrics are considered in the implementation of the LBSN HLL Structure.

  1. Dunkel, A., Andrienko, G., Andrienko, N., Burghardt, D., Hauthal, E., & Purves, R. (2018). A conceptual framework for studying collective reactions to events in location-based social media. International Journal of Geographical Information Science, 33(4), 780--804. https://doi.org/10.1080/13658816.2018.1546390 ::: ↩↩

  2. Wood, S. A., Guerry, A. D., Silver, J. M., & Lacayo, M. (2013). Using social media to quantify nature-based tourism and recreation. Scientific Reports, 3(1), 2976. https://doi.org/10.1038/srep02976 ::: ↩

Last update: April 14, 2021
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