A comparative temporal analysis of user-content-interaction in social media

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

How long does content published via online social networks and media receive attention? We derive a novel definition of content lifetime from the temporal distribution of user-content interactions and apply it to a comparative study of multiple traditional and modern online social media. This characterization of lifetime is not only relevant for learning about human behavior on social media; when designing an experiment on social media data that involves temporal quantization, it can assist in making a principled choice of interval size. We find that across all media, interactions take place on four main time scales: short term activity of at most 15 minutes, medium term activity in the range of one hour and two days, respectively, and long term activity of two weeks or more.

Original languageEnglish
Title of host publicationSIdEWayS 2019 - Proceedings of the 5th International Workshop on Social Media World Sensors
PublisherAssociation for Computing Machinery, Inc
Pages7-12
Number of pages6
ISBN (Electronic)9781450369039
DOIs
StatePublished - 12 Sep 2019
Event5th ACM International Workshop on Social Media World Sensors, SIdEWayS 2019, in conjunction with the 30th ACM Conference on Hypertext and Social Media, HT 2019 - Hof, Germany
Duration: 17 Sep 2019 → …

Publication series

NameSIdEWayS 2019 - Proceedings of the 5th International Workshop on Social Media World Sensors

Conference

Conference5th ACM International Workshop on Social Media World Sensors, SIdEWayS 2019, in conjunction with the 30th ACM Conference on Hypertext and Social Media, HT 2019
Country/TerritoryGermany
CityHof
Period17/09/19 → …

Keywords

  • Social media
  • Social networking services
  • Temporal dynamics

Fingerprint

Dive into the research topics of 'A comparative temporal analysis of user-content-interaction in social media'. Together they form a unique fingerprint.

Cite this