Social media users are becoming more active by the day. Tracking their temporal activity patterns along time demands high processing and large storage volume. Analyzing and understanding both the global activity characteristics and personal activity patterns for different users is challenging. We examine here a visualization method that draws a snapshot of the temporal activity, specifically of content generated by users. Our visualization enables comparisons between sites and within site activities for different periods, while giving both a global and a comparative personal view in a single snapshot. This inner comparative view also highlights irregular activities. We demonstrate our findings with three different social media datasets obtained from Amazon, IMDb and Twitter.
|Title of host publication||IUI 2018 - Companion of the 23rd International Conference on Intelligent User Interfaces|
|Publisher||Association for Computing Machinery|
|State||Published - 5 Mar 2018|
|Event||23rd International Conference on Intelligent User Interfaces, IUI 2018 - Tokyo, Japan|
Duration: 7 Mar 2018 → 11 Mar 2018
|Name||International Conference on Intelligent User Interfaces, Proceedings IUI|
|Conference||23rd International Conference on Intelligent User Interfaces, IUI 2018|
|Period||7/03/18 → 11/03/18|
Bibliographical notePublisher Copyright:
© 2018 Copyright is held by the owner/author(s).
- Social media
- Temporal activity
ASJC Scopus subject areas
- Human-Computer Interaction