VR system for spatio-temporal visualization of tweet data

Kaya Okada, Mitsuo Yoshida, Takayuki Itoh, Tobias Czauderna, Kingsley Stephens

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

2 Citations (Scopus)

Abstract

Social media analysis is helpful to understand the behavior of people. Human behavior in social media is related to time and location, which is often difficult to understand the characteristics appropriately and quickly. We chose to apply virtual reality technologies to visualize the spatio-Temporal social media data. This makes us easier to develop interactive and intuitive user interfaces and explore the data as we want. This paper presents our visualization of tweets of microblogs with location information. Our system features a three-dimensional temporal visualization which consists of the two-dimensional map and a time axis. In particular, we aggregate the number of tweets of each coordinate and time step, calculate scores and display them as piled cubes. We highlight only specific cubes so that users can understand the overall tendency of datasets. We also developed user interfaces for operating these cubes and panels which indicate details of tweets.

Original languageEnglish
Title of host publicationInternational Conference on Information Visualisation 2018
Subtitle of host publicationBiomedical Visualization, Visualisation on Built and Rural Environments and Geometric Modelling and Imaging
EditorsEbad Banissi, Rita Francese, Mark W. McK. Bannatyne, Theodor G. Wyeld, Muhammad Sarfraz, João Moura Pires, Anna Ursyn, Fatma Bouali, Nuno Datia, Gilles Venturini, Giuseppe Polese, Vincenzo Deufemia, Tania Di Mascio, Marco Temperini, Filippo Sciarrone, Delfina Malandrino, Rocco Zaccagnino, Paloma Díaz, Fragkiskos Papadopoulo, Antonio Fernandez Anta, Alfredo Cuzzocrea, Michele Risi, Ugo Erra, Veronica Rossano
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages91-95
Number of pages5
ISBN (Electronic)9781538672020
ISBN (Print)9781538672037
DOIs
Publication statusPublished - 2018
EventInternational Conference on Information Visualisation 2018: Biomedical Visualization, Visualisation on Built and Rural Environments and Geometric Modelling and Imaging - Salerno, Italy
Duration: 10 Jul 201813 Jul 2018
Conference number: 22nd
https://web.unisa.it/unisa-rescue-page/dettaglio/id/202/module/87/row/1825/iv2018-22st-international-conference-on-information-visualisation

Conference

ConferenceInternational Conference on Information Visualisation 2018
Abbreviated titleIV 2018
CountryItaly
CitySalerno
Period10/07/1813/07/18
Internet address

Keywords

  • immersive visualization
  • social media
  • temporal visualization
  • tweet data
  • virtual reality

Cite this

Okada, K., Yoshida, M., Itoh, T., Czauderna, T., & Stephens, K. (2018). VR system for spatio-temporal visualization of tweet data. In E. Banissi, R. Francese, M. W. McK. Bannatyne, T. G. Wyeld, M. Sarfraz, J. Moura Pires, A. Ursyn, F. Bouali, N. Datia, G. Venturini, G. Polese, V. Deufemia, T. Di Mascio, M. Temperini, F. Sciarrone, D. Malandrino, R. Zaccagnino, P. Díaz, F. Papadopoulo, A. Fernandez Anta, A. Cuzzocrea, M. Risi, U. Erra, ... V. Rossano (Eds.), International Conference on Information Visualisation 2018: Biomedical Visualization, Visualisation on Built and Rural Environments and Geometric Modelling and Imaging (pp. 91-95). [8564144] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/iV.2018.00026