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

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] Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/iV.2018.00026
Okada, Kaya ; Yoshida, Mitsuo ; Itoh, Takayuki ; Czauderna, Tobias ; Stephens, Kingsley. / VR system for spatio-temporal visualization of tweet data. International Conference on Information Visualisation 2018: Biomedical Visualization, Visualisation on Built and Rural Environments and Geometric Modelling and Imaging. editor / Ebad 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. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2018. pp. 91-95
@inproceedings{d8c476a3b9064408a57fc86063bb7cf0,
title = "VR system for spatio-temporal visualization of tweet data",
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.",
keywords = "immersive visualization, social media, temporal visualization, tweet data, virtual reality",
author = "Kaya Okada and Mitsuo Yoshida and Takayuki Itoh and Tobias Czauderna and Kingsley Stephens",
year = "2018",
doi = "10.1109/iV.2018.00026",
language = "English",
isbn = "9781538672037",
pages = "91--95",
editor = "Ebad Banissi and Francese, {Rita } and {W. McK. Bannatyne}, {Mark } and {G. Wyeld}, Theodor and Sarfraz, {Muhammad } and {Moura Pires}, {Jo{\~a}o } and Ursyn, {Anna } and Bouali, {Fatma } and Datia, {Nuno } and Venturini, {Gilles } and Polese, {Giuseppe } and Deufemia, {Vincenzo } and {Di Mascio}, {Tania } and Temperini, {Marco } and Sciarrone, {Filippo } and Malandrino, {Delfina } and Zaccagnino, {Rocco } and D{\'i}az, {Paloma } and Papadopoulo, {Fragkiskos } and {Fernandez Anta}, {Antonio } and Alfredo Cuzzocrea and Risi, {Michele } and Erra, {Ugo } and Veronica Rossano",
booktitle = "International Conference on Information Visualisation 2018",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
address = "United States of America",

}

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., 8564144, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 91-95, International Conference on Information Visualisation 2018, Salerno, Italy, 10/07/18. https://doi.org/10.1109/iV.2018.00026

VR system for spatio-temporal visualization of tweet data. / Okada, Kaya; Yoshida, Mitsuo; Itoh, Takayuki; Czauderna, Tobias; Stephens, Kingsley.

International Conference on Information Visualisation 2018: Biomedical Visualization, Visualisation on Built and Rural Environments and Geometric Modelling and Imaging. ed. / Ebad 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. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2018. p. 91-95 8564144.

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

TY - GEN

T1 - VR system for spatio-temporal visualization of tweet data

AU - Okada, Kaya

AU - Yoshida, Mitsuo

AU - Itoh, Takayuki

AU - Czauderna, Tobias

AU - Stephens, Kingsley

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - immersive visualization

KW - social media

KW - temporal visualization

KW - tweet data

KW - virtual reality

UR - http://www.scopus.com/inward/record.url?scp=85060157444&partnerID=8YFLogxK

U2 - 10.1109/iV.2018.00026

DO - 10.1109/iV.2018.00026

M3 - Conference Paper

SN - 9781538672037

SP - 91

EP - 95

BT - International Conference on Information Visualisation 2018

A2 - Banissi, Ebad

A2 - Francese, Rita

A2 - W. McK. Bannatyne, Mark

A2 - G. Wyeld, Theodor

A2 - Sarfraz, Muhammad

A2 - Moura Pires, João

A2 - Ursyn, Anna

A2 - Bouali, Fatma

A2 - Datia, Nuno

A2 - Venturini, Gilles

A2 - Polese, Giuseppe

A2 - Deufemia, Vincenzo

A2 - Di Mascio, Tania

A2 - Temperini, Marco

A2 - Sciarrone, Filippo

A2 - Malandrino, Delfina

A2 - Zaccagnino, Rocco

A2 - Díaz, Paloma

A2 - Papadopoulo, Fragkiskos

A2 - Fernandez Anta, Antonio

A2 - Cuzzocrea, Alfredo

A2 - Risi, Michele

A2 - Erra, Ugo

A2 - Rossano, Veronica

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

ER -

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