VR system for spatio-temporal visualization of tweet data

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

doi:10.1109/iV.2018.00026

VR system for spatio-temporal visualization of tweet data

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

Department of Human Centred Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

5 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 language	English
Title of host publication	International Conference on Information Visualisation 2018
Subtitle of host publication	Biomedical Visualization, Visualisation on Built and Rural Environments and Geometric Modelling and Imaging
Editors	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
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	91-95
Number of pages	5
ISBN (Electronic)	9781538672020
ISBN (Print)	9781538672037
DOIs	https://doi.org/10.1109/iV.2018.00026
Publication status	Published - 2018
Event	International Conference on Information Visualisation 2018 - Salerno, Italy Duration: 10 Jul 2018 → 13 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

Conference	International Conference on Information Visualisation 2018
Abbreviated title	IV 2018
Country/Territory	Italy
City	Salerno
Period	10/07/18 → 13/07/18
Internet address	https://web.unisa.it/unisa-rescue-page/dettaglio/id/202/module/87/row/1825/iv2018-22st-international-conference-on-information-visualisation

Keywords

immersive visualization
social media
temporal visualization
tweet data
virtual reality

Access to Document

10.1109/iV.2018.00026

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

Okada, Kaya ; Yoshida, Mitsuo ; Itoh, Takayuki et al. / 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",

note = "International Conference on Information Visualisation 2018, IV 2018 ; Conference date: 10-07-2018 Through 13-07-2018",

url = "https://web.unisa.it/unisa-rescue-page/dettaglio/id/202/module/87/row/1825/iv2018-22st-international-conference-on-information-visualisation",

}

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 et al.
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 proceeding › Conference Paper › Research › peer-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

N1 - Conference code: 22nd

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

AN - SCOPUS:85060157444

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

T2 - International Conference on Information Visualisation 2018

Y2 - 10 July 2018 through 13 July 2018

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 doi: 10.1109/iV.2018.00026

VR system for spatio-temporal visualization of tweet data

Abstract

Conference

Keywords

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