Resumé
| Originalsprog | Engelsk |
|---|---|
| Titel | Proceedings of the 2015 IEEE 19th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations (EDOCW 2015) |
| Redaktører | Sylvain Hallé, Wolfgang Mayer |
| Antal sider | 4 |
| Udgivelses sted | Los Alamitos, CA |
| Forlag | IEEE |
| Publikationsdato | 2015 |
| Sider | 148-151 |
| Artikelnummer | 7310685 |
| ISBN (Trykt) | 9781467393317 |
| ISBN (Elektronisk) | 9781467393317 |
| DOI | |
| Status | Udgivet - 2015 |
| Begivenhed | The 19th IEEE International Enterprise Distributed Object Computing Conference. EDOC 2015: The Enterprise Computing Conference - University of South Australia, Adelaide, Australien Varighed: 22 sep. 2015 → 25 sep. 2015 Konferencens nummer: 19 https://edoc2015.unisa.edu.au/ |
Konference
| Konference | The 19th IEEE International Enterprise Distributed Object Computing Conference. EDOC 2015 |
|---|---|
| Nummer | 19 |
| Lokation | University of South Australia |
| Land | Australien |
| By | Adelaide |
| Periode | 22/09/2015 → 25/09/2015 |
| Internetadresse |
Bibliografisk note
CBS Bibliotek har ikke adgang til materialetCiter dette
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Social Set Visualizer : Demonstration of Methodology and Software. / Flesch, Benjamin; Hussain, Abid; Vatrapu, Ravi.
Proceedings of the 2015 IEEE 19th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations (EDOCW 2015). red. / Sylvain Hallé; Wolfgang Mayer. Los Alamitos, CA : IEEE, 2015. s. 148-151 7310685.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
TY - GEN
T1 - Social Set Visualizer
T2 - Demonstration of Methodology and Software
AU - Flesch, Benjamin
AU - Hussain, Abid
AU - Vatrapu, Ravi
N1 - CBS Library does not have access to the material
PY - 2015
Y1 - 2015
N2 - This paper presents a state-of-the art visual analytics dash-board, Social Set Visualizer (SoSeVi), of approximately 90 million Facebook actions from 11 different companies that have been mentioned in the traditional media in relation to garment factory accidents in Bangladesh. The enterprise application domain for the dashboard is Corporate Social Responsibility (CSR) and the targeted end-users are CSR researchers and practitioners. The design of the dashboard was based on the "social set analytics" approach to computational social science. The development of the dash-board involved cutting-edge open source visual analytics libraries from D3.js and creation of new visualizations (ac-tor mobility across time, conversational comets etc). Evaluation of the dashboard consisting of technical testing, usability testing, and domain-specific testing with CSR students and yielded positive results.
AB - This paper presents a state-of-the art visual analytics dash-board, Social Set Visualizer (SoSeVi), of approximately 90 million Facebook actions from 11 different companies that have been mentioned in the traditional media in relation to garment factory accidents in Bangladesh. The enterprise application domain for the dashboard is Corporate Social Responsibility (CSR) and the targeted end-users are CSR researchers and practitioners. The design of the dashboard was based on the "social set analytics" approach to computational social science. The development of the dash-board involved cutting-edge open source visual analytics libraries from D3.js and creation of new visualizations (ac-tor mobility across time, conversational comets etc). Evaluation of the dashboard consisting of technical testing, usability testing, and domain-specific testing with CSR students and yielded positive results.
U2 - 10.1109/EDOCW.2015.18
DO - 10.1109/EDOCW.2015.18
M3 - Article in proceedings
SN - 9781467393317
SP - 148
EP - 151
BT - Proceedings of the 2015 IEEE 19th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations (EDOCW 2015)
A2 - Hallé, Sylvain
A2 - Mayer, Wolfgang
PB - IEEE
CY - Los Alamitos, CA
ER -