Abstract
This paper reports the second iteration of the Social Set Visualizer (SoSeVi), a set theoretical visual analytics dashboard of big social data. In order to further demonstrate its usefulness in large-scale visual analytics tasks of individual and collective behavior of actors in social networks, the current iteration of the Social Set Visualizer (SoSeVi) in version II builds on recent advancements in visualizing set intersections. The development of the SoSeVi dashboard involved cutting-edge open source visual analytics libraries (D3.js) and creation of new visualizations such as of actor mobility across time and space, conversational comets, and more. SoSeVi II introduces means of real-time migration visualization between social sets.
Originalsprog | Engelsk |
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Titel | 2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW 2016) |
Redaktører | Stefanie Rinderle-Ma, Luis Ferreira Pires, Remco Dijkman |
Antal sider | 4 |
Udgivelsessted | Los Alamitos, CA |
Forlag | IEEE |
Publikationsdato | 2016 |
Sider | 332-335 |
Artikelnummer | 7584388 |
ISBN (Trykt) | 9781467399340 |
ISBN (Elektronisk) | 9781467399333 |
DOI | |
Status | Udgivet - 2016 |
Begivenhed | The 20th IEEE International Enterprise Distributed Object Computing. EDOC 2016: Enabling Innovative Business Models in the Enterprise of the Future - Vienna , Østrig Varighed: 5 sep. 2016 → 9 sep. 2016 Konferencens nummer: 20 http://edoc2016.univie.ac.at/ |
Konference
Konference | The 20th IEEE International Enterprise Distributed Object Computing. EDOC 2016 |
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Nummer | 20 |
Land/Område | Østrig |
By | Vienna |
Periode | 05/09/2016 → 09/09/2016 |
Internetadresse |
Navn | Proceedings of the Enterprise Distributed Object Computing Conference Workshops. EDOCW |
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Vol/bind | 2016 |
ISSN | 2325-6583 |
Emneord
- Big data analytics
- Big social data
- Computational set analysis
- Event studies
- Social set analysis
- Visual analytics