Supporting Story Synthesis: Bridging the Gap between Visual Analytics and Storytelling
- Submitting institution
-
City, University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 803
- Type
- D - Journal article
- DOI
-
10.1109/TVCG.2018.2889054
- Title of journal
- IEEE Transactions on Visualization and Computer Graphics
- Article number
- -
- First page
- 2499
- Volume
- 26
- Issue
- 7
- ISSN
- 1077-2626
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
https://ieeexplore.ieee.org/ielx7/2945/9103189/8585048/final_tvcg_gap3.mp4?tp=&arnumber=8585048
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
6
- Research group(s)
-
-
- Citation count
- 12
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in the most important journal in its domain and presented at IEEE VIS (A CORE, 25% acceptance rate), this output is the first systematic approach to bridging analytical analysis and storytelling through a semi-automated process. Carried out with researchers from Fraunhofer Institute IAIS, Tianjin University and Microsoft Research Asia. Supported by EC H2020 projects (DiSIEM, 700692 and SoBigData, 654024), two NSFC projects (61602340, 61572348) and DFG (SPP 1894). Supported the UKRI Visualising Contact Networks in Response to COVID-19 proposal (EP/V033670/1).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
