| id |
caadria2023_346 |
| authors |
Chang, Teng-Wen, Wu, Yi-Sin and Fang, Yu-Cyuan |
| year |
2023 |
| title |
Mining High-Impact Authors From CAADRIA Conferences Through Social Network Analysis and Information Visualization of the CAD Field |
| source |
Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 59–68 |
| doi |
https://doi.org/10.52842/conf.caadria.2023.2.059
|
| summary |
This study uses social network analysis (SNA) to explore the academic development of the CAADRIA research group, and evaluate their influence on the academic circle from a dynamic co-author publication network map. We use mediational centrality to reconstruct the WoCAD (Web of CAADRIA) ontology model, which is based on degree centrality, mediational centrality, and feature vector centrality. This model can help us find: (1) the most influential authors and works, (2) the main participants in the group, (3) the classification of academic researchers in the same group, and (4) the development context and trends of academic researchers, assisting organizers in investigating these academic contents. |
| keywords |
Information Visualization, Co-Authors Network, Social Network Analysis, System Design, CAD |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (805,674 bytes) |
| references |
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| last changed |
2023/06/15 23:14 |
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