Weaving the Topics of CHI
| Autor: | Clement M. Lee, Dan Jackson, Bingzhang Hu, Junyan Wang, Andrew Garbett |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Structure (mathematical logic)
Topic model Citation network Citation network analysis Computer science 05 social sciences 020207 software engineering 02 engineering and technology Bibliometrics Data science Visualization 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences Weaving Social network analysis 050107 human factors |
| Zdroj: | CHI Extended Abstracts |
| DOI: | 10.1145/3290607.3312776 |
| Popis: | This paper provides a comprehensive and novel analysis of the annual conference proceedings of CHI to explore the structure and evolution of the community. Self-awareness is healthy for a diverse and dynamic community, allowing it to anticipate and respond to emerging themes. Instead of using a traditional topic modelling approach to analyze the text of the papers, we adopt a social network analysis approach by analyzing the citation network of papers. After constructing such a citation network, community detection is applied in order to cluster papers into different groups. The keywords of these groups are found to represent different research themes in human-computer interaction, while the growth or decline of these groups is visualized by their paper shares over time. Lastly, we contribute a visualization tool for exploring emerging trends within our community, which can be used to predict likely topics at future CHI conferences. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|