Conference proceeding
Spatiotemporal Analytics of Topic Trajectory
Proceedings of the 9th International Symposium on visual information communication and interaction, pp 112-116
24 Sep 2016
Abstract
Spatially and temporally relevant text data generated on the Internet by users worldwide is of great value for investigating and understanding emerging trends of user interests and how they may evolve over time and space. However, exploring the spatiotemporal text data and characterizing the evolution of topics over time and space are challenging due to the complexity of such data and associated activities. This paper proposes a new approach to exploring the spatiotemporal text data with visual filters. We introduce a notion of topic trajectory to depict the spatiotemporal evolution of topics. Multiple coordinated visualizations provided in our visualization system enable users to explore topic trajectories and develop their contextual awareness in terms of how information flows across different regions. We demonstrate the use of our system with an analysis of a dataset contributed by users of widely used science mapping software CiteSpace.
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17 Record Views
5 citations in Scopus
Details
- Title
- Spatiotemporal Analytics of Topic Trajectory
- Creators
- Jiangen He - Drexel UniversityChaomei Chen - Drexel UniversityJialuo He - Civil, Architectural, and Environmental Engineering
- Publication Details
- Proceedings of the 9th International Symposium on visual information communication and interaction, pp 112-116
- Conference
- 9th International Symposium on visual information communication and interaction, 9th
- Series
- VINCI '16
- Publisher
- Association for Computing Machinery (ACM)
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science; Civil, Architectural, and Environmental Engineering
- Scopus ID
- 2-s2.0-85011005011
- Other Identifier
- 991019173566804721