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TrajectoryVis: a visual approach to explore movement trajectories
Samiha Fadloun1, Yacine Morakeb1, Erick Cuenca2
1Laboratoire des Méthodes de Conception de Systèmes (LMCS), Ecole nationale Supérieure d'Informatique (ESI), BP 68M -16 270, Oued Smar, Alger, Algérie.
Social Network Analysis and Mining
|May 23, 2022
Summary
TrajectoryVis visualizes social network data, like Twitter trajectories, to compare information visualization methods. This tool aids in understanding user movement patterns and supports decision-making through effective data representation.
Area of Science:
- Computer Science
- Data Visualization
- Social Network Analysis
Background:
- Social networks are key for information exchange.
- Twitter data offers insights into user movement trajectories.
- Information Visualization (InfoVis) aids trajectory analysis.
Purpose of the Study:
- To introduce TrajectoryVis, a novel tool for visualizing social network trajectories.
- To compare and understand existing visual encoding methods in InfoVis.
- To demonstrate the utility of trajectory visualization for social network datasets.
Main Methods:
- Developed TrajectoryVis, a generic visualization tool.
- Implemented methods for visualizing individual and aggregated trajectories.
- Utilized diverse visual coding approaches for representation.
Main Results:
- TrajectoryVis effectively represents social network data, including Twitter.
- The tool facilitates comparison of different visual encoding strategies.
- User study and COVID-19 case study validated the approach's effectiveness.
Conclusions:
- TrajectoryVis enhances the understanding and comparison of trajectory visualization techniques.
- The tool provides a valuable method for analyzing movement patterns in social networks.
- Effective visualization of trajectories supports informed decision-making.
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