Peer Review #1 of "SocioPedia+: a visual analytics system for social knowledge graph-based event exploration (v0.1)"
2023
In the recent era of information explosion, exploring event from social networks has recently been a crucial task for many applications.To derive valuable comprehensive and thorough insights on social events, Visual Analytics (VA) system have been broadly used as a promising solution.However, due to the enormous social data volume with highly diversity and complexity as well as the lack of multi-perspective analysis, number of event exploration tasks which can be enabled in a conventional real-time visual analytics systems has been limited.As such, to the date, there is no VA system can efficiently perform full required tasks of VA and event exploration.In this work, we propose to utilize social knowledge graph analysis as a new dimension in VA system multivariate analysis for enhancing event exploration process.Based on such key technique, we proposed and constructed SocioPedia+, a real-time visual analytics system for social event exploration in time and space domains.Owing to the valuable and highly structure information provided by social knowledge analysis, SocioPedia+ is able to performing full required tasks of visual analytics and social event explorations.Furthermore, SocioPedia+ has been optimized for visualizing event analysis on different levels from macroscopic (events level) to microscopic (knowledge level).The system is then implemented and investigated with a detailed case study for evaluating its usefulness and visualization effectiveness for the application of event explorations.13 14 15 16 17 18 19 20 21 22 23 24 25 26 27To the date, a vast of exploration tasks have been reported and constructed in several VA systems.The main tasks can be categorized into event identification, evolution analysis, comparison analysis, diffusing, and causality analysis.Nevertheless, it should be noted that although there are diverse of reported VA