Abstract
The popularity of social network has rapidly increased for many years. Social network continues to provide great functions to its user like sharing or diffusing the information on the social network. There are some interesting issues to the journalists are embedded inside the information diffusion. Therefore, we are encouraged to propose a visualization tool, “Shareflow”, which can be used to observe information sharing activities in the social network and to explore opinion leaders and the propagation path caused by the information diffusion. Our approach consists of two parts. The first part focuses on propagation path visualization for a single post in social media. The hierarchical edge bundles method is adopted to optimize the layout and reduce visual clutter caused by excessive information. The second part focuses on the visualization for a summary of posts, which provides a tool for analyzing active users through their sharing and comments activities. A real-time interactive interface that demonstrates concurrently the breadth and depth of information diffusion is also provided.
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Acknokledgement
This work is supported by the National Science Council, Taiwan under MOST 106-2221-E-004-010-MY2 and NCCU Aim for Top University Research Project 107H121-08.
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Hu, CC., Wei, HX., Chi, MT. (2019). Shareflow: A Visualization Tool for Information Diffusion in Social Media. In: Lee, S., Ismail, R., Choo, H. (eds) Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication (IMCOM) 2019. IMCOM 2019. Advances in Intelligent Systems and Computing, vol 935. Springer, Cham. https://doi.org/10.1007/978-3-030-19063-7_45
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DOI: https://doi.org/10.1007/978-3-030-19063-7_45
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