社交媒体
项目简介：社交媒体可视分析是实验室主要研究方向之一，近年来在可视化和人机交互顶级会议（IEEE VIS、ACM CSCW）和期刊（IEEE TVCG等）发表十余篇论文。例如，E-Map首次提出了地图隐喻的可视化方法分析社交媒体。Co-Bridges提出一种新颖文本可视化比较方法揭示两个社交媒体数据流之间的相似点和不同点。ContextWing提出了首个针对时变上下文序列的成对比较可视分析方法。
Project Introduction: Social media visual analytics is one of the main research directions of the laboratory. In recent years, more than ten papers have been published in top conferences (IEEE VIS, ACM CSCW) and journals (IEEE TVCG, etc.) on visualization and human-computer interaction. For example, E-Map is the first to propose a visual approach of map metaphor to analyze social media. Co-Bridges proposed a novel visual text comparison method to reveal the similarities and differences between two social media data streams. ContextWing proposes the first visual analytics method for pairwise comparisons of time-varying context sequences.
相关发表
  • ContextWing: Pair-wise Visual Comparison for Evolving Sequential Patterns of Contexts in Social Media Data Streams.
    Yuheng Zhao, Xinyu Wang, Chen Guo, Min Lu, Siming Chen*.
    The 25th ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW'23), Accepted, 2023.
  • DanmuVis: Visualizing Danmu Content Dynamics and Associated Viewer Behaviors in Online Videos.
    Shuai Chen, Sihang Li, Yanda Li, Junlin Zhu, Juanjuan Long, Siming Chen, Jiawan Zhang and Xiaoru Yuan.
    Computer Graphics Forum (EuroVis'22), 2022, Accepted.
    | Paper | pdf (6.0MB)
  • Co-Bridges: Pair-wise Visual Connection and Comparison for Multi-item Data Streams.
    Siming Chen, Natalia Andrienko, Gennady Andrienko, Jie Li, Xiaoru Yuan.
    IEEE Transactions on Visualization and Computer Graphics (VAST'20), 27(2): 1612-1622, 2021.
    | Paper | pdf (3.9MB) | Video | mp4 (26.9MB)
  • R-Map: A Map Metaphor for Visualizing Information Reposting Process in Social Media.
    Shuai Chen, Sihang Li, Siming Chen, Xiaoru Yuan.
    IEEE Transactions on Visualization and Computer Graphics (VAST'19), 26(1): 1204-1214, 2020.
    | Paper | pdf (2.1MB) | Video | mp4 (35.7MB) | Slides | pptx (53.3MB)
  • D-Map+: Interactive Visual Analysis and Exploration of Ego-centric and Event-centric Information Diffusion Patterns in Social Media.
    Siming Chen, Shuai Chen, Zhenhuang Wang, Jie Liang, Yadong Wu, Xiaoru Yuan.
    ACM Transactions on Intelligent Systems and Technology (TIST), 10(1): 11:1 - 11:26, 2018.
    | Paper | pdf (1.3M)
  • E-Map: A Visual Analytics Approach for Exploring Significant Event Evolutions in Social Media.
    Siming Chen, Shuai Chen, Lijing Lin, Xiaoru Yuan, Jie Liang, Xiaolong (Luke) Zhang.
    in Proceedings of IEEE Symposium on Visual Analytics Science and Technology (VAST'17), Pages 36 - 47, Phoenix, USA, Oct.1-6, 2017.
    | Paper | pdf (10.2MB) | Video | mp4 (23.4MB) | Slides | pptx (38MB)
  • Social Media Visual Analytics.
    Siming Chen, Lijing Lin, Xiaoru Yuan.
    Computer Graphics Forum (EuroVis State-of-the-Art Report'17), 36(3): 563-587, 2017.
    | Paper | pdf (24.6M) | Slides | pptx (80.1M)
  • D-Map: Visual Analysis of Ego-centric Information Diffusion Patterns in Social Media.
    Siming Chen, Shuai Chen, Zhenhuang Wang, Jie Liang, Xiaoru Yuan, Nan Cao, Yadong Wu.
    in Proceedings of IEEE Symposium on Visual Analytics Science and Technology (VAST'16), pages 41-50, Baltimore, USA, Oct. 23-28, 2016.
    | Paper | pdf (18MB) | Video | mp4 (16MB) | Slides | pptx (54.6MB)
  • Interactive Visual Discovering of Movement Patterns from Sparsely Sampled Geo-tagged Social Media Data.
    Siming Chen, Xiaoru Yuan, Zhenhuang Wang, Cong Guo, Jie Liang, Zuchao Wang, Xiaolong (Luke) Zhang and Jiawan Zhang.
    IEEE Transactions on Visualization and Computer Graphics (VAST'15), 22(1): 270-279,2016.
    | Paper | pdf (12.2MB) | Video | mp4 (37.8MB) | Slides | pptx (57.4MB)