Supplemental Materials for: Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations

The supplemental materials of the paper titled Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations, which was accepted for presentation at IEEE VIS 2022 conference. The structure of the folder is as follows: . └── code |── NetworkGeneration # the R code to generate the network data |── NetworkVis # the code that used to generate the visual stimuli |── BPStudy # the code to re-run the entire study |── BPStudy\stimuli # the visual stimuli used throughout the study └── StatisticalAnalysis # the code used to perform the statistical analysis └── data |── network_data # the network data files in json format └── stats_data # the raw data used for statistical analysis └── extra |── force-layout # The code and data for the force-layout experiment └── screen_shots.pdf # screenshots of study └── README.md # this file Please check the README.md file within each directory for further information on how to use/run the code.

该论文《基于二部图、节点-链接和矩阵的网络表示比较评估》的补充材料，该论文已被接受在IEEE VIS 2022会议上进行展示。文件夹结构如下所示：
└── code
│ ├── NetworkGeneration # 用于生成网络数据的 R 语言代码
│ ├── NetworkVis # 用于生成视觉刺激的代码
│ ├── BPStudy # 重新运行整个研究的代码
│ └── BPStudystimuli # 研究过程中使用的视觉刺激
└── StatisticalAnalysis # 执行统计分析所使用的代码
└── data
│ ├── network_data # 以 JSON 格式存储的网络数据文件
│ └── stats_data # 用于统计分析的原始数据
└── extra
│ ├── force-layout # 力导向实验的代码和数据
│ ├── screen_shots.pdf # 研究的截图
│ └── README.md # 该文件
请查阅每个目录中的README.md文件，以获取有关如何使用/运行代码的更多信息。