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WEEK2-Gephi1

  • 作家相片: SIYUAN SHI
    SIYUAN SHI
  • 2024年1月24日
  • 讀畢需時 2 分鐘

已更新:2024年5月23日

Software skills acquisition - Gephi

On-class stuff


Gephi is an open-source network visualization and analysis software used for exploring and understanding complex networks. It is widely used in various fields such as social network analysis, biology, and information technology. Here are some key features and aspects of Gephi:


1. Visualization: Gephi provides powerful tools for visualizing networks, allowing users to interact with and manipulate the visual representation of their data. It supports various layouts and can handle large graphs with thousands of nodes and edges.


2. Analysis: Gephi offers a range of analytical tools to study network structures, such as calculating network statistics (e.g., degree distribution, clustering coefficient), identifying communities, and detecting patterns.


The figure below shows the results of the latest version of Gephi, which is currently version 10.2, and lists a relational map of road construction projects invested by the Asian Development Bank in Yunnan from 1990-2015.



What you can achieve with Gephi?

Gephi is free to use, its community is more powerful, but the downside is that its plug-ins are not adapted to each version, which means that all official plug-ins have a corresponding version that runs smoothly. Unfortunately, you can download the source code of the plugin through Github and then modify it to meet your own needs. Next, I will introduce the features of each version of Gephi.



Earlier versions of Gephi allowed you to adjust the edge labels to be parallel to the edges in the layout page, which made it beneficial to distinguish between edge labels and node labels when a large amount of data existed. In addition you can also export Svg or Pdf files and use Grasshopper in Rhino to make adjustments to the edge labels, such as reading the slope of the edge to rotate it by the appropriate angle.


The following is an example of the use of the inside must pay attention to is the structure of the data, GH in the organization of the data has a variety of structures, before and after the input is consistent in order to ensure effective operation.



After application,



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