EasyGraph is an open-source toolbox for network analysis based on the Python language, developed by DataNet team at Fudan University. It is the first open-source library that includes a comprehensive set of methods for detecting structural hole spanners, while also covering network embedding and various traditional network analysis techniques. EasyGraph supports multiple types of network data with excellent compatibility. Additionally, it leverages hybrid programming and parallel computing to enhance the efficiency of most classic network analysis algorithms.
This article will introduce the process of measuring classic indicators of structural holes, such as effective size, efficiency, constraint, and hierarchy through EasyGraph.
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