Search results for "Backbone Filtering Techniques"

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Filtering Real World Networks: A Correlation Analysis of Statistical Backbone Techniques

2023

Networks are an invaluable tool for representing and understanding complex systems. They offer a wide range of applications, including identifying crucial nodes, uncovering communities, and exploring network formation. However, when dealing with large networks, the computational challenge can be overwhelming. Fortunately, researchers have developed several techniques to address this issue by reducing network size while preserving its fundamental properties [1-9]. To achieve this goal, two main approaches have emerged: structural and statistical methods. Structural methods aim to keep a set of topological features of the network while reducing its size. In contrast, statistical methods elimi…

Graph SummarizationSparsificationBackbone Filtering TechniquesNetwork Compression[INFO] Computer Science [cs]Complex Networks
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NetBone: A Python Package for Extracting Backbones of Weighted Networks

2023

NetBone is a new open-source Python package designed to simplify analyzing complex networks. With a wide range of techniques available, Net-Bone allows researchers to extract the backbone of a network while preserving its essential structure. The package includes nine structural methods and five statistical techniques, offering users a comprehensive solution to network analysis. It is user-friendly and straightforward to use, with easy installation. The package accepts different types of inputs, including data frames or Networkx graphs, and provides evaluation measures for comparative purposes. Additionally, NetBone offers an option to generate plots. Its versatility makes it a valuable too…

Graph SummarizationSparsificationBackbone Filtering TechniquesNetwork Compression[INFO] Computer Science [cs]Complex Networks
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