Comparative analysis of graph randomization: Tools,methods, pitfalls, and best practices
arxiv(2024)
摘要
Graph randomization techniques play a crucial role in network analysis,
allowing researchers to assess the statistical significance of observed network
properties and distinguish meaningful patterns from random fluctuations. In
this survey we provide an overview of the graph randomization methods available
in the most popular software tools for network analysis. We propose a
comparative analysis of popular software tools to highlight their
functionalities and limitations. Through case studies involving diverse graph
types, we demonstrate how different randomization methods can lead to divergent
conclusions, emphasizing the importance of careful method selection based on
the characteristics of the observed network and the research question at hand.
This survey proposes some guidelines for researchers and practitioners seeking
to understand and utilize graph randomization techniques effectively in their
network analysis projects.
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