Drawing Algorithms
Explore graph drawing algorithms to create clear and informative visualizations of Bayesian networks in Python. Learn how the Fruchterman-Reingold and Kamada-Kawai layouts differ and when to apply each for optimal node positioning and network structure clarity.
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Introduction
Plotting algorithms, also known as graph drawing or graph layout algorithms, are techniques used to generate visually appealing and informative representations of graph-structured data. The primary goal of these algorithms is to produce a layout that clearly reveals the underlying structure and relationships between nodes in the graph while minimizing visual clutter, such as edge crossings, node overlaps, and edge length variations.
Fruchterman-Reingold force-directed algorithm
The nx.spring_layout(G) function in NetworkX implements the ...