4/4/2023 0 Comments Article sizing tool pnas![]() ![]() For example, biological and social patterns, the World Wide Web, metabolic networks, food webs, neural networks and pathological networks are real world problems that can be mathematically represented and topologically studied to reveal some unexpected structural features. Many scientifically important problems can be represented and empirically studied using networks. Biological networks, including animal brains, exhibit a high degree of modularity. However, it has been shown that modularity suffers a resolution limit and, therefore, it is unable to detect small communities. Modularity is often used in optimization methods for detecting community structure in networks. Networks with high modularity have dense connections between the nodes within modules but sparse connections between nodes in different modules. Modularity is a measure of the structure of networks or graphs which measures the strength of division of a network into modules (also called groups, clusters or communities). Example of modularity measurement and colouring on a scale-free network. ![]()
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