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Ecological systems can be seen as networks of interactions betweenindividual, species, or habitat patches. A key feature of many ecologicalnetworks is their organization into modules, which are subsets of elements thatare more connected to each other than to the other elements in the network. Weintroduce MODULAR to perform rapid and autonomous calculation of modularity insets of networks. MODULAR reads a set of files with matrices or edge lists thatrepresent unipartite or bipartite networks, and identify modules using twodifferent modularity metrics that have been previously used in studies ofecological networks. To find the network partition that maximizes modularity,the software offers five optimization methods to the user. We also included twoof the most common null models that are used in studies of ecological networksto verify how the modularity found by the maximization of each metric differsfrom a theoretical benchmark.

MODULAR: Software for the Autonomous Computation of Modularity in Large Network Sets