Complex networks, community structure, and catchment classification in a large-scale river basin
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文摘
Concepts of complex networks are used to classify catchments in a large-scale basin. Six community structure methods are applied to catchments in the Mississippi River. Influence of correlation thresholds on catchment classification is studied. Consistency in the performance of the six community structure methods is assessed. Role of river network and catchment/flow properties on communities is discussed.
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