We present Conedy, a performant scientific tool to numerically investigate dynamics on complex networks. Conedy allows to create networks and provides automatic code generation and compilation to ensure performant treatment of arbitrary node dynamics. Conedy can be interfaced via an internal script interpreter or via a Python module.
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Conedy uses a 32 bit integer as identifier for the target node of the edge. For edges with virtual functions, 64 bit is needed for the jump table and most modern compiler will leave another 32 bit empty due to alignment of the data structures.
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2012
American Institute of Physics
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