There is often a significant fragmentation in the data formats, models and tools used by academic and industrial communities when studying and optimizing techno-socio-economic systems such as transportation systems, financial markets or infrastructural networks, i.e. power, gas and water networks. This means that several communities use or develop their own data formats, models and tools that do not allow a more universal evaluation and comparison of models and mechanisms. This phenomenon results in discrepancies of findings or very customized solutions with limited applicability.

Motivated by this limiting status-quo, SFINA, the Simulation Framework for Intelligent Network Adaptations is designed. SFINA represents complex techno-socio-economic systems as temporal flow networks modeled by dynamic directed weighted graphs. In contrast to static undirected unweighted graphs that only show a snapshot of interactions, a temporal flow network encompasses both structural and functional aspects of most techno-socio-economic systems.

SFINA is by design a decentralized multi-agent system and it is an open-source implementation in Java.

The core operation of SFINA is the flow analysis that computes the flow in a network given its physical characteristics in an application domain. The grant objective of SFINA is to provide development toolkits to build and evaluate generic and modular flow regulation mechanisms applicable in different flow analysis models and, even application domains.


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