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These studies suggest that modeling the behavior of complex networks and systems involves using pattern-oriented modeling, complex network models and techniques, network measures, time series analysis, graph theory, higher-order network models, and understanding microscopic mechanisms, as well as focusing on stability, synchronization, and chaos control.
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The study and modeling of complex networks and systems are crucial for understanding the intricate behaviors and interactions within various domains such as ecology, sociology, biology, and technology. Researchers employ a variety of techniques and models to decode the internal organization and dynamic properties of these systems.
Pattern-Oriented Modeling:
Graph Theory and Network Models:
Dynamic Properties and Time Series Analysis:
Higher-Order Network Models:
The study and modeling of complex networks and systems involve a combination of pattern-oriented modeling, graph-theoretical analysis, and dynamic property analysis. These approaches help decode the internal organization, predict behaviors, and address interdisciplinary challenges by leveraging commonalities in network topologies and incorporating advanced modeling techniques.
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