1. Hypernetwork modeling and topology of high-order interactions for complex systems.
- Author
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Li Feng, Huiying Gong, Shen Zhang, Xiang Liu, Yu Wang, Jincan Che, Ang Dong, Griffin, Christopher H., Gragnoli, Claudia, Jie Wu, Shing-Tung Yau, and Rongling Wu
- Subjects
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HOMOLOGY theory , *BIOTIC communities , *STATISTICAL mechanics , *GAME theory , *MICROBIAL communities - Abstract
Interactions among the underlying agents of a complex system are not only limited to dyads but can also occur in larger groups. Currently, no generic model has been developed to capture high-order interactions (HOI), which, along with pairwise interactions, portray a detailed landscape of complex systems. Here, we integrate evolutionary game theory and behavioral ecology into a unified statistical mechanics framework, allowing all agents (modeled as nodes) and their bidirectional, signed, and weighted interactions at various orders (modeled as links or hyperlinks) to be coded into hypernetworks. Such hypernetworks can distinguish between how pairwise interactions modulate a third agent (active HOI) and how the altered state of each agent in turn governs interactions between other agents (passive HOI). The simultaneous occurrence of active and passive HOI can drive complex systems to evolve at multiple time and space scales. We apply the model to reconstruct a hypernetwork of hexa-species microbial communities, and by dissecting the topological architecture of the hypernetwork using GLMY homology theory, we find distinct roles of pairwise interactions and HOI in shaping community behavior and dynamics. The statistical relevance of the hypernetwork model is validated using a series of in vitro mono-, co-, and tricultural experiments based on three bacterial species. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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