Competition, Collaboration, and Optimization in Multiple Interacting Spreading Processes

نویسندگان

چکیده

Competition and collaboration are at the heart of multi-agent probabilistic spreading processes. The battle on public opinion competitive marketing campaigns typical examples former, while joint spread multiple diseases such as HIV tuberculosis demonstrates latter. These spreads influenced by underlying network topology, infection rates between constituents, recovery and, equally importantly, interactions processes themselves. Here, for first time we derive dynamic message-passing equations that provide an exact description dynamics two interacting tree graphs, develop systematic low-complexity models predict general graphs. We also a theoretical framework optimal control through optimized resource allocation under budget constraints within finite window. Derived algorithms can be used to maximize desired in presence rival process, limit vaccination case coupled infectious diseases. demonstrate efficacy optimization method both synthetic real-world networks.

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ژورنال

عنوان ژورنال: Physical Review X

سال: 2021

ISSN: ['2160-3308']

DOI: https://doi.org/10.1103/physrevx.11.011048