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| SynergisticEffects in Social Contagions on Networks |
| LU Jiong, XU Xinjian
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| Department of Mathematics, Shanghai University, Shanghai 200444, China |
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Abstract Synergy is ubiquitous in contagion processes on complex networks. Most existing studies have been focused on the continuous models, yet the discrete models received less attention. Motivated by this, we employ the generating function method to study a two-state (active or inactive) threshold model on complex networks with different synergistic effects. Compared to the case without synergy, the positive synergy enhances prevalence and weakens systematic robustness. The negative synergy, however, plays an opposite role. These effects are strengthened when the network is heterogeneous.
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Received: 07 May 2021
Published: 12 October 2022
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