| Synchronization mechanism of clapping rhythms in mutual interacting individuals |
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| 作者姓名： | 苏世兰 肖井华 刘维清 吴晔 |
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| 作者单位： | School of Science;School of Science;Computational Communication Research Center;School of Journalism and Communication |
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| 基金项目： | Project supported by the National Natural Science Foundation of China(Grant Nos.11765008,71731002,and 11775034);the Jiangxi Provincial Natural Science Foundation,China(Grant No.20202ACBL201004)。 |
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| 摘 要： | In recent years, clapping synchronization between individuals has been widely studied as one of the typical synchronization phenomena. In this paper, we aim to reveal the synchronization mechanism of clapping interactions by observing two individuals’ clapping rhythms in a series of experiments. We find that the two synchronizing clapping rhythm series exhibit long-range cross-correlations(LRCCs);that is, the interaction of clapping rhythms can be seen as a strong-anticipation process. Previous studies have demonstrated that the interactions in local timescales or global matching in statistical structures of fluctuation in long timescales can be sources of the strong-anticipation process. However, the origin of the strong anticipation process often appears elusive in many complex systems. Here, we find that the clapping synchronization process may result from the local interaction between two clapping individuals and may result from the more global coordination between two clapping individuals. We introduce two stochastic models for mutually interacting clapping individuals that generate the LRCCs and prove theoretically that the generation of clapping synchronization process needs to consider both local interaction and global matching. This study provides a statistical framework for studying the internal synchronization mechanism of other complex systems. Our theoretical model can also be applied to study the dynamics of other complex systems with the LRCCs, including finance, transportation, and climate.
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| 关 键 词： | synchronization mechanism clapping rhythm numerical simulation |
Synchronization mechanism of clapping rhythms in mutual interacting individuals |
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| Shi-Lan Su,Jing-Hua Xiao,Wei-Qing Liu,Ye Wu.Synchronization mechanism of clapping rhythms in mutual interacting individuals[J].Chinese Physics B,2021(1). |
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| Authors: | Shi-Lan Su Jing-Hua Xiao Wei-Qing Liu Ye Wu |
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| Affiliation: | (School of Science,Beijing University of Posts and Telecommunications,Beijing 100876,China;School of Science,Jiangxi University of Science and Technology,Ganzhou 341000,China;Computational Communication Research Center,Beijing Normal University,Zhuhai 519087,China;School of Journalism and Communication,Beijing Normal University,Beijing 100875,China) |
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| Abstract: | In recent years, clapping synchronization between individuals has been widely studied as one of the typical synchronization phenomena. In this paper, we aim to reveal the synchronization mechanism of clapping interactions by observing two individuals' clapping rhythms in a series of experiments. We find that the two synchronizing clapping rhythm series exhibit long-range cross-correlations(LRCCs); that is, the interaction of clapping rhythms can be seen as a strong-anticipation process. Previous studies have demonstrated that the interactions in local timescales or global matching in statistical structures of fluctuation in long timescales can be sources of the strong-anticipation process. However, the origin of the strong anticipation process often appears elusive in many complex systems. Here, we find that the clapping synchronization process may result from the local interaction between two clapping individuals and may result from the more global coordination between two clapping individuals. We introduce two stochastic models for mutually interacting clapping individuals that generate the LRCCs and prove theoretically that the generation of clapping synchronization process needs to consider both local interaction and global matching. This study provides a statistical framework for studying the internal synchronization mechanism of other complex systems. Our theoretical model can also be applied to study the dynamics of other complex systems with the LRCCs, including finance, transportation, and climate. |
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