Emerging Clapping Synchronization From a Complex Multiagent Network With Local Information via Local Control

Abstract

Recently, complex multiagent networks have received increasing attention from various fields of science and engineering. Synchronization is a typical collective behavior of complex multiagent networks that has extensively been investigated over the last decade. To reveal the dynamical mechanism of synchronization in complex multiagent networks, a simple complex multiagent network with local information is then further investigated. Based on a suitable model, we analyze the inherent key factors in the emerging clapping synchronization. In particular, we explore two challenging fundamental questions: 1) How does the number of informed agents (or backbones) affect the emerging clapping synchronization? 2) How does the distribution of informed agents (or backbones) affect the emerging clapping synchronization? Our results indicate that the emerging clapping synchronization has a great diversity of routes, uncertainty, and adaptability. Moreover, our model and approach provide a possible route for analyzing the other collective behaviors of complex multiagent networks with local information via local control.

Synchronization mechanism of clapping rhythms in mutual interacting individuals*

“…It should be noted that since the study on the appearance and disappearance of clapping synchronization states is the main content of our previous study, [11] this part is not covered in the numerical simulations, which is different from previous studies on phenomena. [1][2][3][4][5][6][7][8]36,37] In fact, our model II can not only reveal the synchronization mechanism underlying clapping interaction (see Figs. 1, 4, and 5), but also reproduce the synchronization state of the clapping process.…”

“…That is, the synchronization mechanism among a group is realized through the global output of the clapping system. [1][2][3][4][5][6][7][8] Here, we mainly focus on the regimes of synchronous process of two interacting individuals where the direct interaction can't be omitted. Our experimental results show that the clapping period series of two participants exhibit the LRCCs, which indicates that the interaction of clapping rhythm can be seen as a strong-anticipation process.…”

“…Many physical methods have been used to study group clapping coupling dynamics, and a lot of rich results have been obtained. [1][2][3][4][5][6][7][8][9][10] Néda et al [1][2][3][4][5] show that the key to the clapping synchronization is the period-doubling of the clapping rhythms and model the globally coupled two-mode stochastic oscillators to explain the causes of the emergence and disappearance of group clapping synchronization. Xenides et al [6] explain the emergence of spontaneous clapping synchronization based on the decision-based queuing process and point out that the audiences' clapping synchronization originated from the homoplasy of human behavior.…”

“…Xenides et al [6] explain the emergence of spontaneous clapping synchronization based on the decision-based queuing process and point out that the audiences' clapping synchronization originated from the homoplasy of human behavior. Deyi Li et al [7,8] construct a nonlinear emergence model based on the famous "crowd psychology" theory to analyze the conditions for the emergence of the clapping synchronization in concert halls and determine the law that the number and the distribution of informed subjects in the complex network affect the clapping synchronization. Mann et al [9] find that clapping behavior is socially conta-gious, and the probability of being infected and beginning to clap is directly proportional to the number of audiences who have already started clapping.…”

“…Previous studies on clapping synchronization are mostly from the viewpoint of rhythmic group applause, where the synchronization mechanism among a group is realized through the global output of the clapping system. [1][2][3][4][5][6][7][8][9][10] However, the interaction and the synchronization mechanism of the local individuals can reveal the synchronous processes more elaborately. Furthermore, the clapping rhythm interaction between two individuals can be taken as an example of the interpersonal coordination process.…”