Evolving cycles and self-organised criticality in social dynamics

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dc.citation.rankM21a
dc.citation.spage113459
dc.citation.volume171
dc.contributor.authorTadić, Bosiljka
dc.contributor.authorMitrović Dankulov, Marija
dc.contributor.authorMelnik, Roderick
dc.date.accessioned2024-06-12T11:42:20Z
dc.date.available2024-06-12T11:42:20Z
dc.date.issued2023-06
dc.description.abstractIn many complex systems, self-organised criticality (SOC) provides a mechanism for the diversity of spatiotemporal scales that optimises the system's response to omnipresent driving forces. Signatures of SOC are increasingly more evidenced in collective social behaviours. However, the spontaneous occurrence of critical states and their role in maintaining the system's functional properties still need to be better understood; the reason can be related to the complexity of human interactions and the ubiquitous presence of cycles in social dynamics. In this work, we shed new light on these issues based on a critical survey and the extensive data analysis of online social dynamics. Firstly, we highlight prominent features of human activity patterns, conditioned by circadian cycles and content-related interactions, that can affect the course of the dynamics from the elemental to the global scale. We then analyse the prototypal time series of emotion-driven communications in the online social network MySpace to demonstrate the coexistence of SOC states with the modulated cyclical trends. Precisely, we determine avalanches of emotional comments exhibiting multifractal scaling, scale-invariant inter-avalanching behaviours and temporal correlations coexist with the cyclical trends of broad singularity spectra. We demonstrate that similar multi-harmonic cycles occur in entirely different datasets, particularly the negative emotion-driven Diggs and the infection-rate data from recent epidemics. Our results reveal the dynamical regime where the modulated cycles coexist with self-organised critical states; in contrast, in the cycles-dominated regime, exemplified by the infection time series, the nature of collective dynamics remains hidden behind the cycle modulation.
dc.identifier.doi10.1016/j.chaos.2023.113459
dc.identifier.issn0960-0779
dc.identifier.scopus2-s2.0-85154616857
dc.identifier.urihttps://pub.ipb.ac.rs/handle/123456789/77
dc.identifier.wos001042062500001
dc.language.isoen
dc.publisherElsevier Ltd
dc.relation.ispartofChaos, Solitons and Fractals
dc.relation.ispartofabbrChaos Solit. Fractals.
dc.rightsrestrictedAccess
dc.titleEvolving cycles and self-organised criticality in social dynamics
dc.typeArticle
dc.type.versionpublishedVersion
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