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  1. Thesis
  2. Year of 2025

On the Analysis of Collective Dynamics in Social Groups with Bees and Football Players as Case Studies

https://doi.org/10.15102/0002000912
https://doi.org/10.15102/0002000912
cee59e9c-1307-404f-a916-80d72c97026d
Name / File License Actions
ShpurovIvanFulltext.pdf ShpurovIvanFulltext.pdf (5 MB)
ShpurovIvanExamAbstract.pdf ShpurovIvanExamAbstract.pdf (48 KB)
Item type 学位論文 / Thesis or Dissertation(1)
PubDate 2025-07-08
Title
Title ミツバチとサッカー選手を事例としたソーシャルグループにおける集団力学の分析について
Language ja
Title
Title On the Analysis of Collective Dynamics in Social Groups with Bees and Football Players as Case Studies
Language en
Language
Language eng
Keyword
Subject Scheme Other
Subject complex adaptive systems | collective dynamics | scale-free phenomena | swarm behavior | artificial life
Resource Type
Resource Type Identifier http://purl.org/coar/resource_type/c_db06
Resource Type doctoral thesis
Identifier Registration
Identifier Registration 10.15102/0002000912
Identifier Registration Type JaLC
Access Right
Access Rights open access
Access Rights URI http://purl.org/coar/access_right/c_abf2
Author Shpurov, Ivan

× Shpurov, Ivan

en Shpurov, Ivan

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Abstract
Description Type Abstract
Description The main focus of this thesis is investigating the emergent effects observed in the collective dynamics of the honeybee hive. We use a previously acquired dataset of time-resolved trajectories of hundreds of bees inside the hive, recorded for multiple days and nights. In a series of papers, we study the temporal and spatial dynamics of the bee hive, uncovering scale-free correlations of occupancy fluctuations in both temporal and spatial domains. These observations indicate the proximity of the system to the second-order phase transition. Furthermore, we observe a non-trivial relationship between throughput and density, implying that the beehive undergoes a jamming transition. This finding is explored further by constructing a model of jamming in 2D using stochastic cellular automata and exploring how correlation length is dependent on the density. Additional insights are obtained by studying the properties of the functional network computed using correlations between the timeseries of individual bees.
The supplementary project is centered on the study of the trajectories of professional football players from the Japanese football league. It has been found that statistical properties of trajectories of individual players’ are best described by the Lévy walk dynamics. Furthermore, we have found that these dynamics are preserved when centers of mass trajectories for each team are considered. However, the power-law distribution of step sizes which is indicative of the Lévy walk is reduced to the exponential when only the periods when players are in possession of the ball are considered. Based on these findings we hypothesize that players’ behavior is reminiscent of that of the foraging animals which resort to Lévy walk when resource distribution is sparse.
Language en
Exam Date
2025-05-15
Degree Conferral Date
Date Granted 2025-06-30
Degree
Degree Name Doctor of Philosophy
Degree Referral Number
Dissertation Number 甲第196号
Degree Conferrral Institution
Degree Grantor Name Identifier Scheme kakenhi
Degree Grantor Name Identifier 38005
Degree Grantor Name Okinawa Institute of Science and Technology Graduate University
Version Format
Version Type VoR
Version Type Resource http://purl.org/coar/version/c_970fb48d4fbd8a85
Copyright Information
Rights © 2025 The Author.
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