Deterministic Random Walk Model in NetLogo and the Identification of Asymmetric Saturation Time in Random Graph

التفاصيل البيبلوغرافية
العنوان: Deterministic Random Walk Model in NetLogo and the Identification of Asymmetric Saturation Time in Random Graph
المؤلفون: Chatterjee, Ayan, Cao, Qingtao, Sajadi, Amirhossein, Ravandi, Babak
سنة النشر: 2022
المجموعة: Computer Science
Statistics
مصطلحات موضوعية: Computer Science - Multiagent Systems, Statistics - Applications
الوصف: Interactive programming environments are powerful tools for promoting innovative network thinking, teaching science of complexity, and exploring emergent phenomena. This paper reports on our recent development of the deterministic random walk model in NetLogo, a leading platform for computational thinking, eco-system thinking, and multi-agent cross-platform programming environment. The deterministic random walk is foundational to modeling dynamical processes on complex networks. Inspired by the temporal visualizations offered in NetLogo, we investigated the relationship between network topology and diffusion saturation time for the deterministic random walk model. Our analysis uncovers that in Erd\H{o}s-R\'{e}nyi graphs, the saturation time exhibits an asymmetric pattern with a considerable probability of occurrence. This behavior occurs when the hubs, defined as nodes with relatively higher number of connections, emerge in Erd\H{o}s-R\'{e}nyi graphs. Yet, our analysis yields that the hubs in Barab\'{a}si-Albert model stabilize the the convergence time of the deterministic random walk model. These findings strongly suggest that depending on the dynamical process running on complex networks, complementing characteristics other than the degree need to be taken into account for considering a node as a hub. We have made our development open-source, available to the public at no cost at https://github.com/bravandi/NetLogo-Dynamical-Processes.
نوع الوثيقة: Working Paper
DOI: 10.1007/s41109-023-00559-2
URL الوصول: http://arxiv.org/abs/2211.05189
رقم الأكسشن: edsarx.2211.05189
قاعدة البيانات: arXiv
الوصف
DOI:10.1007/s41109-023-00559-2