Multi-layer temporal network model of the space environment

Yirui Wang; Callum Wilson; Massimiliano Vasile

Multi-layer temporal network model of the space environment

Yirui Wang, Callum Wilson, Massimiliano Vasile

Research output: Contribution to conference › Paper

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Abstract

To investigate the resilience and sustainability of the global space environment, a Multi-layer Temporal Network Model (MTN) is proposed in this paper. The idea of the network model is to study the relationships among groups of objects in space by studying the topology and dynamics of an equivalent network where each node is a group of objects and the link is modelling the relationship. “Multi-layer indicates different functionalities among the space objects, such as the physics and information, etc. Currently, only physical layer of MTN is considered. By comparing with the simulation results from existing space environment model, the correctness of the network model is first verified. Some experiments are performed to demonstrate the basic functionalities of the proposed MTN.

Original language	English
Number of pages	17
Publication status	Published - 13 Aug 2023
Event	2023 AAS/AIAA Astrodynamics Specialist Conference - Big Sky Resort, Big Sky, United States Duration: 13 Aug 2023 → 17 Aug 2023 https://space-flight.org/docs/2023_summer/2023_summer.html

Conference

Conference	2023 AAS/AIAA Astrodynamics Specialist Conference
Country/Territory	United States
City	Big Sky
Period	13/08/23 → 17/08/23
Internet address	https://space-flight.org/docs/2023_summer/2023_summer.html

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production

Keywords

space utilization
space research
space science
space sustainability
Space Traffic Managemen
space environment management
Graph theory
temporal networks
stochastic differential equationquation
percolation theory

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Wang-etal-AAS-AIAA-2023-Multi-layer-temporal-network-modelAccepted author manuscript, 2.75 MBLicence: Strath_1

Cite this

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title = "Multi-layer temporal network model of the space environment",

abstract = "To investigate the resilience and sustainability of the global space environment, a Multi-layer Temporal Network Model (MTN) is proposed in this paper. The idea of the network model is to study the relationships among groups of objects in space by studying the topology and dynamics of an equivalent network where each node is a group of objects and the link is modelling the relationship. “Multi-layer indicates different functionalities among the space objects, such as the physics and information, etc. Currently, only physical layer of MTN is considered. By comparing with the simulation results from existing space environment model, the correctness of the network model is first verified. Some experiments are performed to demonstrate the basic functionalities of the proposed MTN.",

keywords = "space utilization, space research, space science, space sustainability, Space Traffic Managemen, space environment management, Graph theory, temporal networks, stochastic differential equationquation, percolation theory",

author = "Yirui Wang and Callum Wilson and Massimiliano Vasile",

year = "2023",

month = aug,

day = "13",

language = "English",

note = "2023 AAS/AIAA Astrodynamics Specialist Conference ; Conference date: 13-08-2023 Through 17-08-2023",

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TY - CONF

T1 - Multi-layer temporal network model of the space environment

AU - Wang, Yirui

AU - Wilson, Callum

AU - Vasile, Massimiliano

PY - 2023/8/13

Y1 - 2023/8/13

N2 - To investigate the resilience and sustainability of the global space environment, a Multi-layer Temporal Network Model (MTN) is proposed in this paper. The idea of the network model is to study the relationships among groups of objects in space by studying the topology and dynamics of an equivalent network where each node is a group of objects and the link is modelling the relationship. “Multi-layer indicates different functionalities among the space objects, such as the physics and information, etc. Currently, only physical layer of MTN is considered. By comparing with the simulation results from existing space environment model, the correctness of the network model is first verified. Some experiments are performed to demonstrate the basic functionalities of the proposed MTN.

AB - To investigate the resilience and sustainability of the global space environment, a Multi-layer Temporal Network Model (MTN) is proposed in this paper. The idea of the network model is to study the relationships among groups of objects in space by studying the topology and dynamics of an equivalent network where each node is a group of objects and the link is modelling the relationship. “Multi-layer indicates different functionalities among the space objects, such as the physics and information, etc. Currently, only physical layer of MTN is considered. By comparing with the simulation results from existing space environment model, the correctness of the network model is first verified. Some experiments are performed to demonstrate the basic functionalities of the proposed MTN.

KW - space utilization

KW - space research

KW - space science

KW - space sustainability

KW - Space Traffic Managemen

KW - space environment management

KW - Graph theory

KW - temporal networks

KW - stochastic differential equationquation

KW - percolation theory

UR - https://space-flight.org/docs/2023_summer/2023_summer.html

M3 - Paper

T2 - 2023 AAS/AIAA Astrodynamics Specialist Conference

Y2 - 13 August 2023 through 17 August 2023

ER -

Multi-layer temporal network model of the space environment

Abstract

Conference

UN SDGs

Keywords

Access to Document

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