Characterization of Urban Transportation Networks Using Network Motifs

Pellegrini, Lilla; Leba, Monica; Iovanovici, Alexandru

doi:10.15546/aeei-2020-0019

AEI

2020

DOI: 10.15546/aeei-2020-0019

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Characterization of Urban Transportation Networks Using Network Motifs

Lilla Pellegrini¹,

Monica Leba²,

Alexandru Iovanovici³

Abstract: We use tools and techniques specific to the field of complex networks analysis for the identification and extraction of key parameters which define ”good” patterns and practices for designing public transportation networks. Using network motifs we analyze a set of 18 cities using public data sets regarding the topology of network and discuss each of the identified motifs using the concepts and tools of urban planning.

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Cited by 3 publications

References 11 publications

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Motif discovery in hospital ward vital signs observation networks

Ironside-Smith,

Noë,

Allen

et al. 2024

Netw Model Anal Health Inform Bioinforma

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Vital signs observations are regular measurements used by healthcare staff to track a patient’s overall health status on hospital wards. We look at the potential in re-purposing aggregated and anonymised hospital data sources surrounding vital signs recording to provide new insights into how care is managed and delivered on wards. In this paper, we conduct a retrospective longitudinal observational study of 770,720 individual vital signs recordings across 20 hospital wards in South Wales (UK) and present a network modelling framework to explore and extract behavioural patterns via analysis of the resulting network structures at a global and local level. Self-loop edges, dyad, triad, and tetrad subgraphs were extracted and evaluated against a null model to determine individual statistical significance, and then combined into ward-level feature vectors to provide the means for determining notable behaviours across wards. Modelling data as a static network, by aggregating all vital sign observation data points, resulted in high uniformity but with the loss of important information which was better captured when modelling the static-temporal network, highlighting time’s crucial role as a network element. Wards mostly followed expected patterns, with chains or stand-alone supplementary observations by clinical staff. However, observation sequences that deviate from this are revealed in five identified motif subgraphs and 6 anti-motif subgraphs. External ward characteristics also showed minimal impact on the relative abundance of subgraphs, indicating a ‘superfamily’ phenomena that has been similarly seen in complex networks in other domains. Overall, the results show that network modelling effectively captured and exposed behaviours within vital signs observation data, and demonstrated uniformity across hospital wards in managing this practice.

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Motif discovery in hospital ward vital signs observation networks

Ironside-Smith,

Noë,

Allen

et al. 2024

Netw Model Anal Health Inform Bioinforma

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Motif analysis of urban rail transit network

Sallán

Lordan

2023

Physica A: Statistical Mechanics and its Applications

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Rail Transit Networks and Network Motifs: A Review and Research Agenda

Ma,

Sallan,

Lordan

2024

Sustainability

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The railway plays an essential role in urban and intercity transport of goods and people. Intercity and urban rail transit infrastructures contribute to the economic and environmental sustainability of global economies. Those infrastructures can be modeled as complex networks, so that we can evaluate system properties of the network structure. This stream of research has focused on the topological analysis of global network structure, but little research exists that examines how local network structures affect system properties. The local structure of complex networks can be examined with network motif analysis, as those network motifs are the building blocks of networked systems. Nevertheless, there has been scarce attention given to local network properties in rail transit networks. We contribute to covering this gap in the literature with a literature review of motif analysis research and its application to weighted and unweighted rail transit networks, also covering the current state-of-the-art of network motif decomposition and analysis. We demonstrate that network motif analysis is not only applicable, but also beneficial for the design and planning of rail transit networks, enhancing their sustainability by improving efficiency, reducing environmental impact, and optimizing resource allocation. Based on our findings, we propose future research directions that involve applying motif analysis to enhance the sustainability features of both unweighted and weighted rail transit networks.

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Characterization of Urban Transportation Networks Using Network Motifs

Cited by 3 publications

References 11 publications

Motif discovery in hospital ward vital signs observation networks

Motif discovery in hospital ward vital signs observation networks

Motif analysis of urban rail transit network

Rail Transit Networks and Network Motifs: A Review and Research Agenda

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