Focus on multilayer networks

Moreno, Yamir; Perc, Matjaž

doi:10.1088/1367-2630/ab4fcb

Cited by 24 publications

(9 citation statements)

References 43 publications

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“…Thus, street network metrics are essential measures to quantify the efficiency of cities. However, Moreno and Perc, 2019 note a limitation in the network field. It is the focus on single, isolated, and non-interacting networks.…”

Section: Discussionmentioning

confidence: 99%

Multilayer network structure and city size: A cross-sectional analysis of global cities to detect the correlation between street and terrain

George

Paul

Dhawale

2021

Environment and Planning B: Urban Analytics and City Science

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The high share of impermeable surfaces in cities modifies the terrain characteristics that facilitate natural water flow and balance. The street network, an impervious surface on its own, is also the impetus for developing other impervious surfaces by facilitating access. The purpose of this work is to assess the interconnectedness between the underlying structural lines of the terrain and the street network for making informed decisions on locating green infrastructure to maintain water balance. For this purpose, the work measures the spatio-structural similarity between the co-located networks, assesses the variation of the measure with city size and relation to an indicator of water balance. Cross-sectional analysis is performed across a large sample of cities of varying sizes to extract generalized patterns of spatial structure and variations to size. The larger cities have low index values of spatio-structural similarity ranging between –0.2 and 0.2. The low index values for larger cities relate to the emergence of small-world properties in large street networks for functional efficiency and large street networks' web-like shape. Next, the paper identifies two zones based on the interconnectedness of the roads and the terrain. The spatial extent of a zone based on points where the arterial road intersects higher orders of drainage channels and ridgelines is associated with the number of above-normal wet conditions (SPEI ≥ 2.0) with the r-value of –0.30 at a p-value of 0.05. In summary, spatial statistics on spatial network data are helpful to extract trends inherent in the multi-layered network structure of cities to provide informed solutions. The policymakers and planners can use the spatial co-location patterns between street and terrain to make data-driven decisions to locate interventions for a nature-based resilient city.

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Section: Discussionmentioning

confidence: 99%

Multilayer network structure and city size: A cross-sectional analysis of global cities to detect the correlation between street and terrain

George

Paul

Dhawale

2021

Environment and Planning B: Urban Analytics and City Science

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“…Although node failure starts in a very small scale, chain reaction is generated through connections between nodes, and it rapidly spreads to a large scale. Especially, some complex networks have multilayer structures 5 . There are dependencies among the nodes in different layers of networks.…”

Section: Introductionmentioning

confidence: 99%

Integrated method for node centrality evaluation in green networks

Chen¹,

Wang²

2023

Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022)

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For green networks, node centrality can be evaluated statically according to certain network topology characteristic. Meanwhile, it can also be evaluated dynamically according to certain network dynamic process. In order to improve the effect of node centrality evaluation, the topology characteristic can be integrated into the dynamic process model of complex networks. Cascading failure model is commonly taken as the dynamic process model of complex networks. To accurately measure the result of cascading failure, a new index is proposed. Based on this index, node centrality can be effectively evaluated. A case demonstrates the superiority and reasonability of this method and this index.

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“…It has long been recognized that the interaction along systems has become increasingly intensive [8,9,[17][18][19]. Due to the interaction between networks, systems can exhibit characteristics different from those in single-layer networks [8].…”

Section: Introductionmentioning

confidence: 99%

A possible quadruple point in networks of directed networks under targeted attacks

Liu,

Lv,

2023

New J. Phys.

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Many real systems are known to interact with one another, forming networks of networks. Plenty of attention has been poured into the research on the robustness in networks of networks in the past decade. Previous studies focus on undirected networks, or directed networks under random attacks. While many real networks are directed and how networks of directed networks respond to targeted attacks remains unknown. We thus develop a general analytical tool for analyzing the robustness of networks of directed networks under two kinds of targeted attacks: degree-based attacks and in-degree (out-degree)-based attacks. The analytical tool can perfectly predict the sizes of the nal giant strongly connected components and the phase transitions on the networks of directed networks in response to targeted attacks. By applying the tool to synthesis networks, we nd that a quadruple point intersected by four di erent phase regions could appear in the random regular networks of directed networks. To the best of our knowledge, it is the rst time that a quadruple point is found in the studies of complex networks. In addition, we nd triple points intersected by three phases in networks of directed scale free (SF) networks, and critical points that connect two phases in networks of directed Erd os-R enyi (ER) networks. The discovery of these tipping points could help understand network robustness and enable better design of networked systems.

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Focus on multilayer networks

Cited by 24 publications

References 43 publications

Multilayer network structure and city size: A cross-sectional analysis of global cities to detect the correlation between street and terrain

Multilayer network structure and city size: A cross-sectional analysis of global cities to detect the correlation between street and terrain

Integrated method for node centrality evaluation in green networks

A possible quadruple point in networks of directed networks under targeted attacks

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