Modular gateway-ness connectivity and structural core organization in maritime network science

Xu, Mengqiao; Pan, Qian; Muscoloni, Alessandro; Xia, Haoxiang; Cannistraci, Carlo Vittorio

doi:10.1038/s41467-020-16619-5

Cited by 59 publications

(62 citation statements)

References 61 publications

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“…Our oceans are responsible for the carriage of around 80% of world trade and are the lifeblood of many national economies which rely heavily on fishing and tourism 27,34,36,37 . Here, using electronic vessel monitoring systems we quantify and map changes in ship-based activities to provide a comprehensive overview of how multiple national lockdowns to counter COVID-19 have impacted maritime traffic.…”

Section: Discussionmentioning

confidence: 99%

“…marine protected areas, speed limits, traffic separation schemes), socio-economic changes, piracy, environmental changes or by cultural and political events 26,27,42,43 . Moreover, these drivers can 17,34 or the transmission of future diseases 32,33 . Moreover, using trajectory information to quantify changes in vessel behaviour would allow the mapping of changes of multiple human pressures (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…Then, we assess the high temporal variability (i.e. daily basis) in the Western Mediterranean Sea, a key region for the global liner shipping network 34 and cruise tourism 35 , which includes three countries most impacted by the COVID-19 outbreak in Europe (i.e. Italy, Spain and France).…”

Section: Introductionmentioning

confidence: 99%

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Tracking the global reduction of marine traffic during the COVID-19 pandemic

March

Metcalfe

Tintoré

et al. 2020

Preprint

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The COVID-19 pandemic has resulted in unparalleled global impacts on human mobility. In the ocean, ship-based activities are thought to have decreased due to severe restrictions and changes in goods consumption, but little is known of the patterns of change, which sectors are most affected, in which regions, and for how long. Here, we map global change of marine traffic during the COVID-19 pandemic and assess its temporal variability at a fine-scale in one of the most affected regions, the Mediterranean Sea. Nearly 44.3% of the global ocean and 77.5% of national jurisdictions showed a decrease in traffic density during April 2020, when strictest confinement measures took place, showing a clear disruption in comparison with previous trends and future projections. Decreases mainly occurred in coastal areas and were more marked and longer lasting in sectors other than cargo and tanker shipping. Our results provide guidance for large-scale monitoring of the progress and potential effects of COVID-19, or other global shocks, on the blue economy and ocean health.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Tracking the global reduction of marine traffic during the COVID-19 pandemic

March

Metcalfe

Tintoré

et al. 2020

Preprint

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“…The dataset was provided by Alphaliner [33] at a given point of time (i.e. April 2015) and was also used in our previous work [17,34]. The Alphaliner database extensively covers the fleets of regular service royalsocietypublishing.org/journal/rsos R. Soc.…”

Section: Datamentioning

confidence: 99%

Estimating international trade status of countries from global liner shipping networks

Pan

Xia

et al. 2020

R. Soc. open sci.

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Maritime shipping is a backbone of international trade and, thus, the world economy. Cargo-loaded vessels travel from one country's port to another via an underlying port-to-port transport network, contributing to international trade values of countries en route. We hypothesize that ports that involve trans-shipment activities serve as a third-party broker to mediate trade between two foreign countries and contribute to the corresponding country's status in international trade. We test this hypothesis using a port-level dataset of global liner shipping services. We propose two indices that quantify the importance of countries in the global liner shipping network and show that they explain a large amount of variation in individual countries' international trade values and related measures. These results support a long-standing view in maritime economics, which has yet to be directly tested, that countries that are strongly integrated into the global maritime transportation network have enhanced access to global markets and trade opportunities.

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“…Research on the modular dyadic organization of complex networked systems has become increasingly popular in many scientific disciplines diverse from physics, including sociobehavioral [1][2][3] , biological 3,4 and maritime 5 science. Progress has been achieved also in modeling community organization in artificial networks by random graphs without 6 and with geometry [7][8][9][10] .…”

Section: Introductionmentioning

confidence: 99%

Hyperedge Entanglement in High-Order Multilayer Networks

Muscoloni¹,

Abdelhamid²,

Decano³

et al. 2020

Preprint

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Many real complex systems present multilayer structure where high-order metadata on one layer refers to dyadic data on a lower layer. Significant progresses to analyse high-order metadata under the assumption of community organization have been done. However, there are no planted communities in real-world networks, and the necessity of new frameworks to analyze high-order metadata regardless of community organization has been raised.Here, we propose to adopt hyperedge organization. Predicting ‘entanglements’ between a hyperedge and nodes scattered in the rest of the network might suggest structural or functional liaisons, without assumption of any community organization. We introduce a novel concept: hyperedge entanglement (HE), which associates to each hyperedge an entangled hyperedge, by means of a network operator that predicts significant ‘interactions at distance’ between network nodes and existing hyperedges. We also introduce a new challenge termed hyperedge entanglement prediction (HEP), and an algorithm to perform this task. We evaluated HEP performance on social, biological and synthetic data where, given only topology and hyperedges (such as communities or functional modules), the goal is to predict whether nodes not connected to a certain hyperedge might be candidates for a significant entanglement. Finally, as real application in diseasome systems biomedicine, we perform HEP on the human protein interactome to predict unknown gene entanglements with the COPD disease gene hyperedge. HEP predictions are validated by biological experiments, enlarging our understanding of molecular mechanisms behind COPD/aneurysm comorbidity.

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Modular gateway-ness connectivity and structural core organization in maritime network science

Cited by 59 publications

References 61 publications

Tracking the global reduction of marine traffic during the COVID-19 pandemic

Tracking the global reduction of marine traffic during the COVID-19 pandemic

Estimating international trade status of countries from global liner shipping networks

Hyperedge Entanglement in High-Order Multilayer Networks

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