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ZENODO
Dataset . 2016
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2016
Data sources: ZENODO
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Complexnettsp/Multilayerparis V1.0

Authors: Vincent Gauthier; Fereshteh Asgari;

Complexnettsp/Multilayerparis V1.0

Abstract

This repository contains the multimodal transportation network of Ile-de-France which is modelled by graph layers corresponding each to a different transportation mode, interconnected together into a multilayer graph. The graph of the transport networks is provided under various format (graphml, gml, edge and vertex files format). The network is composed of three layers: the road network, the train network is a hybrid commuter rapid transit system in France serving Paris and its suburbs and the subway network which is only present inside the Paris city limits. To build this graph, multiple geospatial datasets, namely the road network from the French National Geographic Institute and the rail transport network (train and metro) from OpenStreetMap were aggregated. Each node in the graph is either a road intersection, a rail station or a metro station. A key feature of the proposed multimodal transportation network is its modelling of transitions between different transport modes during a given trip. Cross-layer transition modelling is ensured by adding cross-layer appropriate edges between layers.

{"references": ["F. Asgari, A. Sultan, H. Xiong, V. Gauthier, M. El-Yacoubi, \"CT-Mapper: Mapping Sparse Multimodal Cellular Trajectories using a Multilayer Transportation Network\", Computer Communications, Special Issue on Mobile Traffic Analytics , 95 , pp. 69-81, 2016. DOI:10.1016/j.comcom.2016.04.014"]}

Keywords

multi-modal transport network, Transport Networks, Road Network, Subway network

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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