N Name  Description 
1C. Elegans


The C.Elegans network is a nervous systems network of the Caenorhabditis elegans.



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2Drosophila


The Drosophila network is a functional connectome within the Drosophila  melanogaster optic medulla related to the motion detection circuit.


  • Embedding: Mercator: uncovering faithful hyperbolic embeddings of complex networks. Garcia-Perez, G., Allard, A., Serrano, M. Á., and Boguñá, M., New Journal of Physics 21, 2019. https://doi.org/10.1088/1367-2630/ab57d2
  • Network: A visual motion detection circuit suggested by drosophila connectomics. Takemura, S.-y., et al. Nature, 500(7461):175–181, 2013. doi: 10.1038/nature12450.

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3Human5


The Human5 network is a connectome of the human brain including the two hemispheres.



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4Mouse3


The Mouse3 network is a conectome of the retina of a mouse.


  • Embedding: Navigable maps of structural brain networks across species. Allard, A., & Serrano, M. Á. PLoS computational biology, 16(2), e1007584, 2020. https://doi.org/10.1371/journal.pcbi.1007584
  • Network: Connectomic reconstruction of the inner plexiform layer in the mouse retina. Helmstaedter, M., Briggman, K. L., Turaga, S. C., Jain, V., Seung, H. S., & Denk, W. Nature, 500(7461), 168-174, 2013. https://doi.org/10.1038/nature12346

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4



About

NETS2MAPS is a web platform for the geometric mapping, analysis, and visualization of complex networks and big data systems. Network geometry states that the architecture of real complex networks has a geometric origin. Under this approach, the elements of complex networks can be characterized by their positions in a latent underlying geometry so that the observable network topology is simply a reflection of their distances in this space.

This simple idea has led to the development of network geometry, a very general framework able to explain the most ubiquitous topological properties of real complex networks. Our models are able to explain in a very natural way highly non-trivial properties of real networks, like their self-similarity, community structure, or navigability properties.



TOOLBOX

Mercator & community detection

Geometric network models are able to explain in a very natural way highly non-trivial properties of real networks, like their self-similarity, community structure, or navigability properties. Click LOGIN or REGISTER HERE for creating your own networks maps in the hyperbolic plane using our on-line embedding tool Mercator. See the user manual for a guide on how to carry out embeddings of your own networks using our online tool Mercator and how to perform community detection and visualization of networks in the hyperbolic plane. Download Mercator in case that your network has >5000 nodes. If you use Mercator embeddings in a publication, do not forget to cite New J. Phys. 21, 123033 (2019) doi: 10.1088/1367-2630/ab57d2. We also provide tools for the detection of geometric community structure, Scientific Reports 6, 33441 (2016) doi:10.1038/srep33441.

The World Trade Atlas 1870-2013

The World Trade Atlas 1870-2013 Interactive Tools is an interactive graphical representation of the history of world trade from 1870 to 2013. It is based on the collection of annual world trade maps in hyperbolic space where distances incorporate the different dimensions that affect international trade, beyond mere geography (Scientific Reports 6, 33441 (2016) doi:10.1038/srep33441). The atlas provides us with information regarding the long-term evolution of the international trade system and demonstrates that, in terms of trade, the world is not flat, but hyperbolic.

GO


N Name  Description 
1C. Elegans


The C.Elegans network is a nervous systems network of the Caenorhabditis elegans.



Download

2Drosophila


The Drosophila network is a functional connectome within the Drosophila  melanogaster optic medulla related to the motion detection circuit.


  • Embedding: Mercator: uncovering faithful hyperbolic embeddings of complex networks. Garcia-Perez, G., Allard, A., Serrano, M. Á., and Boguñá, M., New Journal of Physics 21, 2019. https://doi.org/10.1088/1367-2630/ab57d2
  • Network: A visual motion detection circuit suggested by drosophila connectomics. Takemura, S.-y., et al. Nature, 500(7461):175–181, 2013. doi: 10.1038/nature12450.

Download

3Human5


The Human5 network is a connectome of the human brain including the two hemispheres.



Download

4Mouse3


The Mouse3 network is a conectome of the retina of a mouse.


  • Embedding: Navigable maps of structural brain networks across species. Allard, A., & Serrano, M. Á. PLoS computational biology, 16(2), e1007584, 2020. https://doi.org/10.1371/journal.pcbi.1007584
  • Network: Connectomic reconstruction of the inner plexiform layer in the mouse retina. Helmstaedter, M., Briggman, K. L., Turaga, S. C., Jain, V., Seung, H. S., & Denk, W. Nature, 500(7461), 168-174, 2013. https://doi.org/10.1038/nature12346

Download

4



CONTRIBUTIONS





M. Ángeles Serrano

ICREA & Universitat de Barcelona

Marián Boguñá Espinal

Universitat de Barcelona


Antoine Allard

Université Laval

Guillermo García-Pérez

University of Turku

Amani Tahat

Universitat de Barcelona

Pedro Almagro Blanco

Universitat de Barcelona






NETS2MAPS (c) 2019
All rightd reserved.

Martí i Franquès, 1
08028 Barcelona
Spain


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