Alessandro Chessa


Ontology type: schema:Person     


Person Info

NAME

Alessandro

SURNAME

Chessa

Publications in SciGraph latest 50 shown

  • 2015-05 Network communities within and across borders in SCIENTIFIC REPORTS
  • 2014 Power Grids, Smart Grids and Complex Networks in NONLINEAR PHENOMENA IN COMPLEX SYSTEMS: FROM NANO TO MACRO SCALE
  • 2013-03 Reconstructing a credit network in NATURE PHYSICS
  • 2013 Recent Developments of Complex Network Analysis in Spatial Planning in THE GEOGRAPHY OF NETWORKS AND R&D COLLABORATIONS
  • 2013-01 Commuter networks and community detection: A method for planning sub regional areas in THE EUROPEAN PHYSICAL JOURNAL SPECIAL TOPICS
  • 2013 Distributed Generation and Resilience in Power Grids in CRITICAL INFORMATION INFRASTRUCTURES SECURITY
  • 2011-03 Time evolution of complex networks: commuting systems in insular Italy in JOURNAL OF GEOGRAPHICAL SYSTEMS
  • 2009-07-07 Complex Networks Analysis of Commuting in COMPLEXITY AND SPATIAL NETWORKS
  • JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "affiliation": [
          {
            "affiliation": {
              "id": "https://www.grid.ac/institutes/grid.462365.0", 
              "type": "Organization"
            }, 
            "isCurrent": true, 
            "type": "OrganizationRole"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.7763.5", 
            "type": "Organization"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.7841.a", 
            "type": "Organization"
          }
        ], 
        "familyName": "Chessa", 
        "givenName": "Alessandro", 
        "id": "sg:person.0712270104.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712270104.68"
        ], 
        "sdDataset": "persons", 
        "sdDatePublished": "2019-03-07T13:14", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-researchers-20181010/20181011/dim_researchers/base/researchers_1049.json", 
        "type": "Person"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/person.0712270104.68'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.0712270104.68'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.0712270104.68'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.0712270104.68'


     




    Preview window. Press ESC to close (or click here)


    ...