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ERCIN: Exploring Research Connectivity In Norway

How to run

Applications needed to run this program

  • python3
  • neo4j

Community Modules required (pip for python3)

  • py2neo
  • requests-futures

Ideas:

  • Crawl CRISTIN for authors and scientific publications
  • Insert authors and publications into a Neo4j database
  • Use Neo4j database to visualize and gain knowledge regarding research connectivity in Norway
  • Write paper based on the extracted knowledge

Methods:

  • Crawl CRISTIN using Python3, Requests and Neo4j.
  • Create Python modules for the CRISTIN API's. One for Web Services and another for REST API.
  • Use Web Services module for extracting scientific publications authored by a person.
  • Use REST API module for extracting information about a person and which institution they belong to.

Problems Encountered:

  • Each Web Service API call seem to be rate-limited to 1MB/s.

Authors:

  • Andreas Isnes Nilsen
  • Nikolai Åsen Magnussen

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Exploring Research Connectivity between and within Institutions in Norway

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