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The purpose of this project is to construct a ranking metric to evaluate academic papers and researchers using available data in citation network dataset.

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Ranking-of-academic-papers-and-authors

The purpose of this project is to construct a ranking metric to evaluate academic papers and researchers using available data in citation network dataset.

Software requirements

  • python >=3.0
  • Networkx A Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

Development and Testing Environment Used

  • Operating Systems: Ubuntu 18.04
  • Processor: Intel i7 Quad Core
  • RAM: 8 GB DDR3

Usage

  1. Downloading Datasets
    • Download DBLP citation network dataset version 10 from: DBLP_v10
  2. Running the python notebook
    • The notebook will load the data from the respective folders in to pandas dataframe.
    • It will run each model described in the report and stores all the intermediate files.
    • Finally it will generate all the plots and tables given in the report and store them in the output folder.

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Apache

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The purpose of this project is to construct a ranking metric to evaluate academic papers and researchers using available data in citation network dataset.

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