analyze_graph.py

#Author: Ulya Bayram
#email : ulya.bayram@comu.edu.tr
#
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#
#The content of this project is licensed under the MIT license. 2021 All rights reserved.
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#the following disclaimers.
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#
#These code are writen for a research project, published in OIR. If you use any of them, please cite:

#Ulya Bayram, Runia Roy, Aqil Assalil, Lamia Ben Hiba, 
#"The Unknown Knowns: A Graph-Based Approach for Temporal COVID-19 Literature Mining", 
#Online Information Review (OIR), COVID-19 Special Issue, 2021.
#
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# This code performs simple graph analysis techniques on the previously saved graph
import os
import argparse
import sys
from src.graphClassification import evolution_analyze_semantic_graph as eva

if __name__ == '__main__':

    # First, call the script that reads the processed text files and 
    # extracts nodes and edges, and computes connection weights from each texts to construct a graph

    parser = argparse.ArgumentParser()
    parser.add_argument(
        "--savedir", 
        default="./", 
        type=str, 
        required=False,
        help="Give the directory you want to save the evolution analysis results to.\n Default is the current directory."
    )
    args = parser.parse_args()

    save_dir = args.savedir

    eva.runAllAnalysis(save_dir)

    print('All analysis-worthy data extracted from the graph and saved to your preferred directory.')
    print('Scripts for plotting them are not included here.')