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graph-minning's Introduction

Cmpe256_01

<-- Link Prediction -->

  • Please find the README.md in Cmpe256/Edge_Link_Prediction_Algos/ for detailed explanation on executing the source code

<-- Community Detection -->

Pre-requisite for Coding and visualization using Jupyter notebook

  • python3
  • matplitlib
  • numpy
  • networkx
  • community
  • python-louvain
  • maths
  • sys
  • warnings
  • jupyter-notebook

Pre-requisite for Visualization using GEPHI

  • Gephi tool installation
  • Supported version of Java (Java 8 is recommended)
  • Setup of requierd JAVA_PATH in the system variable
  • Enabling the GPU is recommended (if available)

Running source code

  • Open the CMPE_256_Graph_parameters_Calculation_and_Evaluation.ipynb and run the cells to obtain various evaluation metrics on the graph dataset.
  • Open the Community detection using Girvan Newman Algorithm Full.ipynb notebook in jupyter and execute cell by cell to verify the community detection results

graph-minning's People

Contributors

abhi32dev avatar akshayghodke avatar

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