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Account Credibility Inference

This repository contains code to reproduce the results in the paper "Account credibility inference based on news sharing networks" by Bao Tran Truong, Oliver Melbourne Allen, Filippo Menczer.

Project organization:

  1. data: contains raw & derived datasets
  2. example: minimal example
  3. libs: main module for the project
  4. paper: experiment results and .ipynb noteboooks to reproduce figures
  5. workflow: workflow files (Snakemake rules) and scripts

Install

  • This code is written and tested with Python=3.8.16
  • We use conda, a package manager to manage the development environment. Please make sure you have conda or mamba installed on your machine

Using Make (recommended)

To set up the environment and install the model: run make from the project directory (credibility-inference)

Using Conda

  1. Create the environment with required packages: run conda env create -n credinference -f environment.yml to
  2. Install the credinference package for the module imports to work correctly:
    • activate virtualenv: conda activate credinference
    • run pip install -e ./libs/ --- this use the "editable" option to install the package that does not require reinstallation if changes are made upstream.