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coreattacck's Introduction

COREATTACCK

1. Datasets Download

As the datasets is too large to be uploaded to Github, we transfer them to Google Drive, data_url.

This compressed package contains two directories, cache and datasets.

cache saves the results of our experiments with .xslx format;
datasets saves the datasets used in the experiment;

The directory list should be formed as bellow:

COREATTACK
----cache
----datasets
----the other .py code files

2. Code Files

BasicMethods.py: Some basic definitions and basic methods are defined here;
CoreAttack.py: Functions of COREATTACK, GreedyCOREATTACK, RED, and HDN methods;
NodeCollapse.py: Functions of CKC and HDE methods;
EfficiencyEvaluation.py: Visualization of time consumption.

3. Run Experiments

Requirements:

numpy >= 1.20.3
networkx >= 2.6.3
pandas >= 1.3.4
matplotlib >= 3.5.0
openpyxl >= 3.0.9

Run interface of edge-based methods, including COREATTACK, GreedyCOREATTACK, RED, and HDN:

python CoreAttack.py

Run interface of node-based methods, including CKC and HDE:

python NodeCollapse.py

Visualization of time consumption:

python EfficiencyEvaluation.py

The results will be stored into cache directory.

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