Skip to content

Latest commit

 

History

History
33 lines (21 loc) · 1.31 KB

README.md

File metadata and controls

33 lines (21 loc) · 1.31 KB
Raw

XMark - A Benchmark for Evaluating Node-Attributed Community Discovery Algorithms

pyversions PyPI version Build Status Coverage Status PyPI download month

Citation

If you use our algorithm please cite the following work:

Citraro, S., & Rossetti, G. (2021). X-Mark: a benchmark for node-attributed community discovery algorithms. Social Network Analysis and Mining, 11(1), 1-14. https://link.springer.com/article/10.1007/s13278-021-00823-2

Installation

In order to install the package just download (or clone) the current project and copy the demon folder in the root of your application.

Alternatively use pip:

sudo pip install xmark

X-Mark is written in python and requires the following package to run:

  • networkx
  • numpy

Execution

An example of execution is in the file "XMark_Example.ipynb"