https://github.com/hpai-bsc/fluid-communities

Fluid Communities: A community detection algorithm
https://github.com/hpai-bsc/fluid-communities

algorithm community-detection complex-networks fluid-communities graph python-2

Last synced: 2 months ago
JSON representation

Fluid Communities: A community detection algorithm

• Host: GitHub
• URL: https://github.com/hpai-bsc/fluid-communities
• Owner: HPAI-BSC
• License: bsd-3-clause
• Created: 2017-03-28T13:16:19.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2019-07-02T16:06:32.000Z (almost 6 years ago)
• Last Synced: 2025-03-23T18:38:52.471Z (3 months ago)
• Topics: algorithm, community-detection, complex-networks, fluid-communities, graph, python-2
• Language: Python
• Homepage: https://arxiv.org/abs/1703.09307
• Size: 7.81 KB
• Stars: 16
• Watchers: 4
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Fluid-Communities

Fluid Communities (FluidC) is a novel community detection algorithm based on the simple idea of fluids interacting in an environment, expanding and contracting. It is propagation-based algorithm but, up to our knowledge, it is the first of its kind that allow to specify the number of desired communities (k). Check out our paper "Fluid Communities: A Community Detection Algorithm" [https://arxiv.org/abs/1703.09307] for more details.

Right now, FluidC is implemented in Python and it works with Networkx graph objects [https://github.com/networkx/networkx]. However, we are planning on developing an additional implementation in C++ to allow the usage of FluidC under the python-igraph library.