benedekrozemberczki / awesome-community-detection Goto Github PK

See

• "A Comparative Study of Modularity-BasedCommunity Detection Methods for OnlineSocial Networks"
• "Uncovering Like-minded Political Communities on Twitter"
• "Applying Overlapping Community Detection Based on Data Field Theory For Twitter Audiences Classification"

for example of categorization.

Just an advice :). (I'm in trouble finding the codes in this topic, lol)

Why I can not download the paper about t-PINE: Tensor-based Predictable Node Embeddings 's matlab reference? Can you update it

I use your repo a lot, thanks for it!! :)
Just as a suggestion, it will be better to have tags instead of dividing methods by topics. Because we can have several tags in the same paper.
Tags like overlapping, node-embedding, deep-learning, gcn, tensor-based, nmf, probabilistic, semi-supervised, game-theoretic, survey, metrics, hierarchical, node-attributes, etc.
That would be really helpful I think. I can add the tags to the methods I worked on.
Thanks again for the repo.

Efficient discovery of overlapping communities in massive networks (2013) by P Gopalan and David Blei
Paper: https://www.pnas.org/content/110/36/14534
Implementation(by the author): https://github.com/premgopalan/svinet

Here are some survey papers that lists out Community Detection algorithms

• https://www.semanticscholar.org/paper/Network-Community-Detection-on-Metric-Space-Saha-Ghrera/9487175c52387349da28243e5e78ba56be226b70
• https://www.semanticscholar.org/paper/Improving-Community-Detection-Methods-for-Network-Moradi/48ba86a3d99850181ab7e90b3be0a05ae869330e
• https://www.semanticscholar.org/paper/Various-Approaches-of-Community-Detection-in-A-Mahajan-Kaur/5fdc1fbbd2b758bf654a2d5f68e373ddd3604104
• https://www.semanticscholar.org/paper/Community-Detection-in-Multiplex-Networks-Hanteer-Interdonato/9c2915e1fc26025b6099ab9e9dfac2487692e831
• https://www.semanticscholar.org/paper/Detection-and-analysis-of-overlapping-community-for-Shahriari/013835530c6d8426fd340629f1f3d2ae98d3a860

Just an idea. We can tag the methods by tags like: weighted, directed, overlapping, probabilistic, etc. based on the method. Thanks.

Paper: B. Ball, B. Karrer, M.E.J. Newman, "Efficient and principled method for detecting communities in networks", Phys. Rev. E 84 (2011)
C++ implementation by the author: http://www.personal.umich.edu/~mejn/OverlappingLinkCommunities.zip