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networkx / networkx

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Generalized Modularity for Community Detection

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xiaoylu
xiaoylu commented Sep 11, 2018

Is there any way we can integrate the generalized modularity into the current implementation of

networkx.algorithms.community.quality
networkx.algorithms.community.modularity_max

The definition of the generalized modularity is just a simple extension of modularity with one extra \gamma parameter. And it can easily improve the resolution limit of modularity-based community detection.

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dcmocanu / sparse-evolutionary-artificial-neural-networks

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Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

deep-neural-networks sparsity deep-learning scalability randomization neuroevolution deep-learning-algorithms classification evolutionary-algorithms artificial-neural-networks restricted-boltzmann-machine complex-networks deep-learning-papers multi-layer-perceptron generative-models sparse-neural-networks scalable-deep-learning sparse-training sparse-evolutionary-training adaptive-sparse-connectivity
  • Updated Jul 4, 2020
  • Python

lgaalves / school_crime_and_corruption_analysis

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Lectures on "crime and political corruption analysis using data mining, machine learning and complex networks" at the School of Applied Mathematics in the Institute of Mathematics and Computer Science at University of São Paulo

python data-science machine-learning data-mining big-data social-networks scikit-learn jupyter-notebook community-detection networkx web-scraping complex-networks igraph crime-prediction corruption-networks crimonology quantitative-criminology
  • Updated Jul 7, 2019
  • Jupyter Notebook

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