Modularity and community structure in networks
arXiv:physics/0602124 · doi:10.1073/pnas.0601602103
Abstract
Many networks of interest in the sciences, including a variety of social and biological networks, are found to divide naturally into communities or modules. The problem of detecting and characterizing this community structure has attracted considerable recent attention. One of the most sensitive detection methods is optimization of the quality function known as "modularity" over the possible divisions of a network, but direct application of this method using, for instance, simulated annealing is computationally costly. Here we show that the modularity can be reformulated in terms of the eigenvectors of a new characteristic matrix for the network, which we call the modularity matrix, and that this reformulation leads to a spectral algorithm for community detection that returns results of better quality than competing methods in noticeably shorter running times. We demonstrate the algorithm with applications to several network data sets.
7 pages, 3 figures
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- Community Detection Based on the convergence of eigenvectors in DCBM
- Compressive Network Analysis
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- On weakly optimal partitions in modular networks
- A Local Spectral Method for Graphs: with Applications to Improving Graph Partitions and Exploring Data Graphs Locally
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- Triple2Vec: Learning Triple Embeddings from Knowledge Graphs
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- On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching
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- BiMAT: a MATLAB(R) package to facilitate the analysis and visualization of bipartite networks
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- Toward Emerging Topic Detection for Business Intelligence: Predictive Analysis of `Meme' Dynamics
- Understanding complexity via network theory: a gentle introduction
- On the visualization of the detected communities in dynamic networks: A case study of Twitter's network
- Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering
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- A Social Network Analysis of Articles on Social Network Analysis
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- Refining bridge-block decompositions through two-stage and recursive tree partitioning
- Stability of Maximum likelihood based clustering methods: exploring the backbone of classifications (Who is keeping you in that community?)
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- Introduction to Graph Neural Networks for Machine Learning Engineers
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- Riemannian-geometry-based modeling and clustering of network-wide non-stationary time series: The brain-network case
- Spatial Social Network (SSN) Hot Spot Detection: Scan Methods for Non-Planar Networks
- Hidden Community Detection in Social Networks
- Graph Clustering with Density-Cut
- RDSA: A Robust Deep Graph Clustering Framework via Dual Soft Assignment
- Testing Changes in Communities for the Stochastic Block Model
- Modules of human micro-RNA co-target network
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- Dynamic Silos: Increased Modularity in Intra-organizational Communication Networks during the Covid-19 Pandemic
- Ranking of Communities in Multiplex Spatiotemporal Models of Brain Dynamics
- A Feasible Graph Partition Framework for Random Walks Implemented by Parallel Computing in Big Graph
- Deep graph convolution neural network with non-negative matrix factorization for community discovery
- Characterization of the Community Structure of Large-Scale Functional Brain Networks During Ketamine-Medetomidine Anesthetic Induction
- Multiscale modeling of brain network organization
- A Boosting Approach to Learning Graph Representations
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- Environmental versatility promotes modularity in genome-scale metabolic networks
- Sequential locality of graphs and its hypothesis testing
- Spectral embedding of regularized block models
- Network Distance Based on Laplacian Flows on Graphs
- Community Detection in Blockchain Social Networks
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- Early deafness leads to re-shaping of global functional connectivity beyond the auditory cortex
- Leveraging Sociological Models for Predictive Analytics
- How to Maximize the Spread of Social Influence: A Survey
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- Network approach towards understanding the crazing in glassy amorphous polymers
- Hierarchical clustering of bipartite data sets based on the statistical significance of coincidences
- Network topology mapping of Chemical Compounds Space
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- Vec2GC -- A Graph Based Clustering Method for Text Representations
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- Impact of Dynamic Interactions on Multi-Scale Analysis of Community Structure in Networks
- Frustration of signed networks: How does it affect the thermodynamic properties of a system?
- Overlapping community detection in weighted networks
- Continuous-time random walk model of relaxation of two-state systems
- A rough-and-ready cluster-based approach for extracting finite-time coherent sets from sparse and incomplete trajectory data
- Knowledge discovery via multidimensional science maps: the case of the Species Problem
- Overlapping Communities in Complex Networks
- Network Abstractions of Prescription Patterns in a Medicaid Population
- One Node at a Time: Node-Level Network Classification
- Understanding Vulnerability of Communities in Complex Networks
- Reconstruction in the Labeled Stochastic Block Model
- Effect of Perturbation and Topological Structure on Synchronization Dynamics in Multilayer Networks
- Social Influence and Radicalization: A Social Data Analytics Study
- Strategic forecasting of internet of things technologies through patent social network and innovation cluster analysis
- Gumbel-softmax Optimization: A Simple General Framework for Combinatorial Optimization Problems on Graphs
- The Concentration and Stability of the Community Detecting Functions on Random Networks
- Scalable Deep Metric Learning on Attributed Graphs
- Bayesian Modeling of Random Walker for Community Detection in Networks
- Hyperbolic Multiplex Network Embedding with Maps of Random Walk
- Sparse Nonnegative Matrix Factorization for Multiple Local Community Detection
- Quantifying the uneven efficiency benefits of ridesharing market integration
- Detectability threshold in weighted modular networks
- MGA: Momentum Gradient Attack on Network
- Non-backtracking walks reveal compartments in sparse chromatin interaction networks
- Fragility of spectral clustering for networks with an overlapping structure
- Novel Edge and Density Metrics for Link Cohesion
- Application of discrete Ricci curvature in pruning randomly wired neural networks: A case study with chest x-ray classification of COVID-19
- Early Warning Analysis for Social Diffusion Events
- Leaders, Followers, and Community Detection
- Assessing imbalance in signed brain networks
- Hypothesis testing for community structure in temporal networks using e-values
- A High-Performance Evolutionary Multiobjective Community Detection Algorithm
- On -to- norms of random matrices with nonnegative entries: Asymptotic normality and -bounds for the maximizer
- Localized geometry detection in scale-free random graphs
- CALF-SBM: A Covariate-Assisted Latent Factor Stochastic Block Model
- Block-corrected Modularity for Community Detection
- Quantum community detection via deterministic elimination
- Conan: a platform for complex network analysis
- Mixed membership estimation for categorical data with weighted responses
- Bio-inspired Methods for Dynamic Network Analysis in Science Mapping