• GenLouvain

  • Referenced in 76 articles [sw13826]
  • Generalized Louvain Method for Community Detection Implemented in MATLAB. This ”generalized Louvain” MATLAB code ... community detection allows the user to define a quality function in terms of a generalized...
  • KeyGraph

  • Referenced in 8 articles [sw24377]
  • KeyGraph-based community detection algorithm for public security intelligence A KeyGraph-based community detection algorithm ... solve the problem of detecting the key persons among communities in the context of public...
  • ESSC

  • Referenced in 7 articles [sw10959]
  • propose and investigate a testing based community detection procedure called Extraction of Statistically Significant Communities...
  • FacetNet

  • Referenced in 15 articles [sw20426]
  • evolutions. In the traditional approach, communities are first detected for each time slice, and then ... this paper, we propose FacetNet for analyzing communities and their evolutions through a robust unified...
  • LabelRankT

  • Referenced in 3 articles [sw20731]
  • LabelRankT: Incremental Community Detection in Dynamic Networks via Label Propagation. An increasingly important challenge ... network analysis is efficient detection and tracking of communities in dynamic networks for which changes ... LabelRankT, an online distributed algorithm for detection of communities in large-scale dynamic networks through ... also improves the quality of the detected communities compared to dynamic detection methods and matches...
  • gSkeletonClu

  • Referenced in 3 articles [sw30861]
  • Structure-Connected Tree Division or Agglomeration. Community detection is an important task for mining ... Many pervious approaches are difficult to detect communities with arbitrary size and shape ... find the optimal parameter ε and detect communities, hubs and outliers in large-scale undirected...
  • Colibri

  • Referenced in 8 articles [sw12043]
  • essential in finding patterns (such as communities) and detecting anomalies. Additionally, it is desirable...
  • SELP

  • Referenced in 3 articles [sw22586]
  • social networks in the real world, community detection approaches should be fast and accurate ... incorporate limited domain knowledge into the community detection model. The main advantage of SELP ... limited supervised information to guide the detection process. The prior information about the labels ... labeled nodes to the unlabeled ones. The communities of each node can be identified after...
  • MOA

  • Referenced in 37 articles [sw11966]
  • community (blog). It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection...
  • improved_spectral_community_detection

  • Referenced in 2 articles [sw34810]
  • Improved spectral community detection in large heterogeneous graphs: This page contains the python code implementing ... spectral community detection algorithm based on a Random Matrix Theory analysis of graph similarity matrices...
  • MultilayerExtraction

  • Referenced in 2 articles [sw34885]
  • fixed group of objects. While community detection has proven to be a useful exploratory technique ... single-layer networks, the development of community detection methods for multilayer networks is still ... directly handles networks with heterogeneous layers where community structure may be different from layer...
  • subgraph2vec

  • Referenced in 3 articles [sw36496]
  • graph classification, clustering, link prediction and community detection. subgraph2vec leverages on local information obtained from...
  • scikit-multilearn

  • Referenced in 3 articles [sw18802]
  • division. It includes graph-based community detection methods that utilize the powerful igraph library...
  • DeCODe

  • Referenced in 2 articles [sw32103]
  • DeCODe: a community-based algorithm for generating high-quality decompositions of optimization problems. Nonconvex optimization ... Herein, a general algorithmic framework entitled Detection of Communities for Optimization ... Decomposition (DeCODe) is presented. DeCODe uses community detection, a concept originating from network theory ... interacting between different ones. The importance of communities in solving problems using decomposition solution methods...
  • MDPCluster

  • Referenced in 1 article [sw32510]
  • MDPCluster: a swarm-based community detection algorithm in large-scale graphs. Social network analysis ... networks. Regarding the importance of communities, community detection is a fundamental step in the study ... typically modeled as large-scale graphs. Detecting communities in such large-scale graphs which generally ... this study. An efficient modularity-based community detection algorithm called MDPCluster is introduced in order...
  • DynComm

  • Referenced in 1 article [sw28442]
  • DynComm R Package -- Dynamic Community Detection for Evolving Networks. Nowadays, the analysis of dynamics ... package, that can be used for community detection and analysis on dynamic networks. The package ... future developed algorithms to deal with community detection in evolving networks. This new package...
  • fcd

  • Referenced in 1 article [sw31980]
  • package fcd: Fused Community Detection. Efficient procedures for community detection in network studies, especially...
  • OpenCV

  • Referenced in 93 articles [sw11376]
  • algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human ... more than 47 thousand people of user community and estimated number of downloads exceeding...
  • PASCAL VOC

  • Referenced in 119 articles [sw36507]
  • workshop. There are five challenges: classification, detection, segmentation, action classification, and person layout. In this ... combined performance. We also analyse the community’s progress through time using the methods...
  • LinkBoost

  • Referenced in 1 article [sw29981]
  • well-known modularity measure used in community detection and minimizing a special case ... more links being predicted within a community than between communities. We design a boosting algorithm...