• LabelRankT

  • Referenced in 3 articles [sw20731]
  • LabelRankT: Incremental Community Detection in Dynamic Networks via Label Propagation. An increasingly important challenge ... analysis is efficient detection and tracking of communities in dynamic networks for which changes arrive ... distributed algorithm for detection of communities in large-scale dynamic networks through stabilized label propagation ... communities compared to dynamic detection methods and matches the quality achieved by static detection approaches...
  • gSkeletonClu

  • Referenced in 3 articles [sw30861]
  • Density-Based Network Clustering via Structure-Connected Tree Division or Agglomeration. Community detection ... function of complex networks. Many pervious approaches are difficult to detect communities with arbitrary size ... based network clustering algorithm, called gSkeletonClu (graph-skeleton based clustering). By projecting a network ... detect communities, hubs and outliers in large-scale undirected networks automatically without any user interaction...
  • MultilayerExtraction

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

  • Referenced in 1 article [sw28442]
  • DynComm R Package -- Dynamic Community Detection for Evolving Networks. Nowadays, the analysis of dynamics ... represents a great deal in the Social Network Analysis research area. To support students, teachers ... used for community detection and analysis on dynamic networks. The package introduces interfaces to facilitate ... developed algorithms to deal with community detection in evolving networks. This new package...
  • SELP

  • Referenced in 3 articles [sw22586]
  • increasing size of social networks in the real world, community detection approaches should be fast ... advantage of the prior information about the network structure which is very common in real ... incorporate limited domain knowledge into the community detection model. The main advantage of SELP...
  • fcd

  • Referenced in 1 article [sw31980]
  • community detection in network studies, especially for sparse networks with not very obvious community structure...
  • MDPCluster

  • Referenced in 1 article [sw32510]
  • swarm-based community detection algorithm in large-scale graphs. Social network analysis has become ... computer science. Similarities among individuals form communities as the basic ... constitutions of social networks. Regarding the importance of communities, community detection is a fundamental step ... study of social networks typically modeled as large-scale graphs. Detecting communities in such large...
  • DeCODe

  • Referenced in 2 articles [sw32103]
  • presented. DeCODe uses community detection, a concept originating from network theory, to generate optimization subproblems ... interacting between different ones. The importance of communities in solving problems using decomposition solution methods...
  • FacetNet

  • Referenced in 15 articles [sw20426]
  • individuals’ roles and social status in the network as well as changes to individuals’ research ... analyze community evolutions. In the traditional approach, communities are first detected for each time slice...
  • ESSC

  • Referenced in 7 articles [sw10959]
  • given network into one or more groups, called communities, in such a way that vertices ... same community are more interconnected than vertices belonging to different ones ... propose and investigate a testing based community detection procedure called Extraction of Statistically Significant Communities ... reference distribution derived from a conditional configuration network model. The procedure automatically selects both...
  • NetzCope

  • Referenced in 1 article [sw20356]
  • structural similarity, and the detection and visualization of network communities by modularity maximization...
  • modMax

  • Referenced in 1 article [sw17702]
  • here are used to detect the community structure of a network. These algorithms follow different...
  • PaNDa+

  • Referenced in 1 article [sw28423]
  • exploited PaNDa+ to detect overlapping communities in a bipartite network. The results show that PaNDa...
  • SpringVisCom

  • Referenced in 1 article [sw34807]
  • produces network layouts emphasising pre-specified community structure (e.g. obtained using a community detection algorithm...
  • Colibri

  • Referenced in 8 articles [sw12043]
  • essential in finding patterns (such as communities) and detecting anomalies. Additionally, it is desirable ... evaluation on a large, real network traffic dataset shows that Colibri-D is over...
  • POISED

  • Referenced in 1 article [sw30723]
  • spam and malicious content. Existing techniques for detecting spam include predicting the trustworthiness of accounts ... networks bring people who have personal connections or share common interests to form communities ... messages, based on the interests of those communities. Spam and other malicious content ... spam detection systems that have been proposed by the research community in the past. POISED...
  • MMDetection

  • Referenced in 4 articles [sw30737]
  • network models. We believe this toolbox is by far the most complete detection toolbox ... benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing...
  • MulVAL

  • Referenced in 7 articles [sw17743]
  • reporting community. Second, the analysis must be able to scale to networks with thousands ... conducts multihost, multistage vulnerability analysis on a network. MulVAL adopts Datalog as the modeling language ... analysis can be performed in seconds for networks with thousands of machines. We implemented ... real network with hundreds of users. The tool detected a policy violation caused by software...
  • LinkBoost

  • Referenced in 1 article [sw29981]
  • explicitly identify the communities in a network. Specifically, a variable-cost loss function is defined ... well-known modularity measure used in community detection and minimizing a special case ... links being predicted within a community than between communities. We design a boosting algorithm ... scale-up the algorithm by decomposing the network into smaller partitions and aggregating the weak...
  • FraudDroid

  • Referenced in 1 article [sw33525]
  • research community. We then propose, FraudDroid, a novel hybrid approach to detect ad frauds ... transition graphs and collects their associated runtime network traffics, which are then leveraged to check...