Results 11 to 20 of about 1,651,191 (277)
Frontiers in Marine Science, 2020 Connectivity between coral reefs is critical to ensure their resilience and persistence against disturbances. It is driven by ocean currents, which often have very complex patterns within reef systems.
Charles Frys +11 more
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Frontiers in Psychiatry, 2021 Opioid use disorder is a psychological condition that affects over 200,000 people per year in the U.S., causing the Centers for Disease Control and Prevention to label the crisis as a rapidly spreading public health epidemic.
Carter Allen +11 more
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Put three and three together: Triangle-driven community detection [PDF]
, 2016 Community detection has arisen as one of the most relevant topics in the field of graph data mining due to its applications in many fields such as biology, social networks, or network traffic analysis.
Brunat Blay, Josep Maria +3 more
core +2 more sources
2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI), 2014 In this work, we propose a novel community detection method that is specifically designed for image communities. We define image community as a coherent subgroup of images within a large set of images. In order to detect image communities, we construct an image graph by utilizing visual affinity between each image pair and then prune most of the links.
Esen, Ersin +4 more
openaire +2 more sources
Analysis of Climate Change Characteristics in Xi’an Based on the Visibility Graph
Frontiers in Physics, 2021 In recent years, the global temperature is continuously rising and has the trend of accelerating. The frequent occurrence of extremely high temperatures and heat waves has caused widespread concern from all walks of life.
Pengtao Zhang +3 more
doaj +1 more source
2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014 In this work, we propose a new method which can detect image communities inside an image set. The proposed method differs from previous works by representing image relations with directed graphs and performing community anaysis on these directed graphs.
Esen, Ersin +4 more
openaire +2 more sources
Compressing networks with super nodes [PDF]
, 2017 Community detection is a commonly used technique for identifying groups in a network based on similarities in connectivity patterns. To facilitate community detection in large networks, we recast the network to be partitioned into a smaller network of ...
Kwitt, Roland +3 more
core +3 more sources
Bayesian Analysis, 2018 We introduce a Bayesian estimator of the underlying class structure in the stochastic block model, when the number of classes is known. The estimator is the posterior mode corresponding to a Dirichlet prior on the class proportions, a generalized Bernoulli prior on the class labels, and a beta prior on the edge probabilities.
Pas, S.L. van der, Vaart, A.W. van der
openaire +4 more sources
Community detection in directed acyclic graphs [PDF]
, 2015 Some temporal networks, most notably citation networks, are naturally represented as directed acyclic graphs (DAGs). To detect communities in DAGs, we propose a modularity for DAGs by defining an appropriate null model (i.e., randomized network ...
Masuda, Naoki +2 more
core +1 more source
IEEE Access, 2020 Human activities are usually collective, so clustering has become an important feature of human behavior. This paper studied the evolution of the community in the process of public opinion propagation so as to put forward a public opinion evolution model
Wenzheng Li +4 more
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