Results 11 to 20 of about 1,660,780 (281)

Fine-Scale Coral Connectivity Pathways in the Florida Reef Tract: Implications for Conservation and Restoration

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, Antoine Saint-Amand, Matthieu Le Hénaff, Matthieu Le Hénaff, Joana Figueiredo, Alyson Kuba, Brian Walker, Jonathan Lambrechts, Valentin Vallaeys, David Vincent, Emmanuel Hanert, Emmanuel Hanert   +11 more
doaj   +1 more source

Network-Based Discovery of Opioid Use Vulnerability in Rats Using the Bayesian Stochastic Block Model

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, Brittany N. Kuhn, Nazzareno Cannella, Ayteria D. Crow, Analyse T. Roberts, Veronica Lunerti, Massimo Ubaldi, Gary Hardiman, Leah C. Solberg Woods, Roberto Ciccocioppo, Peter W. Kalivas, Dongjun Chung   +11 more
doaj   +1 more source

A shadowing problem in the detection of overlapping communities: lifting the resolution limit through a cascading procedure [PDF]

, 2015
Community detection is the process of assigning nodes and links in significant communities (e.g. clusters, function modules) and its development has led to a better understanding of complex networks.
A Allard, A Lancichinetti, A Lancichinetti, Antoine Allard, B Karrer, D Hric, D Watts, G Palla, H Wen, I Derényi, I Farkas, J Xie, J Yang, Jean-Gabriel Young, JM Kumpula, L Hébert-Dufresne, L Hébert-Dufresne, Laurent Hébert-Dufresne, Louis J. Dubé, M Bastian, M Boguñá, M Girvan, M Newman, M Newman, M Ripeanu, M Rosvall, R Guimera, S Fortunato, S Fortunato, Satoru Hayasaka, T Kawamoto, TP Peixoto, TS Evans, VA Traag, Y Ahn   +34 more
core   +5 more sources

Detecting image communities

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, Ozkan, Savas, Atil, Ilkay, Arabaci, Mehmet Ali, Tankiz, Seda   +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, Pengyi Ning, Runhua Cao, Jiwei Xu   +3 more
doaj   +1 more source

Image community detection

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, Ozkan, Savas, Atil, Ilkay, Arabaci, Mehmet Ali, Tankiz, Seda   +4 more
openaire   +2 more sources

Bayesian Community Detection

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

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, Mucha, Peter J., Niethammer, Marc, Stanley, Natalie   +3 more
core   +3 more sources

Research on the Community Number Evolution Model of Public Opinion Based on Stochastic Competitive Learning

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, Yijun Gu, Dechun Yin, Tianyu Xia, Jingya Wang   +4 more
doaj   +1 more source

Estimating Mixed Memberships in Directed Networks by Spectral Clustering

Entropy, 2023
Community detection is an important and powerful way to understand the latent structure of complex networks in social network analysis. This paper considers the problem of estimating community memberships of nodes in a directed network, where a node may ...
Huan Qing
doaj   +1 more source