Results 31 to 40 of about 9,790,052 (309)

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

COMMUNITY DETECTION IN NETWORKS

International Journal of Bifurcation and Chaos, 2010
The problem of community detection is relevant in many disciplines of science. A community is usually defined, in a qualitative way, as a subset of nodes of a network which are more connected among themselves than to the rest of the network. In this article, we introduce a new method for community detection in complex networks.
Dorso, Claudio Oscar, Medus, A. D.
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The art of community detection [PDF]

BioEssays, 2008
AbstractNetworks in nature possess a remarkable amount of structure. Via a series of data‐driven discoveries, the cutting edge of network science has recently progressed from positing that the random graphs of mathematical graph theory might accurately describe real networks to the current viewpoint that networks in nature are highly complex and ...
Gulbahce, Natali, Lehmann, Sune
openaire   +3 more sources

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

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

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

Community detection with colored edges [PDF]

2016 IEEE International Symposium on Information Theory (ISIT), 2016
In this paper, we prove a sharp limit on the community detection problem with colored edges. We assume two equal-sized communities and there are $m$ different types of edges. If two vertices are in the same community, the distribution of edges follows $p_i=α_i\log{n}/n$ for $1\leq i \leq m$, otherwise the distribution of edges is $q_i=β_i\log{n}/n$ for
Narae Ryu, Sae-Young Chung
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Deep Learning for Community Detection: Progress, Challenges and Opportunities [PDF]

International Joint Conference on Artificial Intelligence, 2020
As communities represent similar opinions, similar functions, similar purposes, etc., community detection is an important and extremely useful tool in both scientific inquiry and data analytics.
Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu   +8 more
semanticscholar   +1 more source

Dynamic Communities and their Detection

Acta Cybernetica, 2011
Overlapping community detection has already become an interesting problem in data mining and also a useful technique in applications. This underlines the importance of following the lifetime of communities in real graphs. Palla et al. developed a promising method, and analyzed community evolution on two large databases [23].
András Bóta, Miklós Krész, András Pluhár   +2 more
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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