Results 231 to 240 of about 1,651,191 (277)

COMSE: analysis of single-cell RNA-seq data using community detection-based feature selection. [PDF]

BMC Biol
Luo Q, Chen Y, Lan X.
europepmc   +1 more source

Uncertainty in GNN Learning Evaluations: A Comparison between Measures for Quantifying Randomness in GNN Community Detection. [PDF]

Entropy (Basel)
Leeney W, McConville R.
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Application of Community Detection Methods to Identify Emergency General Surgery-Specific Regional Networks.

JAMA Netw Open
Han J, Wan N, Horns JJ, McCrum ML.
europepmc   +1 more source

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Community Detection

2023
Abstract We critically review the application of community detection in archaeology, as well as its potential to be developed on archaeological big data. The challenges in applying community detection algorithms are presented with a reference case study from the Balkans.
Jelena Grujić, Miljana Radivojević
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Community Detection

Proceedings of the 8th ACM Conference on Web Science, 2016
Subgroup analysis and community detection are prominent approaches having been studied in data mining, social network analysis, and web science. Covering cohesive, compositional, and descriptional aspects, these techniques can provide for advanced analytical analysis approaches.
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Homophily Preserving Community Detection

IEEE Transactions on Neural Networks and Learning Systems, 2020
As a fundamental problem in social network analysis, community detection has recently attracted wide attention, accompanied by the output of numerous community detection methods. However, most existing methods are developed by only exploiting link topology, without taking node homophily (i.e., node similarity) into consideration.
Fanghua Ye, Chuan Chen, Zhiyuan Wen, Zibin Zheng, Wuhui Chen, Yuren Zhou   +5 more
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Community Detection with Fuzzy Community Structure

2011 International Conference on Advances in Social Networks Analysis and Mining, 2011
In order to find a cover which allows nodes to be shared among several communities, we propose a simple fuzzy community detection algorithm, which is based on an existing partition detection technique. For the performance of overlapping nodes that makes the partition ambiguous, a new extended modularity is introduced to qualify covers.
Wang, Qinna, Fleury, Eric
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Scalable Overlapping Community Detection

2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2016
Recent advancements in machine learning algorithms have transformed the data analytics domain and provided innovative solutions to inherently difficult problems. However, training models at scale over large data sets remains a daunting challenge. One such problem is the detection of overlapping communities within graphs.
El-Helw, I., Hofman, R., Li, W., Ahn, S., Welling, M., Bal, H.   +5 more
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Network Community Detection

2020
This chapter introduces one of the important technologies of the application layer of network mobile information services, community structure discovery technology. As for the social attributes of mobile information services brought about by human activities, the community exploration methods for different scenarios are given from the perspective of ...
Changjun Jiang, Zhong Li
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Private communication detection

Proceedings of the fifth ACM conference on Security and Privacy in Wireless and Mobile Networks, 2012
Private communication detection (PCD) enables an ordinary network user to discover communication patterns (e.g., call time, length, frequency, and initiator) between two or more private parties. Ordinary users have neither eavesdropping capabilities (e.g., the network may employ strong anonymity measures) nor legal authority (e.g., collection of call ...
Chang-Han Jong, Virgil D. Gligor
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