Results 1 to 10 of about 675,663 (120)
Distributed Learning with Sparse Communications by Identification
SIAM Journal on Mathematics of Data Science, 2021 In distributed optimization for large-scale learning, a major performance limitation comes from the communications between the different entities. When computations are performed by workers on local data while a coordinator machine coordinates their updates to minimize a global loss, we present an asynchronous optimization algorithm that efficiently ...
Dmitry Grishchenko +3 more
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FAST COMMUNITY IDENTIFICATION BY HIERARCHICAL GROWTH [PDF]
International Journal of Modern Physics C, 2007 A new method for community identification is proposed which is founded on the analysis of successive neighborhoods, reached through hierarchical growth from a starting vertex, and on the definition of communities as a subgraph whose number of inner connections is larger than outer connections.
Rodrigues, F. A. +2 more
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Efficient Identification of Overlapping Communities [PDF]
, 2005 In this paper, we present an efficient algorithm for finding overlapping communities in social networks. Our algorithm does not rely on the contents of the messages and uses the communication graph only. The knowledge of the structure of the communities is important for the analysis of social behavior and evolution of the society as a whole, as well as
Jeffrey Baumes +2 more
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Impersonation attack identification for secure communication [PDF]
2013 IEEE Globecom Workshops (GC Wkshps), 2013 Security possesses a significant role in wireless communication. While the studies about secure communication are performed through the upper layers, recent trends shift attention to security in physical layer. In this study, we propose a solution about how to identify the impersonation attacks.
Mustafa Harun Yilmaz, Hüseyin Arslan
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Research Community Mining with Topic Identification [PDF]
Tenth International Conference on Information Visualisation (IV'06), 2006 Since research trends can change dynamically, researchers have to keep up with these new trends and undertake new research topics. Therefore, research communities for new research domains are important. In this paper, we propose a method to discover research communities. The key features of our method are a network model of papers and a word assignment
Ryutaro Ichise +2 more
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Local Community Identification in Social Networks [PDF]
2009 International Conference on Advances in Social Network Analysis and Mining, 2009 There has been much recent research on identifying global community structure in networks. However, most existing approaches require complete information of the graph in question, which is impractical for some networks, e.g. the World Wide Web (WWW).
Jiyang Chen +2 more
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Community identification in networks with unbalanced structure
Physical Review E, 2012 Community (module) structure is a common and important property of many types of networks, such as social networks and biological networks. Several classes of algorithms have been proposed for community structure detection and identification, including clustering techniques, modularity optimization, and other methods.
Shuqin, Zhang, Hongyu, Zhao
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Constant community identification in million-scale networks. [PDF]
Soc Netw Anal Min, 2022 Chowdhury A +4 more
europepmc +1 more source
Seed Community Identification Framework for Community Detection over Social Media. [PDF]
Arab J Sci Eng, 2023 Gupta SK, Singh DP, Singh DP.
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Genetic Spectrum of Familial Hypercholesterolaemia in the Malaysian Community: Identification of Pathogenic Gene Variants Using Targeted Next-Generation Sequencing. [PDF]
Int J Mol Sci, 2022 Razman AZ +7 more
europepmc +1 more source