Results 91 to 100 of about 572,176 (269)
Identifying Influential Nodes in Bipartite Networks Using the Clustering Coefficient
, 2014 The identification of influential nodes in complex network can be very challenging. If the network has a community structure, centrality measures may fail to identify the complete set of influential nodes, as the hubs and other central nodes of the ...
Liebig, J., Rao, A.
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FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
Durer-pentagon-based complex network
The Journal of Engineering, 2016 A novel Durer-pentagon-based complex network was constructed by adding a centre node. The properties of the complex network including the average degree, clustering coefficient, average path length, and fractal dimension were determined.
Rui Hou, Yuejiana Chang, Yuzhou Chang
doaj +1 more source
Small Worlds: Strong Clustering in Wireless Networks
, 2007 Small-worlds represent efficient communication networks that obey two distinguishing characteristics: a high clustering coefficient together with a small characteristic path length.
Brust, Matthias R., Rothkugel, Steffen
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What are the Best Hierarchical Descriptors for Complex Networks?
, 2007 This work reviews several hierarchical measurements of the topology of complex networks and then applies feature selection concepts and methods in order to quantify the relative importance of each measurement with respect to the discrimination between ...
Abe S +11 more
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FEBS Open Bio, EarlyView.ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui +10 more
wiley +1 more source
Graphical representation of genetic code algebra [PDF]
Network Biology, 2023 During the translation process, the genetic code is the nucleotide sequence that determines the amino acid sequence of protein molecules. A codon is a universal triplet of nucleotides that codes for an amino acid. A group G's identity graph is a graph in
Birinchi Kumar Boruah, Tazid Ali
doaj
Global cycle properties in graphs with large minimum clustering coefficient
, 2016 The clustering coefficient of a vertex in a graph is the proportion of neighbours of the vertex that are adjacent. The minimum clustering coefficient of a graph is the smallest clustering coefficient taken over all vertices.
Borchert, Adam +2 more
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FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Convex Isolating Clustering Centrality to Discover the Influential Nodes in Large Scale Networks
IEEE AccessRanking influential nodes within complex networks offers invaluable insights into a wide array of phenomena ranging from disease management to information dissemination and optimal routing in real-time networking applications.
Buran Basha Mohammad +3 more
doaj +1 more source