Results 21 to 30 of about 3,295,261 (308)
3M_BANTOR: A regression framework for multitask and multisession brain network distance metrics
Brain network analyses have exploded in recent years and hold great potential in helping us understand normal and abnormal brain function. Network science approaches have facilitated these analyses and our understanding of how the brain is structurally ...
Chal E. Tomlinson+3 more
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Communicability in complex networks [PDF]
20 pages, 5 ...
Estrada, E.+2 more
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Ageing of complex networks [PDF]
Many real-world complex networks arise as a result of a competition between growth and rewiring processes. Usually the initial part of the evolution is dominated by growth while the later one rather by rewiring. The initial growth allows the network to reach a certain size while rewiring to optimise its function and topology.
Zdzislaw Burda+2 more
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Background Enforced ATP wasting has been recognized as a promising metabolic engineering strategy to enhance the microbial production of metabolites that are coupled to ATP generation.
Ahmed Zahoor+3 more
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AbstractAmong the many features of natural and man-made complex networks the small-world phenomenon is a relevant and popular one. But, how small is a small-world network and how does it compare to others? Despite its importance, a reliable and comparable quantification of the average pathlength of networks has remained an open challenge over the years.
Gorka Zamora-López, Romain Brasselet
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Centralities in Complex Networks [PDF]
10 pages, 3 figures. Entry for the volume "Statistical and Nonlinear Physics" of the Encyclopedia of Complexity and Systems Science, Chakraborty, Bulbul (Ed.), Springer, 2021 Updated ...
Bovet, Alexandre, Makse, Hernán A.
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Designing complex networks [PDF]
We suggest a new perspective of research towards understanding the relations between structure and dynamics of a complex network: Can we design a network, e.g. by modifying the features of units or interactions, such that it exhibits a desired dynamics?
Memmesheimer, Raoul-Martin, Timme, Marc
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Parallel median consensus clustering in complex networks. [PDF]
We develop an algorithm that finds the consensus among many different clustering solutions of a graph. We formulate the problem as a median set partitioning problem and propose a greedy optimization technique. Unlike other approaches that find median set
Hussain MT+5 more
europepmc +2 more sources
Characterizing partisan political narrative frameworks about COVID-19 on Twitter
The COVID-19 pandemic is a global crisis that has been testing every society and exposing the critical role of local politics in crisis response. In the United States, there has been a strong partisan divide between the Democratic and Republican party’s ...
Elise Jing, Yong-Yeol Ahn
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