Results 41 to 50 of about 180,895 (263)
Northeast Journal of Complex Systems, 2021 Here we present the entropic dynamics formalism for networks. That is, a framework for the dynamics of graphs meant to represent a network derived from the principle of maximum entropy and the rate of transition is obtained taking into account the ...
Felipe Xavier Costa, Pedro Pessoa
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A Random Graph Model for Massive Graphs [PDF]
Proceedings of the thirty-second annual ACM symposium on Theory of computing, 2000 We propose a random graph model which is a special case of sparse random graphs with given degree sequences. This model involves only a small number of parameters, called logsize and log-log growth rate. These parameters capture some universal characteristics of massive graphs.
William Aiello +2 more
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Modelling, 2023 Social media significantly influences business, politics, and society. Easy access and interaction among users allow information to spread rapidly across social networks.
Sergei Sidorov +2 more
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The Annals of Mathematical Statistics, 1959 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Generating Realistic Labelled, Weighted Random Graphs
Algorithms, 2015 Generative algorithms for random graphs have yielded insights into the structure and evolution of real-world networks. Most networks exhibit a well-known set of properties, such as heavy-tailed degree distributions, clustering and community formation ...
Michael Charles Davis +5 more
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On the Spread of Random Graphs
Combinatorics, Probability and Computing, 2014 The spread of a connected graph G was introduced by Alon, Boppana and Spencer [1], and measures how tightly connected the graph is. It is defined as the maximum over all Lipschitz functions f on V(G) of the variance of f(X) when X is uniformly distributed on V(G).
Addario-Berry, L +2 more
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FEBS Letters, EarlyView.In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
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Bounding Extremal Degrees of Edge-Independent Random Graphs Using Relative Entropy
Entropy, 2016 Edge-independent random graphs are a model of random graphs in which each potential edge appears independently with an individual probability. Based on the relative entropy method, we determine the upper and lower bounds for the extremal vertex degrees ...
Yilun Shang
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FEBS Letters, EarlyView.The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson +6 more
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FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source