Discrete curvatures and network analysis
WebOct 1, 2024 · Top-five 1-week predictive models for new department-level hospital admissions and deaths with the lowest mean average error using network analytics or incidence (’dc’ for death and ’hosp’ for hospital admission) of the top-10 colocated departments as regressors (numbers in subscripts). Web2 Discrete curvatures from nets of curvature lines In order to motivate our definition of discrete curvatures for nets of curvature lines, we recall some important notions of curvature for polygonal curves and polyhedral surfaces. For a similar discussion, we refer toSullivan(2008). 2.1 Discrete curvatures of “Steiner-type”
Discrete curvatures and network analysis
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WebOct 17, 2024 · Discrete Curvatures and Network Analysis Article Jun 2024 MATCH-COMMUN MATH CO Emil Saucan Areejit Samal Melanie Weber Jürgen Jost View Show abstract Dense Power-law Networks and Simplicial... WebNov 3, 2024 · Discrete Curvature and Machine Learning on Graphs. Nov 3, 2024. Complex Networks are popular means for studying a wide variety of systems across the …
WebThis book provides a valuable glimpse into discrete curvature, a rich new field of research which blends discrete mathematics, differential geometry, probability and computer graphics. It includes a vast collection of ideas … WebFeb 24, 2024 · The discrete Ricci curvatures are computed from the threshold networks. In figure 1f, we show the evolution of the discrete curvatures in threshold networks over …
WebMay 4, 2024 · Discrete Ollivier–Ricci curvature has been used successfully to forecast risk in financial networks and we suggest that those results can provide analogous results for … WebSep 15, 2024 · Network analysis has placed special emphasis on properties of nodes. Since networks, represented by graphs, are widely used to model discrete systems …
WebApr 6, 2024 · Discrete Ollivier-Ricci curvature has been used successfully to forecast risk in financial networks and we suggest that those results can provide analogous results for COVID-19 epidemic time-series. We first compute both curvatures in a toy-model of epidemic time-series with delays, which allows us to create epidemic networks.
WebAug 12, 2016 · It surveys the fascinating connections between discrete models in differential geometry and complex analysis, integrable systems and applications in computer graphics. The authors take a closer... tebex unbanWebDiscrete Geometry and Machine Learning on Graphs Complex Networks are popular means for studying a wide variety of systems across the social and natural sciences. In a … tebex tdaWebInvestigation of this edge-centric network measure, Forman–Ricci curvature, in diverse model and real-world undirected networks revealed that the curvature measure captures several aspects of the organization of undirected complex networks. tebex trap rpWebJun 8, 2024 · We describe an approach to the analysis of chemical (and other) networks that, in contrast to other schemes, is based on edges rather than vertices, naturally … tebex setupWebDiscrete Cur- vatures in DDG are analogies of curvatures in classic di erential geometry. Whereas the curvatures of smooth manifolds (surfaces) are uniquely de ned, there have been various kinds of de nitions of discrete curvatures based on di erent applications and mathematical tools, see for example [16, 17, 18, 19, 14, 20, 21, 22, 23, 24, 25]. tebex safeWebJan 1, 2024 · We present the application of topological data analysis (TDA) to study unweighted complex networks via their persistent homology. By endowing appropriate … tebeyWebMay 4, 2024 · Discrete Ollivier–Ricci curvature has been used successfully to forecast risk in financial networks and we suggest that those results can provide analogous results for COVID-19 epidemic time-series. We first compute both curvatures in a toy-model of epidemic time-series with delays, which allows us to create epidemic networks. tebey sudbury