X Bi, Z Sun, B Hu - Applied Network Science, 2024 - appliednetsci.springeropen.com
15 天前 - … The purpose of this investigation is twofold: to advance methodological approaches in … of mixed graphicalmodel (MGM) and exponentialrandomgraphmodel (ERGM), …
A Blanca, R Gheissari - Probability Theory and Related Fields, 2024 - Springer
20 天前 - … has been significant progress showing the … of a graph that satisfies all the conditions in this theorem is a \(\Delta \)-regular randomgraph (ie, a graph drawn uniformly at random …
MM Hendy, MA Ezzat - International Journal of Numerical Methods for …, 2024 - emerald.com
29 天前 - … The new modeling of thermoelectric MHD has advanced significantly as a result of this work, providing a more thorough and precise tool for forecasting the behavior of these …
32 天前 - … modeling of dyad value increment and decrement, a Partially Separable Temporal Exponential-family RandomGraphModel is … a discussion and potential future developments. …
36 天前 - … modeling. This dissertation introduces a novel methodology for endogenous variable selection in ExponentialRandomGraphModels (… for future advancements in statistical …
Y Li, X Cao, M Wang - Journal of Cleaner Production, 2024 - Elsevier
37 天前 - … and empirically examines them using exponentialrandomgraphmodels. The study finds that … This study contributes to the advancement of the resource-based view theory and …
38 天前 - … Our work brings together recent developments in tractable first-order model counting … We integrate logical constraints and recent advancements in tractable first-order model …
44 天前 - … Statistical Modeling •Exponentialrandomgraphmodels (ERGMs) model the probability of … • Temporal exponentialrandomgraphmodels (TERGMs) extend the ERGM to …
J Yang, L Wu, L Lyu - Information Processing & Management, 2024 - Elsevier
50 天前 - … is necessary to properly appreciate technological advancement and the process of … knowledge, and finally employed ExponentialRandomGraphModels (ERGMs) to analyze …