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Evaluating importance of nodes in complex networks with local volume information dimension
In this method, the sum of degree of nodes within different distances of central node is calculated.
DVS: Deep Visibility Series and its Application in Construction Cost Index Forecasting
Visibility Graph (VG) algorithm is used for time series forecasting in previous research, but the forecasting effect is not as good as deep learning prediction methods such as methods based on Artificial Neural Network (ANN), Convolutional Neural Network (CNN) and Long Short-Term Memory Network (LSTM).
A modified gravity model based on network efficiency for vital nodes identification in complex networks
In particular, based on the gravity model, a series of improved gravity models are proposed to find vital nodes better in complex networks.
Uncertainty Measurement of Basic Probability Assignment Integrity Based on Approximate Entropy in Evidence Theory
The main contribution of paper is to define the integrity of the basic probability assignment then the approximate entropy of the BPA is proposed to measure the uncertainty of the integrity of the BPA.
