Large-scale forecasting of information spreading

Large-scale forecasting of information spreading

Abstract This research proposes a system based on a combination of various components for parallel modelling and forecasting the processes in networks with data assimilation from the real network. The main novelty of this work consists of the assimilation of data for forecasting the processes in soc...

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Bibliographic Details
Main Authors: Oksana Severiukhina, Sergey Kesarev, Klavdiya Bochenina, Alexander Boukhanovsky, Michael H. Lees, Peter M. A. Sloot
Format: Article
Language:English
Published: SpringerOpen 2020-09-01
Series:Journal of Big Data
Subjects:
Agent-based modelling
Model of information spread
Parallel simulation
Forecasting model
Data-driven model
Online Access:http://link.springer.com/article/10.1186/s40537-020-00350-5

Internet

http://link.springer.com/article/10.1186/s40537-020-00350-5

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