Modeling_and_Analysis_of_Spatial-Temporal_Relationship_and_Risk_Evolution_of_Emergencies_Based_on_Big_Data_from_Social_Media
Published in 2022 2nd International Signal Processing, Communications and Engineering Management Conference (ISPCEM), 2022
There are many kinds of emergencies in the real world, and there is a close connection between different events. Read more
Recommended citation: S. Ma, P. Li, M. Yang, C. Sun and R. Wang, \"Modeling and Analysis of Spatial-Temporal Relationship and Risk Evolution of Emergencies Based on Big Data from Social Media,\" 2022 2nd International Signal Processing, Communications and Engineering Management Conference (ISPCEM), Montreal, ON, Canada, 2022, pp. 14-18, doi: 10.1109/ISPCEM57418.2022.00009. keywords: {Analytical models;Graphical models;Social networking (online);Statistical analysis;Engineering management;Signal processing;Emergency services;emergencies;emergency chain;data mining;co-occurrence matrix;complex network}, http://ymx10086.github.io/files/Modeling_and_Analysis_of_Spatial-Temporal_Relationship_and_Risk_Evolution_of_Emergencies_Based_on_Big_Data_from_Social_Media.pdf