What is it about?
Extreme events in natural life, such as hurricanes, rainstorm and floods, have attracted attention from academia and the public. Event synchrony measurement is an effective method to quantify the correlation of extreme events. In the research of climate functional network, scientists found a situation that extreme events occurred in time cluster. This work is the first time to explore the impact of events in time clustering on synchronization measurement from the perspective of directed networks. Furthermore, we analyze similarities and differences between the precursor event coincidence and the trigger event coincidence, which can provide a basis for selecting appropriate methods in future researches. Mobile data service in communication systems reflect the traffic of information flow transmitted wirelessly. We study the propagation area, influence and spatial aggregation of traffic extreme events in the communication system. The work gives a framework of network modeling to quantify the propagation characteristics of extreme events, which can provide reference for the analysis of extreme events such as rainstorm, drought and others in the climate field.
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Why is it important?
This work is the first time to explore the impact of events in time clustering on synchronization measurement from the perspective of directed networks.
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This page is a summary of: Modeling directed weighted network based on event coincidence analysis and its application on spatial propagation characteristics, Chaos An Interdisciplinary Journal of Nonlinear Science, June 2023, American Institute of Physics, DOI: 10.1063/5.0142001.
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