Synchronous cross information propagation analysis method and system based on dynamics

A technology of information dissemination and analysis method, which is applied in the field of dynamic-based synchronous cross-information dissemination analysis method and system, and can solve the problems of ignoring mutual influence between information and ignoring interaction.
CN111460679AActive Publication Date: 2020-07-28COMMUNICATION UNIVERSITY OF CHINA
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
COMMUNICATION UNIVERSITY OF CHINA
Publication Date
2020-07-28

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Abstract

The invention provides a synchronous cross information propagation analysis method and system based on dynamics. The method comprises the following steps: dividing states of network users into three user states, namely a susceptible state, a forwarding state and an immune state; constructing a cross information synchronous propagation kinetic model in which the user changes between different userstates along with propagation of the two pieces of information; and collecting two pieces of information of which the release time interval is smaller than a set value, carrying out user state division on network users of the two pieces of information, inputting a plurality of user states of the two pieces of divided information into the cross information synchronous propagation kinetic model, andpredicting the total number of individuals of different crowds changing along with time. According to the method and the system, the interaction between the two pieces of information is considered.
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Description

technical field

[0001] The present invention relates to the technical field of dynamic system construction of public opinion dissemination, and more specifically, to a method and system for synchronous cross-information dissemination analysis based on dynamics. Background technique

[0002] A public hotspot event on the Internet usually contains multiple pieces of information, and the interaction between information plays an important role in the overall spread of the event. For example, during the 2016 U.S. election, Dan Scavino and Clint Eastwood expressed their support for Trump on Twitter, which helped Trump gain more supporters and jointly promoted the spread of the election. In 2019, the BBC and the British "Guardian" respectively released fake news about the Hong Kong police, which was widely forwarded, which seriously damaged the reputation of these police officers, and through the mutual influence of information, the rumors became more serious. wide spread. Theref...

Claims

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