Interaction behavior prediction method and device based on sequential network mining and electronic equipment

Abstract

The invention provides an interaction behavior prediction method based on sequential network mining, which is comprehensive in communication interaction behavior rule summarization and capable of accurately predicting interaction behaviors, and comprises the following steps: constructing an interaction behavior sequential network according to network communication interaction behavior records; according to a period target parameter and a season target parameter, screening period and season sub-graphs from the time sequence network as nodes, and constructing a sub-graph spanning tree; and according to an attention target parameter, screening out a maximum period season sub-graph from the sub-graph spanning tree, determining a network communication interaction behavior rule, and predicting a network interaction behavior by using the network communication interaction behavior rule. The device comprises a sequential network module, a parameter setting module, a sub-graph spanning tree module, a sub-graph screening module and a behavior prediction module. The electronic equipment comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor to realize the interactive behavior prediction method based on sequential network mining.

Description

technical field [0001] One or more embodiments of this specification relate to the field of network communication technologies, and in particular to a method, device and electronic device for predicting interactive behavior based on time series network mining. Background technique [0002] With the continuous development of Internet network technology, people rely more and more on the Internet for communication and information interaction, and more and more data are transmitted through the Internet network. When a large amount of data is transmitted in the network at the same time, it is easy to cause network congestion, which puts higher requirements on the stability and reliability of the communication network. [0003] In order to solve the problem of network congestion, a better idea is to predict the communication interaction behavior in the network, and selectively allocate more network communication resources to the corresponding users when the user communication inte...

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Problems solved by technology

[0004] In view of this, the purpose of one or more embodiments of this specification is to propose a time-series network mining-based interactive behavior prediction method, device, and electronic equipment to solve the problem of ignoring seasonal characteristics and behavioral attention. Incomplete and inaccurate behavior predictions

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