User communication behavior analysis and model simulation system based on double-layer network

Abstract

The invention discloses a user communication behavior analysis and model simulation system based on a double-layer network. The system includes a network structure and feature analysis module, a communication data analysis module based on social attributes, a communication behavior model simulation module based on a double-layer network, and simulation effects Assessment modules as well as help modules. The behavior analysis and simulation system uses the network structure analysis module and the communication data analysis module to visually display the user's network topology characteristics and communication behavior dynamic characteristics, and is used to study and analyze the behavior dynamic mechanism under the double-layer network. Computational speed and analytical power. The system embeds a communication behavior simulation model based on a double-layer network, simulates communication behavior in different situations by setting parameters, and provides a simulation effect evaluation module to compare simulation results with empirical data and calculate errors, which can be observed intuitively and efficiently The accuracy of the model and adjustments are made to improve the autonomy and intelligence of modeling and simulation.

Description

technical field [0001] The invention relates to a user communication behavior analysis and model simulation system based on a double-layer network, belonging to the technical field of human behavior analysis modeling and computer simulation. Background technique [0002] With the development of information technology and big data analysis, especially the popularization of communication behavior, it is feasible to study the time law of human interaction behavior and the dynamic mechanism behind it. Research on the statistical laws and dynamic modeling of human communication behavior can better help people understand the driving factors of human behavior, and generate application value in information recommendation, public opinion monitoring, etc. [0003] The existing communication behavior analysis and dynamic mechanism research only explored the user's communication data, established the OV model, task queue model, etc., and achieved certain research results, but did not co...

AI Technical Summary

Problems solved by technology

The data in Matlab software is stored in the form of a matrix, the data format is single, the flexibility is low, and it consumes a lot of memory space, and it is impossible to perform large-scale cyclic calculations, and it is prone to "Out of Memory" phenomenon

[0006] (2) Slow operation speed

Matlab is an explanatory language. At the same time, because the basic type of its variables is a matrix, it takes a long time to perform operations such as traversal on matrix elements. The operation time is exponentially related to the number of cycles, and the calculation speed of large-scale cycles is extremely slow.

[0007] (3) Interface design lacks rationality

Matlab lacks progress prompt information. For programs that run for a long time, users cannot know the current completion status and the required waiting time. They can only know the running progress of the program by forcibly stopping the program, and cannot continue to execute

[0008] (4) Lack of targeted tool modules

Since Matlab is not a software specially used to analyze behavior rules and build dynamic models, it cannot provide targeted methods for network structure, behavior data analysis or dynamic model simulation, so researchers need to write their own codes for data analysis and construction. imitate the real

[0009] The above situation, to a certain extent, hinders the discovery of human interaction behavior rules and the study of dynamic mechanisms.

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