Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 1


Published
on

June 16, 2023


Pages

2345-2352


DOI

Article

The Clustering Effect Analysis of College Marxist Theory Network Propagation Based on Ant Colony Intelligent Algorithm


Authors

Li Zheng Affiliation:
Marxist Academy, Chengdu University of Information Technology, Chengdu, 610225, China


Abstract

Marxist ideology is the mainstream ideology of China, and its effective transmission is to consolidate the ideological foundation and soul of the socialist system with Chinese characteristics. The effective transmission of Marxist thought in the new media environment will open up a new road for media development. In the development process of new media, it can work with mainstream ideology as the core. Based on the ant colony intelligence method, this paper discusses the effect of college Marxism theory on the Internet. The model uses an optimization method based on local feasibility and descending order to modify the pheromone of this method. The results show that the improved ant algorithm can efficiently distribute the load in Marx’s theoretical network.


Keywords

Ant colony algorithm, Marxism, Network communication, Clustering effect, Network load, 78M32


Citation

Zheng, L. (2023). The clustering effect analysis of college marxist theory network propagation based on ant colony intelligent algorithm. Applied Mathematics and Nonlinear Sciences, 8(1), 2345–2352. https://doi.org/10.2478/amns.2023.1.00415

Published by: Engineering Journals

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