Application of Complex Network Theory to Social Fission Propagation of Games: A Propagation Efficacy Evaluation System Based on Node Centrality and Information Entropy
DOI:
https://doi.org/10.54097/aa66j415Keywords:
Game social fission, Complex network, Node centrality, Information entropyAbstract
Game social fission propagation, as a new type of marketing method, requires a scientific efficacy assessment method. The communication effectiveness assessment system constructed based on complex network theory identifies key communicators through node centrality and quantifies communication diversity using information entropy. Empirical studies show that this evaluation system can effectively predict communication trends and optimise communication strategies. In the Hearthstone Legend new card pack release event, the adoption of this evaluation system increases the number of event participants by 35%, which verifies the practical value of the evaluation method.
Downloads
References
[1] Ngwenyama M K, Gitau M N .Application of back propagation neural network in complex diagnostics and forecasting loss of life of cellulose paper insulation in oil-immersed transformers [J]. Scientific Reports, 2024, 14(1).
[2] Jaskot A. Application of the FDTD Method to the Analysis of Electromagnetic Wave Propagation in Systems with Concrete and Reinforced Concrete [J]. Energies, 2024, 17.
[3] Olenev A A, Kirichek K A, Potekhina E V, et al. Efficiency of application of the computer algebra system in studying the method of mathematical induction [J]. AIP Conference Proceedings, 2024, 2969(1):7.
[4] Xu J, Mo S, Jiang Z. Chen Z. Gui W. Wang H. A novel positive–negative graph convolutional network-based fault diagnosis method with application to complex systems [J]. Neurocomputing, 2024, 600(Oct.1):1.1-1.11.
[5] De Bastiani M, Aimetta A, Bonifetto R, et al. Application of the Polynomial Chaos Expansion to the Uncertainty Propagation in Fault Transients in Nuclear Fusion Reactors: DTT TF Fast Current Discharge [J]. Applied Sciences (2076-3417), 2024, 14(3).
[6] Hu Q, Zhang X D. Fundamental patterns of signal propagation in complex networks [J]. Chaos, 2024, 34(1/3 Pt.1).
[7] Zhou J, Tian L .Design of a Mobile Big Data Processing-Based Sports Health Evaluation System Using Graph Neural Network [J]. IEEE Access, 2024, 12(000):10.
[8] Deng H, Huang H, Alfarraj O, et al. A Visual Transformer and Convolution Neural Network-Based Intelligent Recommender System for e-Commerce Scenes [J]. Journal of Circuits, Systems & Computers, 2024, 33(18).
[9] Ni S, Wu G, Tang L, et al. Evaluation System and Method for Equipment Portrait Indicators in Distribution Network Projects [J]. Procedia Computer Science, 2024, 247(000):10-17.
[10] Shinkevich A, Pokamestov D, Kryukov Y, et al. Evaluation of LDPC codes efficiency in channels with fading [J]. E3S Web of Conferences, 2023, 376(000):9.
[11] Fu S, Wymore M L, Chang T, Qiao D. Continuous user authentication based on context-emphasized behavior profiling [C]//2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC). Vol. 2, IEEE, 2019: 598-603.
[12] Fu S, Wymore M L, Chang T, Qiao D. A novel software system protection scheme based on behavior and context monitoring [J]. International Journal of Systems and Software Security and Protection (IJSSSP), 2019, 10(1): 22-46.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
