Title: Study on network marketing service resource allocation based on social media platform

Authors: Miao Wei

Addresses: Department of Economic Management, Jiyuan Vocational and Technical College, Jiyuan 459000, China

Abstract: To overcome the problems of low utilisation rate of network marketing service resources, high loss rate of resources and poor balance of resource allocation in traditional methods, a network marketing service resource allocation method based on social media platform is proposed. A social media platform for network marketing service resource allocation is built and the two-way transmission of resources through the platform is realised. SVM method is adopted to filter invalid and insecure data in social media platform. The PSO algorithm is used to configure the filtered service resources, and the cooperative game method is used to optimise the network marketing service resources, so as to realise the effective allocation of network marketing service resources. Simulation results show that the overall resource utilisation rate of the proposed method is not less than 90%, the maximum resource loss rate is only 1.4%, and the resource allocation is well balanced.

Keywords: social media platform; network marketing; resource allocation; PSO algorithm; game theory.

DOI: 10.1504/IJWBC.2023.134865

International Journal of Web Based Communities, 2023 Vol.19 No.4, pp.244 - 254

Received: 09 Nov 2021
Accepted: 06 May 2022
Published online: 15 Nov 2023 *

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