Title: A method for sharing online assisted teaching resources based on mobile social networks

Authors: Weiwen Feng; YuTong Sun

Addresses: Business School, Jiangsu Vocational College of Electronics and Information, Huai'an, Jiangsu, China ' School of Civil Engineering and Architecture, Huaiyin Institute of Technology, Huai'an, Jiangsu, China

Abstract: In order to solve the problems of high latency and average routing hops in existing teaching resource sharing methods, a new online assisted teaching resource sharing method based on mobile social networks is proposed. Firstly, combining temporal similarity with regional similarity, calculate the total similarity between learners. Secondly, for mobile social networks, the Similarity Louvain algorithm is used to construct communities based on the total similarity between learning. Finally, for learners in the community, sharing online auxiliary teaching resources through a direct meeting mechanism, use improved ant colony algorithm to select the best advanced service provider and share online auxiliary teaching resources. Experimental results show that under different signal-to-noise ratios, the average number of route hops for resource sharing in our method is relatively low, with the highest average number of route hops around 3, and the sharing delay is effectively reduced.

Keywords: mobile social network; online assisted teaching; resource sharing; attribute differences; request historical differences; similarity Louvain algorithm.

DOI: 10.1504/IJCAT.2023.138833

International Journal of Computer Applications in Technology, 2023 Vol.73 No.4, pp.333 - 344

Received: 19 Oct 2023
Accepted: 11 Jan 2024
Published online: 31 May 2024 *

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