Article: Analysis of English learning community interaction patterns in social networks based on knowledge graphs Journal: International Journal of Information and Communication Technology (IJICT) 2025 Vol.26 No.3 pp.110 - 124 Abstract: Particularly with regard to language acquisition, the fast expansion of information technology has made social networks a major venue for modern education. Social media give students a virtual space where they may interact, network, and exchange information. English learners support one another, share experiences, and locate fresh materials by means of social media. Still, some students acquire more knowledge or help based on their social network position and connection frequency. This work addresses this problem by analysing English learning community social network interaction patterns with knowledge mapping. This study illustrates learners' social network and knowledge distribution roles using a knowledge graph. This paper also assesses learners' network impact using centrality measures and information flow efficiency. The experimental results show that information diffusion and learning efficacy increase in centred and more involved learners. This study assists to maximise learning strategies and community effectiveness. Inderscience Publishers - linking academia, business and industry through research

Title: Analysis of English learning community interaction patterns in social networks based on knowledge graphs

Authors: Shujie Xiao

Addresses: School of Language and Culture, Anyang Preschool Education College, Anyang 456150, China

Abstract: Particularly with regard to language acquisition, the fast expansion of information technology has made social networks a major venue for modern education. Social media give students a virtual space where they may interact, network, and exchange information. English learners support one another, share experiences, and locate fresh materials by means of social media. Still, some students acquire more knowledge or help based on their social network position and connection frequency. This work addresses this problem by analysing English learning community social network interaction patterns with knowledge mapping. This study illustrates learners' social network and knowledge distribution roles using a knowledge graph. This paper also assesses learners' network impact using centrality measures and information flow efficiency. The experimental results show that information diffusion and learning efficacy increase in centred and more involved learners. This study assists to maximise learning strategies and community effectiveness.

Keywords: social networks; knowledge graph; English learning communities; interaction patterns.

DOI: 10.1504/IJICT.2025.144462

International Journal of Information and Communication Technology, 2025 Vol.26 No.3, pp.110 - 124

Received: 08 Dec 2024
Accepted: 18 Dec 2024
Published online: 13 Feb 2025 *

Title: Analysis of English learning community interaction patterns in social networks based on knowledge graphs

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