Influence Maximization for MOOC Learners Using BAT Optimization Algorithm

Kirti Aggarwal and Anuja Arora
Additional contact information
Kirti Aggarwal: Jaypee Institute of Information Technology, India
Anuja Arora: Jaypee Institute of Information Technology, India

International Journal of Fuzzy System Applications (IJFSA), 2022, vol. 11, issue 2, 1-19

Abstract: The Ubiquitous behaviour of MOOCs for online learning has proven its importance specially in the Covid period. These platforms facilitate learners for peer support by communicating through the discussion forum. The communication held among learners is demonstrated through the social network (SN). The objective of this research is to analyse learner’s SN to find the seed of learners that maximizes the influence spread in the SN to handle its multi-objective research paradigm and avoid the influence maximization process of getting stuck in local optima. Henceforth, extensive experiments are performed using SN topological characteristics to build an effective objective function for the influence maximization problem, and BAT optimization algorithm is employed to achieve global optimum results to find out top influence spreader in course communication network. Efficient results have been obtained by the proposed approach which will help MOOC portals for substantial performance identification of influential learners as compared to ego-centric influential learner identification outcome.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJFSA.296588 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jfsa00:v:11:y:2022:i:2:p:1-19

Access Statistics for this article

International Journal of Fuzzy System Applications (IJFSA) is currently edited by Deng-Feng Li

More articles in International Journal of Fuzzy System Applications (IJFSA) from IGI Global
Bibliographic data for series maintained by Journal Editor ().