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FTLTM: Fine Tuned Linear Threshold Model for gauging of influential user in complex networks for information diffusion

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Abstract

In recent days mobile network platforms enables communication among a wide range of people especially, sharing multimedia contents such as text, image, video, and audio to larger scale of users. This data sharing is intriguing, and it would reach a wider audience if a powerful individual shared it. However, locating influential users in a complex network is very difficult task. Traditional approaches for influential user selections are not so effective in spreading information on a big scale in a shorter period of time. To address these issues, this paper proposes a Fine-Tuned Linear Threshold Model (FTLTM) for influential user selection and monitoring in a complex network. The random selection of initial threshold “q” for each inactive node at the time “t” and the weighted edge between an inactive node and active node at time “t − 1” is fine-tuned based on various network centrality measures. The experimental results are proven that the proposed FTLTM method brings better output in the influential user’s selection, monitoring, and spread of information in a large-scale network. Various real-time applications like raising awareness of an epidemic, marketing to promote a product are major applications of this proposed work.

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The dataset used in this article available in online and the link is provided in the reference sections.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Puducherry, Karaikal, India

    P. Kumaran

  2. Department of Computer Science and Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli, India

    Rajeswari Sridhar

  3. Department of Mathematics, K. Ramakrishnan College of Engineering, Tiruchirappalli, India

    S. Muthuperumal

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  1. P. Kumaran
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  2. Rajeswari Sridhar
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  3. S. Muthuperumal
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Correspondence to P. Kumaran.

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All authors have participated in (a) conception and design, or analysis and interpretation of the data; (b) drafting the article or revising it critically for important intellectual content; and (c) approval of the final version. This manuscript has not been submitted to, nor is under review at, another journal or other publishing venue. The authors have no affiliation with any organization with a direct or indirect financial interest in the subject matter discussed in the manuscript.

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Kumaran, P., Sridhar, R. & Muthuperumal, S. FTLTM: Fine Tuned Linear Threshold Model for gauging of influential user in complex networks for information diffusion. Int. j. inf. tecnol. 15, 3593–3604 (2023). https://doi.org/10.1007/s41870-023-01387-4

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  • DOI: https://doi.org/10.1007/s41870-023-01387-4

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