Original scientific paper
https://doi.org/10.31341/jios.48.2.5
Modeling Information Diffusion in Online Social Networks Using a Modified Firefly Algorithm
Amjad Alloush
; Faculty of Informatics and Engineering, University of Damascus, Damascus, Syria
Ghaida Rebdawi
; Faculty of Organization and Informatics, Higher Institute for Applied Sciences and Technology, Damascus, Syria
Mohammad Saeed Abou Trab
; Faculty of Informatics and Engineering, University of Damascus, Damascus, Syria
Abstract
The dynamics and patterns of information propagation on online social networks are complex and challenging to model and to predict. This study proposes a novel algorithm for simulating the spread of information on online social networks using a swarm-based approach. The algorithm is based on the firefly algorithm, which incorporates a new term called Vantablack to represent the non-spreader nodes in the network. The proposed algorithm is validated on three real-world datasets extracted from Kaggle.com, covering different topics and domains. The proposed algorithm outperforms other baseline methods in terms of accuracy and efficiency in predicting information diffusion.
Keywords
social media; information dissemination; swarm intelligence; firefly model; Vantablack
Hrčak ID:
326608
URI
Publication date:
18.12.2024.
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