Work

Modeling Information Diffusion in Online Social Networks Using a Modified Firefly Algorithm

Year: 2024

Type: article

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.

Source: Journal of information and organizational sciences

DOI: 10.31341/jios.48.2.5

Authors: Amjad Alloush, Ghaida Rebdawi, Mohammad Saeed Abou Trab

Institutions: Damascus University, Higher Institute for Applied Sciences and Technology

Language: English

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: diamond

Funder: Damascus University

OpenAlex ID: W4405651529

FWCI:

Cites: 23

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Related to: 10