The problem of influence maximization is finding the best nodes at the beginning of the diffusion process to maximize the affected nodes at the end. Although there has been a great deal of modeling in this area, no studies have examined how network structure, size, and seed nodes affect these models. The present study has investigated this issue by designing and conducting an experiment. Erdos-Renyi, small-world ,and scale free networks with different sizes are examined in this work. Additionally, the variation between these structures and the number of seed nodes in the OAIM problem's output has been statistically examined for 1440 networks. As a result, while confirming the effect of network structure and size on the success of promoting an opinion in the network, recommendations have been provided for the message sent by the beneficiary in the OAIM problem.
Sadeghi Hamedani,M , Agha Mohammad Ali Kermani,M and Aliahmadi,A . (2023). The effect of network structure on the opinion-aware influence maximization problem. (e23406). Scientia Iranica, (), e23406 doi: 10.24200/sci.2023.61518.7352
MLA
Sadeghi Hamedani,M , , Agha Mohammad Ali Kermani,M , and Aliahmadi,A . "The effect of network structure on the opinion-aware influence maximization problem" .e23406 , Scientia Iranica, , , 2023, e23406. doi: 10.24200/sci.2023.61518.7352
HARVARD
Sadeghi Hamedani M, Agha Mohammad Ali Kermani M, Aliahmadi A. (2023). 'The effect of network structure on the opinion-aware influence maximization problem', Scientia Iranica, (), e23406. doi: 10.24200/sci.2023.61518.7352
CHICAGO
M Sadeghi Hamedani, M Agha Mohammad Ali Kermani and A Aliahmadi, "The effect of network structure on the opinion-aware influence maximization problem," Scientia Iranica, (2023): e23406, doi: 10.24200/sci.2023.61518.7352
VANCOUVER
Sadeghi Hamedani M, Agha Mohammad Ali Kermani M, Aliahmadi A. The effect of network structure on the opinion-aware influence maximization problem. Scientia Iranica. 2023;():e23406. doi: 10.24200/sci.2023.61518.7352
