Sharif University of Technology Scientia Iranica 1026-3098 Articles in Press 2023 11 20 The effect of network structure on the opinion-aware influence maximization problem 23406 10.24200/sci.2023.61518.7352 EN Mohammad Sadeghi Hamedani Department of Management, Economy and Progress Engineering, Iran University of Science and Technology, Tehran , Iran Mehrdad Agha Mohammad Ali Kermani Department of Management, Economy and Progress Engineering, Iran University of Science and Technology, Tehran , Iran Alireza Aliahmadi Department of Management, Economy and Progress Engineering, Iran University of Science and Technology, Tehran, Iran Journal Article 2022 12 03 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. https://scientiairanica.sharif.edu/article_23406_4456683600978dc455edaea5c9acf981.pdf