Title: Multi-objective perception model for diffusion of information in social networks

Authors: Niloofar Mozafari; Ali Hamzeh; Sattar Hashemi

Addresses: Department of Computer Science and Engineering and Information Technology, School of Electrical Computer Engineering, Zand Avenue, Shiraz University, Iran ' Department of Computer Science and Engineering and Information Technology, School of Electrical Computer Engineering, Zand Avenue, Shiraz University, Iran ' Department of Computer Science and Engineering and Information Technology, School of Electrical Computer Engineering, Zand Avenue, Shiraz University, Iran

Abstract: Social networks have recently become important tools for sharing and exchanging data. They facilitate the rapid propagation and dissemination of information. Therefore, it is essential to provide means for analysing the phenomenon of diffusion in such networks. One of the most important components of a diffusion model is information perception which determines who each node receives its information from. Previous researches assumed the information perception to be based on a single objective, whereas in reality, there exist other objectives that affects the people's decision for selecting the neighbour who would supply information, which might conflict with each other, and modelling diffusion process with respect to a single objective can give rise to unacceptable results with respect to the other objectives. This paper presents a novel multi-objective perception model for diffusion of information, which is abbreviated as MOPDI. Considering different objectives simultaneously significantly enhances the proposed information diffusion model.

Keywords: social networks; information diffusion; multi-objective; trust; amount of information; number of information topics; variety of information; modularity.

DOI: 10.1504/IJDMMM.2017.086567

International Journal of Data Mining, Modelling and Management, 2017 Vol.9 No.3, pp.249 - 273

Available online: 08 Sep 2017 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article