EconPapers    
Economics at your fingertips  
 

Influence of behavioral adoption preference based on heterogeneous population on multiple weighted networks

Yang Tian, Hui Tian, Yajuan Cui, Xuzhen Zhu and Qimei Cui

Applied Mathematics and Computation, 2023, vol. 446, issue C

Abstract: The study of behavioral propagation is taken more into account intimate heterogeneity on social networks. Meanwhile, with the development of information technology, people present a multiplicity of social ways, i.e., individuals normally receive or spread information on different social networks. More importantly, the behavioral preference of heterogenous population lacks in-depth research on the information propagation. Firstly, a multi-layer network with edge weighted distribution is considered. Then, we build a trapezoid-like and a triangle-like probability functions to represent individual continuous fashion trend (ICFT) and individual fashion passion trend (IFPT) behaviors separately, defining the adoption behavior preference of different population. Furthermore, a generalized edge-based compartmental theory including edge weight, ICFT and IFPT thresholds is proposed to reveal the behavioral preference. Through simulated experiments, decreasing the proportion of sensitive individuals can raise a hybrid phase transition, in which the final adoption size first increases continuously at the first critical value, and then increases discontinuously at the second critical value. Moreover, when the proportion of sensitive individuals is fixed, the strong adoption capacity of individuals can induce a discontinuous phase transition. Contrarily, the weak adoption capacity of individuals can induce a continuous phase transition. Finally, the edge weight and degree heterogeneity can alter the behavioral propagation on social networks.

Keywords: Behavioral propagation; Multiple layered networks; Edge weighted distribution; Population heterogeneity; Behavioral adoption preference (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300323000498
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:446:y:2023:i:c:s0096300323000498

DOI: 10.1016/j.amc.2023.127880

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:apmaco:v:446:y:2023:i:c:s0096300323000498