Exploring a Multi-Layer Coupled Network Propagation Model Based on Information Diffusion and Bounded Trust

Abstract

Objective: To explore the law of opinion dissemination and individual opinion evolution at the micro level, this paper analyzes the influence of variation and oyster on communication from the perspective of network structure.Methods: In this paper, we introduce the concepts of “variation” and “oyster”, build a multi-layer coupled network environment combined with the ISOVR model, and conduct simulation experiments of network information dissemination based on the bounded trust model.Results: The experimental results reveal that the extent and scope of variation’s spread in the network are more dependent on the trust of nodes themselves, and decreasing the trust of nodes significantly reduces the rate and peak value of variation. Changing the silence coefficient of variation does not effectively change the direction of rumor propagation, which indicates that rumor has a strong propagation ability after mutation.Conclusion: The insights of this paper on the dissemination of public opinions include: 1) pay attention to people with high trust levels, such as opinion leaders; 2) clarify the misinformation in time to prevent further spread of rumors.

Cross-platform opinion dynamics in competitive travel advertising: A coupled networks’ insight

“…In addition, this paper only considers the cross-platform dissemination process of competing advertising information in two online platforms. In the future, we can consider building a cross-platform competitive dissemination model of advertising in online-offline multi-layer networks ( Ju et al, 2022 ), so as to better describe the actual dissemination process of competing advertising information.…”

“…However, there are few studies on the dissemination of cross-disseminated in multiple platforms. For example, the cross-layer propagation of single information online and offline is analyzed through the HK model ( Ding et al, 2017 ; Dong et al, 2021 ; Ju et al, 2022 ). Because the cross-layer communication of online platforms is faster and more common.…”

“…Compared with traditional information dissemination channels, the number of users of social platforms is growing, and it has become the preferred method for users to receive travel information. Indeed, public opinion has emerged as a critical norm in the dissemination of social information ( Zhang et al, 2018 ; Kim et al, 2019 ; Shmargad and Sanchez, 2020 ; Ju et al, 2022 ).…”

Project Group Program Generation and Decision Making Method Integrating Coupling Network and Hesitant Fuzzy

“…Study the principle of rumor spreading with reference to the rumor spreading mechanism of infectious diseases [34] Rumor diffusion mechanism in coupling network [35] The law of opinion dissemination and evolution of individual opinions [36] Social contagion Social contagion dynamics of non-redundant information memory [37] credit risk contagion [38] Material transmission…”

Research on the dissemination of celebrities’ opinions based on speech act theory and potential category analysis

“…Celebrities frequently interact with platform users when they post information and thoughts about hot events on social media platforms ( Xu et al, 2021c ; Bao et al, 2022a ; Han et al, 2022 ; Ju et al, 2022a ; Wang et al, 2022 ). Most studies at home and abroad are from the perspective of enterprises ( Langley et al, 2014 ) and users ( Etter, 2013 ) to study how enterprises use social platforms to attract users’ attention, increase user interaction and improve user stickiness, but few studies show the relationship between user behavior and celebrities’ “personal brands” ( Jihyun and Song, 2016 ; Xu et al, 2021b ; Guo et al, 2022 ; Ju et al, 2022c ). Therefore, this paper focuses on the influence of the language style of celebrities’ opinions on user communication and what kind of language style elements can increase the volume and frequency of user communication of celebrities’ opinions.…”