Abstract
AbstractHow to exploit social networks to make internet content spread rapidly and consistently is an interesting question in marketing management. Although epidemic models have been employed to comprehend the spread dynamics of internet content, such as viral videos, the effects of advertising and individual sharing on information dissemination are difficult to distinguish. This gap forbids us to evaluate the efficiency of marketing strategies. In this paper, we modify a classic mean-field SIR (susceptible–infected–recovered) model, incorporating the influences of sharing and advertising in viral videos. We mathematically analyze the global stability of the system and propose an agent-based modeling approach to evaluate the efficiency of sharing and advertising. We further provide a case study of music videos on YouTube to show the validity of our model.
Funder
Fundamental Research Funds for the Central Universities
National Social Science Fund of China
Publisher
Springer Science and Business Media LLC
Reference42 articles.
1. Chi, C. 51 YouTube stats every video marketer should know in 2019. https://blog.hubspot.com/marketing/youtube-stats. Accessed 05 December 23.
2. Wong, C.-H., Tan, G.W.-H., Tan, B.-I. & Ooi, K.-B. Mobile advertising: The changing landscape of the advertising industry. Telemat. Inform. 32, 720–734 (2015).
3. Eckler, P. & Bolls, P. Spreading the virus: Emotional tone of viral advertising and its effect on forwarding intentions and attitudes. J. Interact. Advert. 11, 1–11 (2011).
4. Ho, J. Y. & Dempsey, M. Viral marketing: Motivations to forward online content. J. Bus. Res. 63, 1000–1006 (2010).
5. Kubo, M., Naruse, K., Sato, H. & Matubara, T. The possibility of an epidemic meme analogy for web community population analysis. In Intelligent Data Engineering and Automated Learning - IDEAL 2007 1073–1080 (Springer, Berlin, 2007).