A simplified mobile advertising model to study advertising spreading through personal social networks and branded apps

Research on mobile advertising has evolved considerably over the last few years. However, several under-researched topics remain, including mobile advertising spreading by leveraging users’ personal social networks. The present research addresses this gap by proposing a model for studying advertising spreading through personal networks using a viral approach and branded apps. The proposed model simulation suggests that the influence of spreader users’ percentage in ad spreading was significant, but increasing it beyond 20% did not impact the spreading growth. Additionally, including user privacy perception in the model positively affected spreading by increasing advertising propagation risk