SocialNetView: Optimization of Wireless Communication for Social Media Interaction

The usage of social media is increasing daily. Users tend to interact with social media content through a plethora of devices, from laptops and personal computers to smartphones, tablets, and wearables. However, these devices have different technical characteristics that affect the overall user experience. In this work, we introduce SocialNetView, a mobile application to acquire and present the user with information based on their usage of social media and provide recommendations on the available and most efficient network connection. We developed the application for smartphones and smartwatches. In order to examine its performance, we conducted experiments with 30 users on a University campus. We evaluate the efficiency of the proposed approach while user location and historical social media interaction are used for the network selection. According to experimental data, SocialNetView can deliver higher Quality of Experience (QoE) to the user, when it is used for network recommendation.