An Efficient Social Event Invitation Framework Based on Historical Data of Smart Devices

A lot of people prefer to attend activities or do daily workout with partners, friends, or even strangers instead of solo, however, it is not easy to have partners or friends as companies all the time since everyone has different schedule. With the rapid growth of using smart devices and social network applications in our daily life, more and more people start establishing connections with people through the social network. Therefore, designing a framework for organizing social events and activities based on collected historical data of smart devices is an efficient way to encourage people to enjoy activities they like with people they can get along well. In this paper, we proposed a smart social event invitation framework to select invitation receivers for an event organizer based on smart device historical data of owners. Habits and abilities of smart device owners can be summarized from the historical data. The selection algorithms would choose invitation receivers who have time and ability to attend the event. Moreover, in order to guarantee each participant can enjoy participating in the event, we proposed two algorithms, greedy searching and k-core algorithm, to pick invitation receivers. k-core algorithm uses k-core graph theory to ensure that each receiver has at least k friends are invited as well. Also, the proposed framework encourages less active or isolated people via issuing higher priority to them thus improving overall active levels of all members. The simulation results show that our proposed framework has good performance.