Seed Selection for Data Offloading Based on Social and Interest Graphs

• 作者: Caoyuan Li Jianbo Li Jianwei Chen Minchao Lu Ying Li
• 来源期刊: 计算机、材料和连续体(英文)
• 学科: 数学
• 关键词: Mobile SOCIAL network SOCIAL DATA OFFLOADING extreme value MODEL Gaussian graphical MODEL
• 年，卷（期）: 2018,（12）
• 页码范围: 571-587
• 页数: 17页
• 分类号: O15

摘要

The explosive growth of mobile data demand is becoming an increasing burden on current cellular network.To address this issue,we propose a solution of opportunistic data offloading for alleviating overloaded cellular traffic.The principle behind it is to select a few important users as seeds for data sharing.The three critical steps are detailed as follows.We first explore individual interests of users by the construction of user profiles,on which an interest graph is built by Gaussian graphical modeling.We then apply the extreme value theory to threshold the encounter duration of user pairs.So,a contact graph is generated to indicate the social relationships of users.Moreover,a contact-interest graph is developed on the basis of the social ties and individual interests of users.Corresponding on different graphs,three strategies are finally proposed for seed selection in an aim to maximize overloaded cellular data.We evaluate the performance of our algorithms by the trace data of real-word mobility.It demonstrates the effectiveness of the strategy of taking social relationships and individual interests into account.