Mining Social Structure on Context Objects Database

Abstract

The advance of computing, hardware and wireless communication technologies has put the new words— Internet of Things, Social Networks into our daily life. Related areas such as Wireless Sensor Networks and Internet of Things have been changing our daily lives. Context awareness is the key to the success of prospective applications, such as location based services and social information delivery. This paper focuses on the hot topic of how to store and manage this context information efficiently. To support social information routing, this paper brought forward an unbalanced slid- ing window based social structure mining algorithm. We also developed new concept of Context Objects Database, COD, which stored and managed various context information and objects such as time, location, interaction and so on. The pa- per mainly discusses the unbalanced sliding window model, fundamental architecture of COD. We also discuss the appli- cation of the COD such as mining social structure using sliding window model. The simulation results show that the pro- posed method has better accuracy of social communities discovery and lower data amount processed.