Research On The Nodes Behavours In Mobile Social Networks

As the development of the mobile terminals such as the smart phones, wireless technologies and3G networks, people tend to communicate with each other with the mobile devices, which gradually form the mobile social networks (MSN). In mobile social networks, people with similar interests organize groups or communities and share information in peer to peer manner, depending on the opportunity encounters and may without the infrastructure.The main part of the MSN analysis is the human movement and social behaviors, such as the contact patterns, social relationships, cluster features and mobility models. In social structure, nodes represent people or other social entities, and the links are the interactions between them. It’s important to summarize the node behavior characteristics in MSN, which is significant in modeling the dynamic network topology, research on the resource management and content distribution mechanisms, etc. However, nodes in MSN are social complex and move freely, which brings enormous difficulties in exploiting the node behaviors.In this paper, we firstly summarize and analyze the general laws of node behaviors from the aspects of social network theories and node mobility, and investigate the interrelationships between node social behaviors and mobility through simulation experiments. We present the key factors in building the movement models in MSN. Then, in order to verify our theoretical analysis, and further exploit the node behavior rules, we select a few representative real trace data sets for statistical analysis. Finally, we prove the node social attributes and the historical contact records the social metrics based on have different effects on data transmission through various simulations. Besides that, we discuss how to use the node behaviors to improve the network performances.