人类在通信网络上的行为动力学研究

Human behaviors are researched in communication networks based on considering psycology factors, such as habits and hobbies. By quantitative statistical analysis, the principles and mechanisms behind the human behavior phenomenon are studied, and its affection to diffusion dynamics is disscussed, which could be applied to prediction and management of traffic states in VANET (Vehicular Ad-hoc NETwork). First, data of different human behaviors is collected and analyzed in communication networks to figure out variables for describing human behaviors. Second, human behaviors in networks are modeled based on the psycology behavior attributes. Third, human group behaviors are analyzed and modeled based on factors of group dynamics, such as structures of social networks of users, interactions between users, and attributes of clustering in groups. Fourth, the effect of human behaviors to virus and congestion diffusion in communication networks in different network topologies, and diffusion process are modeled based on human group dynamics, to quantitatively describle these processes. At last, VANET is taken as example based on the research results of finished projects, to predict human behaviors in communicaiton networks, and analyze the effect of human behaviors to wireless communications in VANET. The results of our study could give new insight and ideas in the realm of communication network research, and would further provide theoretical guidance and technical support for both development of vehicular communcation networks and optimization of ITS(Intelligent Transportation System).

通过考虑人类的心理因素如人类的习惯、喜好等，对人在通信网络上的行为进行定量统计分析，挖掘其背后的机制原理，探讨其对传播动力学的影响，并将其应用于车载无线通信网络中的交通状态预测和管理。首先，收集人类在通信网络中不同行为的数据并进行分析，以挖掘更多刻画人类行为规律的物理量；其次，基于人类的心理行为特征建立人类网络行为模型；再次，通过考虑用户的社会网络结构、交互关系和群体的聚合程度等群体动力学因素，对通信网络中人类群体行为进行分析与建模；进一步，结合该群体行为模型，探讨在不同网络拓扑结构下人类行为对通信网络中病毒和拥塞等传播的影响，并建立基于人类行为的传播模型以定量刻画该传播过程；最后，结合已有项目研究成果，对人类在通信网络中的行为进行预测，分析人类行为对车载无线网络通信的影响。本研究结果能够为通信网络的研究提供新的视角与思路，并进一步为车联网的发展和智能交通系统的优化提供理论指导和技术支撑。

通过考虑人类的心理因素如人类的习惯、喜好等，对人在通信网络上的行为进行了定量统计分析，探讨了其对传播动力学的影响，并将其应用于车载无线通信网络中的交通状态预测和管理。首先，本项目收集了人类在通信网络中不同行为的数据并进行分析，挖掘出刻画人类行为规律的物理量；其次，基于人类的心理行为特征建立了人类网络行为模型；再次，通过考虑用户的社会网络结构、交互关系和群体的聚合程度等群体动力学因素，对通信网络中人类群体行为进行了分析与建模；进一步，结合该群体行为模型，探讨了在不同网络拓扑结构下人类行为对通信网络中病毒和拥塞等传播的影响，并建立了基于人类行为的传播模型以定量刻画该传播过程；最后，结合已有项目研究成果，对人类在通信网络中的行为进行预测，给出了人类行为对车载无线网络通信的影响。本研究成果可进一步为制定交通控制决策提供依据，有助于优化ITS并为其及通信网络的研究提供新的视角与引导。