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基于时间序列的通信网络人类行为研究

Research on communication network of human behavior based on time sequence
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摘要 人类行为的定量化分析,尤其是人类行为规律的挖掘和建模是当前人类动力学研究的热点。对于人类通信行为的统计分析是理解电话、短信、网络即时通信中突发拥塞形成机制并设计相应对应策略的基础。研究内容包括人类行为时间特性的实证分析,建模以及人类行为统计分析的应用研究。对于人类行为时间特性的定量理解,有助于解释若干复杂的社会经济现象,并在舆情监控、呼叫服务、信息推荐等处产生应用价值。 Quantitative analysis of human behavior, especially human behavior rule of mining is a hotspot of research on the current human kinetics and modeling. Statistical analysis of human communication behavior is to understand the telephone, SMS, sudden congestion in the network instant communication form the basis for mechanism and design the corresponding strategies. In this paper, the researched content including inter-event time distribution of the empirical analysis, modeling and the application of statistical analysis of human behavior research. For inter-event time quantitative understanding of the characteristic of human behavior, to help explain a number of complex social phenomenon, and in the public opinion surveillance, call services, information and recommend generate application value.
出处 《信息技术》 2014年第4期4-7,共4页 Information Technology
基金 国家自然科学基金资助项目(71011098) 上海市培养优秀青年教师基金资助项目(51-11-303-103) 上海理工大学人文社科资助项目(14XSY17)
关键词 通信网络 人类行为 人类动力学 时间间隔分布 非泊松分布 communication network human behaviors human dynamics Lnter-event time distribution non-Poisson distribution
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