摘要
物联网社会风险的演变过程遵循风险的一般规律,具有典型的高斯分布特性。管理者应关注均数μ和标准差σ这两个变量,以使风险处于可控范围内。从宏观上来看,物联网社会风险的内在演变规律显示其具有无标度网络的幂律分布特性。由此,在物联网社会风险具体应对时,应密切关注其自组织特性、规避其鲁棒性和脆弱性、重视轴心节点,以避免系统风险的产生。
The evolution of social risks of the Internet of Things accords with the distribution law of life cycle curve, which shares the properties of Gauss distribution to some extent. According to this, Judging form the perspective of overall situation, managers should pay attention to the wand which represents mean and standard deviation respectively, so as to keep risks under control. The inherent law of evolution of social risks of the Internet of Things shows that it has the perspective of power-law distribution of scale-free internet. Therefore, people are supposed to pay close attention to its perspective of self-organization and attach importance to axis nodes, in order to avoid bringing in system risks.
出处
《江苏商论》
2013年第11期41-44,48,共5页
Jiangsu Commercial Forum
基金
基于物联网的农业信息服务在现代农业中的地位与作用研究
编号:10YJA78004
教育部人文社科基金项目:移动互联网热点舆情与网下集合行为的耦合性研究
编号:11YJC630059
江苏省科技厅项目:温室农作物生长参数监测与智能控制技术系统研究
项目编号:BE2011341
关键词
物联网
社会风险
复杂网络
幂律分布
高斯分布
The Internet of Things
Social Risks
Complicated Network
The Power Law Distribution
Gauss Distribution