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社交网络是大数据时代的重要组成部分,用于信息的摄取与交流,基于社交网络信息的流动性与安全风险特性,用层次分析法在对风险评价指标进行定性与定量分析的基础上,建立社交网络隐私风险分析的层次结构模型,运用Delphi法构建包含3个准则维度和13个指标维度的隐私风险评估指标体系,计算对各级指标的综合权重,从而解决多因素分析时所遇到的复杂问题,为网络隐私风险分析提供一些依据,并对网络隐私风险防范提出改善建议。
Social network is an important part of the big data era, which is used for information ingestion and exchange. Based on the characteristics of liquidity and security risk of social network information, based on the qualitative and quantitative analysis of risk assessment indicators by AHP Social network privacy risk analysis of the hierarchical structure model, the use of Delphi method to build contains three criteria dimensions and 13 index dimensions of privacy risk assessment index system, calculate the comprehensive weight of indicators at all levels, so as to solve the multi-factor analysis encountered Complex issues for the network privacy risk analysis to provide some basis for the prevention of privacy risks and make recommendations for improvement.