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A Method for Social Network Extraction From E-Government

机译:一种从电子政务中提取社交网络的方法

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Nowadays, improvement of governance, ensuring security and timely detection of propaganda against the government are major problems of e-government. The extraction of hidden social networks operating against the state in e-government is one of the key factors to ensure the security in e-government. In this article, a method has been proposed for extracting hidden social networks to improve e-government management, prevent promotion against the government and ensure the security. In this approach, hidden social networks are extracted through the analysis of user's comments via opinion and text mining technologies. The authors assume that all comments are written in one language. Unlike previous methods, to detect social relationships between actors, content analysis technology, namely opinion mining technology was used in the proposed approach.
机译:如今,改善治理,确保安全和及时发现针对政府的宣传是电子政务的主要问题。电子政务中与国家政府对抗的隐性社交网络的提取是确保电子政务安全的关键因素之一。本文提出了一种提取隐藏的社交网络的方法,以改善电子政务管理,防止对政府的晋升和确保安全。通过这种方法,可以通过意见和文本挖掘技术对用户的评论进行分析,从而提取隐藏的社交网络。作者假设所有评论均以一种语言编写。与以前的方法不同,要检测参与者之间的社会关系,建议的方法中使用了内容分析技术,即观点挖掘技术。

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