一种电子政务社会网络提取方法

R. Alguliyev, R. Aliguliyev, Gunay Y. Niftaliyeva
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引用次数: 1

摘要

当前,完善治理、保障安全、及时发现反政府宣传是电子政务面临的主要问题。电子政务中反国家隐性社会网络的提取是保证电子政务安全的关键因素之一。本文提出了一种提取隐性社会网络的方法,以提高电子政务管理水平,防止反政府宣传,保证安全。在这种方法中,通过观点和文本挖掘技术对用户评论进行分析,提取隐藏的社交网络。作者假设所有注释都是用一种语言编写的。与以往的方法不同,该方法使用内容分析技术,即意见挖掘技术来检测参与者之间的社会关系。
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A Method for Social Network Extraction From E-Government
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.
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