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....

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Bibliographic Details
Published inInternational journal of information systems in the service sector Vol. 11; no. 3; pp. 37 - 55
Main Authors Alguliyev, Rasim M, Aliguliyev, Ramiz M, Niftaliyeva (Iskandarli), Gunay Y
Format Journal Article
LanguageEnglish
Published Hershey IGI Global 01.07.2019
Subjects
Content analysis
Data mining
Electronic government
Government agencies
Information systems
Security
Sentiment analysis
Social networks
Technology assessment
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Summary: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.
ISSN:1935-5688
1935-5696
DOI:10.4018/IJISSS.2019070103