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A Method for Social Network Extraction From E-Government
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Author(s): Rasim M. Alguliyev (Institute of Information Technology of Azerbaijan National Academy of Sciences, Baku, Azerbaijan), Ramiz M. Aliguliyev (Institute of Information Technology of Azerbaijan National Academy of Sciences, Baku, Azerbaijan) and Gunay Y. Niftaliyeva (Iskandarli) (Institute of Information Technology of Azerbaijan National Academy of Sciences, Baku, Azerbaijan)
Copyright: 2023
Pages: 20
Source title:
Research Anthology on Social Media's Influence on Government, Politics, and Social Movements
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-7472-3.ch012
PurchaseView on the publisher's website for pricing and purchasing information.
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Abstract
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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