A Method for Social Network Extraction From E-Government

Rasim M. Alguliyev, Ramiz M. Aliguliyev and Gunay Y. Niftaliyeva (Iskandarli)
Additional contact information
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
Gunay Y. Niftaliyeva (Iskandarli): Institute of Information Technology of Azerbaijan National Academy of Sciences, Baku, Azerbaijan

International Journal of Information Systems in the Service Sector (IJISSS), 2019, vol. 11, issue 3, 37-55

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.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJISSS.2019070103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jisss0:v:11:y:2019:i:3:p:37-55

Access Statistics for this article

International Journal of Information Systems in the Service Sector (IJISSS) is currently edited by John Wang

More articles in International Journal of Information Systems in the Service Sector (IJISSS) from IGI Global
Bibliographic data for series maintained by Journal Editor ().