A Method for Social Network Extraction From E-Government

Author:

Alguliyev Rasim M.1,Aliguliyev Ramiz M.1,Niftaliyeva (Iskandarli) Gunay Y.1

Affiliation:

1. Institute of Information Technology of Azerbaijan National Academy of Sciences, Baku, Azerbaijan

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.

Publisher

IGI Global

Subject

Information Systems and Management,Management Science and Operations Research,Strategy and Management,Information Systems,Management Information Systems

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Leveraging Social Media in Mobile Government: Enhancing Citizen Engagement and Service Delivery;2023 IEEE 8th International Conference on Engineering Technologies and Applied Sciences (ICETAS);2023-10-25

2. Gobierno electrónico mediante diferentes plataformas digitales en un grupo de ciudadanos de una ciudad Argentina;Revista de Investigación, Desarrollo e Innovación;2022-08-15

3. Assessment of E-Government Portals;International Journal of Information Systems in the Service Sector;2022-01

4. Social network extraction based on Web: A Review about Supervised Methods;Journal of Physics: Conference Series;2021-06-01

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