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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 7, ISSUE 11, NOVEMBER 2018

Study on the Application of Models and Algorithms to Identify Key Players in Identifying the Most Influential Individuals in Social Networks

Hoang Tuan Long, Nguyen Viet Dung

DOI: 10.17148/IJARCCE.2018.71110

Abstract: Social network analysis is an ​​active research area carrying important meanings in practice, enabling people to capture and manipulate complex information flows constantly running in the community. A social network is analyzed to find out the most influencing factor on the others, which is called the Key Player. Identifying a Key Player on a social network is an advantage for making good use of that social network for certain purposes. Studies have not yet been applied to a particular social network or community. It also does not focus on identifying the influence of individuals or their writings on the behaviour of the others. This study presents a new information network model that exerts influence among the vertices and builds a new formula to calculate the influence of information in accordance with the new information network model.



Keywords: Key Player, Opinion Leader, Social Network, Virtual Community

How to Cite:

[1] Hoang Tuan Long, Nguyen Viet Dung, “Study on the Application of Models and Algorithms to Identify Key Players in Identifying the Most Influential Individuals in Social Networks,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2018.71110