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IJSTR >> Volume 8 - Issue 11, November 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Influential Persons In Online Social Networks By Preferential Attachment

[Full Text]

 

AUTHOR(S)

A. Abdul Rasheed

 

KEYWORDS

Influential Users, Link Prediction, Preferential attachment, Social Networks, Social network analysis.

 

ABSTRACT

Identifying the person who influences all the other persons in the network is always an interesting phenomenon. Social networking connects the individuals and organizations over the globe. With the advent of online social networking sites, the individual can make their own network and be popularizing within the network is made easier nevertheless of considering the geographical location. Though there are numerous methodologies introduced to find such influential person(s) in the network, this research focused on social network analysis approach called preferential attachment to find such persons. It is considered as NP-hard problem, due to the reason that it is complex in structure. As a proof of concept, the proposed methodology is adopted over few exemplary datasets with variant in sizes. The results are showing that the proposed method is able to accommodate the different size of the dataset and finds the influencers nevertheless of considering its size.

 

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