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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 6, ISSUE 12, DECEMBER 2017

Social Networks and Education Level Relationship

Rudi Miran Babayi, Adem Ozyavas, Ali Gunes

DOI: 10.17148/IJARCCE.2017.61217

Abstract: This work deals with estimating the education level of social media users. There may be different reasons for inferring new information from social media data. Security and economical ones are the top ones. Data mining � especially Idea Mining � on social networks have become more widespread in the international literature. Even though the number of studies done domestically have been increasing, it is not enough. This work aims to take a small step towards finding out the education level of Twitter users. The last part of this work shares the experience we had out of this research for future studies.



Keywords: Social Networks, Data Mining, Twitter.

How to Cite:

[1] Rudi Miran Babayi, Adem Ozyavas, Ali Gunes, “Social Networks and Education Level Relationship,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.61217