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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Using Mining Predict Relationships on the Social Media Network: Facebook (FB)
Digital Object Identifier (DOI) : 10.14569/IJARAI.2015.040409
Article Published in International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 4 Issue 4, 2015.
Abstract: The objective of this paper is to study on the most famous social networking site Facebook and other online social media networks (OSMNs) based on the notion of relationship or friendship. This paper discussed the methodology which can used to conduct the analysis of the social network Facebook (FB) and also define the framework of the Web Mining platform. Lastly, various technological challenges were explored which were lying under the task of extracting information from FB and discuss in detail the about crawling agent functionality.
Keywords: Online Social Media Networks (OSMNs); Facebook (FB); Data Mining; Crawling Process; Protocol
Dr. Mamta Madan and Meenu Chopra, “Using Mining Predict Relationships on the Social Media Network: Facebook (FB)” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 4(4), 2015. http://dx.doi.org/10.14569/IJARAI.2015.040409
@article{Madan2015,
title = {Using Mining Predict Relationships on the Social Media Network: Facebook (FB)},
journal = {International Journal of Advanced Research in Artificial Intelligence}
doi = {10.14569/IJARAI.2015.040409},
url = {http://dx.doi.org/10.14569/IJARAI.2015.040409},
year = {2015},
publisher = {The Science and Information Organization},
volume = {4},
number = {4},
author = {Dr. Mamta Madan and Meenu Chopra},
}
