In light of the rapid growth and
development of social media, it has become the focus of interest in many
different scientific fields. They seek to extract useful information from it,
and this is called (knowledge), such as extracting information related to people’s
behaviors and interactions to analyze feelings or understand the behavior of
users or groups, and many others. This extracted knowledge has a very important
role in decision-making, creating and improving marketing objectives and
competitive advantage, monitoring events, whether political or economic, and
development in all fields. Therefore, to extract this knowledge, we need to
analyze the vast amount of data found within social media using the most
popular data mining techniques and applications related to social media sites.
References
[1]
Injadat, M., Salo, F. and Nassif, A.B. (2016) Data Mining Techniques in Social Media: A Survey. Neurocomputing, 214, 654-670. https://doi.org/10.1016/j.neucom.2016.06.045
[2]
Martyniuk, H., Kozlovskiy, V., Lazarenko, S. and Balanyuk, Y. (2021) Data Mining Technics and Cyber Hygiene Behaviors in Social Media. South Florida Journal of Development, 2, 2503-2515. https://doi.org/10.46932/sfjdv2n2-108
[3]
Number of Internet and Social Media Users Worldwide. https://www.statista.com/statistics/617136/digital-population-worldwide/
[4]
Pushpam, C.A. and Jayanthi, J.G. (2017) Overview on Data Mining in Social Media. International Journal of Computer Sciences and Engineering, 5, 147-157. https://doi.org/10.26438/ijcse/v5i11.147157
[5]
Belcastro, L., Cantini, R. and Marozzo, F. (2022) Knowledge Discovery from Large Amounts of Social Media Data. Applied Sciences, 12, Article 1209. https://doi.org/10.3390/app12031209
[6]
Zarei, E. and Jabbarzadeh, A. (2019) Knowledge Management and Social Media: A Scientometrics Survey. International Journal of Data and Network Science, 3, 359-378. https://doi.org/10.5267/j.ijdns.2019.2.008
[7]
Riadi, I. (2017) Detection of Cyberbullying on Social Media Using Data Mining Techniques. International Journal of Computer Science and Information Security (IJCSIS), 15, 2, 3, 5, 15.
[8]
Prasdika, P. and Sugiantoro, B. (2018) A Review Paper on Big Data and Data Mining Concepts and Techniques. International Journal on Informatics for Development, 7, 36-38. https://doi.org/10.14421/ijid.2018.07107
[9]
Han, J., Pei, J. and Tong, H. (2022) Data Mining: Concepts and Techniques. Elsevier, Amsterdam. https://books.google.com.eg/books?hl=ar&lr=&id=NR1oEAAAQBAJ&oi=fnd&pg=PP1&dq=info:TCHftT_XL_UJ:scholar.google.com/&ots=_N1KTJugqY&sig=oxGId6EKTh2P7kFeCISU82h1rtk&redir_esc=y#v=onepage&q&f=false
[10]
Carr, C.T. and Hayes, R.A. (2015) Social Media: Defining, Developing, and Divining. Atlantic Journal of Communication, 23, 46-65. https://doi.org/10.1080/15456870.2015.972282
[11]
Niguidula, J.D. and Lacasandile, A.D. (2017) Social Trends: The Theory, Research and Sociality Discerned through Twitter. International Journal of Computer Science and Information Security (IJCSIS), 15, 14-15.
[12]
Kallas (2023) The 15 Biggest Social Media Sites and Apps in 2024. https://www.dreamgrow.com/top-15-most-popular-social-networking-sites/
[13]
Salloum, S.A., Al-Emran, M. and Shaalan, K. (2017) Mining Social Media Text: Extracting Knowledge from Facebook. International Journal of Computing and Digital Systems, 6, 73-81. https://doi.org/10.12785/IJCDS/060203
[14]
Albayati, M.B. and Altamimi, A.M. (2019) Identifying Fake Facebook Profiles Using Data Mining Techniques. Journal of ICT Research & Applications, 13, 2, 3, 5, 13, 15. https://doi.org/10.5614/itbj.ict.res.appl.2019.13.2.2
[15]
Salloum, S.A., Mhamdi, C., Al-Emran, M. and Shaalan, K. (2017) Analysis and Classification of Arabic Newspapers’ Facebook Pages Using Text Mining Techniques. International Journal of Information Technology and Language Studies, 1, 8-17.
[16]
Bello-Orgaz, G., Jung, J.J. and Camacho, D. (2016) Social Big Data: Recent Achievements and New Challenges. Information Fusion, 28, 45-59. https://doi.org/10.1016/j.inffus.2015.08.005