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R ile Sosyal Ağ Madenciliği

Year 2017, Volume: 29 Issue: 3, 94 - 101, 01.11.2017
https://doi.org/10.7240/marufbd.330585

Abstract



Birbirimizle ve
çevremizle iletişim şeklimizi değiştiren ve her geçen gün kullanıcı sayısı
artan sosyal ağlar, yapılan paylaşım ve aktiviteler ile çok fazla verinin
ortaya çıkmasını sağlayan ortamlardır. Sosyal ağ madenciliği ile bu ortamda
farklı biçimlerde ve büyük miktardaki verinin, veri madenciliği yöntemleri ile
analiz edilmesi ve anlamlandırılması mümkün olmaktadır.  Bu çalışmada sosyal ağ madenciliği uygulaması
kapsamında Twitter ve WhatsApp verileri üzerinde R programlama ortamında
yapılan analiz süreci ve sonuçları açıklanmaktadır. 

References

  • https://www.statista.com/statistics/303681/twitter-users-worldwide/ (Temmuz 2017)
  • https://www.statista.com/statistics/260819/number-of-monthly-active-whatsapp-users/ (Temmuz 2017)
  • Nasution, M. K., Sitompul, O. S., Sinulingga, E. P., & Noah, S. A. (2016). An extracted social network mining. Paper presented at the SAI Computing Conference (SAI), 2016.
  • RStudio – Open source and enterprise-ready professional software for R.). Retrieved 01/06/2017, from https://www.rstudio.com/
  • Ihaka, R., & Gentleman, R. (1996). R: a language for data analysis and graphics. Journal of computational and graphical statistics, 5(3), 299-314.
  • Alrubaian, M., Al-Qurishi, M., Al-Rakhami, M., Hassan, M. M., & Alamri, A. (2017). Reputation-based credibility analysis of Twitter social network users. Concurrency and Computation-Practice & Experience, 29(7). doi: ARTN e3873 10.1002/cpe.3873
  • Zhang, K. P., Bhattacharyya, S., & Ram, S. (2016). LARGE-SCALE NETWORK ANALYSIS FOR ONLINE SOCIAL BRAND ADVERTISING. [Article]. Mis Quarterly, 40(4), 849-+.
  • Iglesias, J. A., Garcia-Cuerva, A., Ledezma, A., Sanchis, A., & Ieee. (2016, Oct 09-12). Social Network Analysis: Evolving Twitter. Paper presented at the IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, HUNGARY.
  • Abascal-Mena, R., Lema, R., & Sedes, F. (2015). Detecting sociosemantic communities by applying social network analysis in tweets. [Article]. Social Network Analysis and Mining, 5(1), 17. doi: 10.1007/s13278-015-0280-2
  • Kılınç, D., Borandağ, E., Yücalar, F., Tunalı, V., Şimsek, M., & Özçift, A. (2016). KNN algoritması ve r dili ile metin madenciliği kullanılarak bilimsel makale tasnifi.

Social Network Mining with R

Year 2017, Volume: 29 Issue: 3, 94 - 101, 01.11.2017
https://doi.org/10.7240/marufbd.330585

Abstract

Social networks
that change the way we communicate with each other and around the world,
increasing in number of users every day, are the platforms that allow a lot of
data to be generated with sharing and activities. Through
social network mining, it is possible to analyze and
interpret data in different format and large amount of data by means of data
mining methods. In this study, the process and results of the analysis made on
the Twitter and WhatsApp data in the R programming platform are explained in
the scope of social network mining application.



 

References

  • https://www.statista.com/statistics/303681/twitter-users-worldwide/ (Temmuz 2017)
  • https://www.statista.com/statistics/260819/number-of-monthly-active-whatsapp-users/ (Temmuz 2017)
  • Nasution, M. K., Sitompul, O. S., Sinulingga, E. P., & Noah, S. A. (2016). An extracted social network mining. Paper presented at the SAI Computing Conference (SAI), 2016.
  • RStudio – Open source and enterprise-ready professional software for R.). Retrieved 01/06/2017, from https://www.rstudio.com/
  • Ihaka, R., & Gentleman, R. (1996). R: a language for data analysis and graphics. Journal of computational and graphical statistics, 5(3), 299-314.
  • Alrubaian, M., Al-Qurishi, M., Al-Rakhami, M., Hassan, M. M., & Alamri, A. (2017). Reputation-based credibility analysis of Twitter social network users. Concurrency and Computation-Practice & Experience, 29(7). doi: ARTN e3873 10.1002/cpe.3873
  • Zhang, K. P., Bhattacharyya, S., & Ram, S. (2016). LARGE-SCALE NETWORK ANALYSIS FOR ONLINE SOCIAL BRAND ADVERTISING. [Article]. Mis Quarterly, 40(4), 849-+.
  • Iglesias, J. A., Garcia-Cuerva, A., Ledezma, A., Sanchis, A., & Ieee. (2016, Oct 09-12). Social Network Analysis: Evolving Twitter. Paper presented at the IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, HUNGARY.
  • Abascal-Mena, R., Lema, R., & Sedes, F. (2015). Detecting sociosemantic communities by applying social network analysis in tweets. [Article]. Social Network Analysis and Mining, 5(1), 17. doi: 10.1007/s13278-015-0280-2
  • Kılınç, D., Borandağ, E., Yücalar, F., Tunalı, V., Şimsek, M., & Özçift, A. (2016). KNN algoritması ve r dili ile metin madenciliği kullanılarak bilimsel makale tasnifi.
There are 10 citations in total.

Details

Subjects Engineering
Journal Section Research Articles
Authors

Buket Doğan

Ufuk Sarıkaya This is me

Abdulsamet Aktaş

Publication Date November 1, 2017
Acceptance Date October 12, 2017
Published in Issue Year 2017 Volume: 29 Issue: 3

Cite

APA Doğan, B., Sarıkaya, U., & Aktaş, A. (2017). R ile Sosyal Ağ Madenciliği. Marmara Fen Bilimleri Dergisi, 29(3), 94-101. https://doi.org/10.7240/marufbd.330585
AMA Doğan B, Sarıkaya U, Aktaş A. R ile Sosyal Ağ Madenciliği. MAJPAS. November 2017;29(3):94-101. doi:10.7240/marufbd.330585
Chicago Doğan, Buket, Ufuk Sarıkaya, and Abdulsamet Aktaş. “R Ile Sosyal Ağ Madenciliği”. Marmara Fen Bilimleri Dergisi 29, no. 3 (November 2017): 94-101. https://doi.org/10.7240/marufbd.330585.
EndNote Doğan B, Sarıkaya U, Aktaş A (November 1, 2017) R ile Sosyal Ağ Madenciliği. Marmara Fen Bilimleri Dergisi 29 3 94–101.
IEEE B. Doğan, U. Sarıkaya, and A. Aktaş, “R ile Sosyal Ağ Madenciliği”, MAJPAS, vol. 29, no. 3, pp. 94–101, 2017, doi: 10.7240/marufbd.330585.
ISNAD Doğan, Buket et al. “R Ile Sosyal Ağ Madenciliği”. Marmara Fen Bilimleri Dergisi 29/3 (November 2017), 94-101. https://doi.org/10.7240/marufbd.330585.
JAMA Doğan B, Sarıkaya U, Aktaş A. R ile Sosyal Ağ Madenciliği. MAJPAS. 2017;29:94–101.
MLA Doğan, Buket et al. “R Ile Sosyal Ağ Madenciliği”. Marmara Fen Bilimleri Dergisi, vol. 29, no. 3, 2017, pp. 94-101, doi:10.7240/marufbd.330585.
Vancouver Doğan B, Sarıkaya U, Aktaş A. R ile Sosyal Ağ Madenciliği. MAJPAS. 2017;29(3):94-101.

Marmara Journal of Pure and Applied Sciences

e-ISSN : 2146-5150