A New Supervised Epidemic Model for Intelligent Viral Content Classification

Abdulkerim ŞENOĞLU; Uraz YAVANOĞLU; Suat ÖZDEMİR

Makale detayları

A New Supervised Epidemic Model for Intelligent Viral Content Classification

Yazarlar:

Abdulkerim ŞENOĞLU | Uraz YAVANOĞLU | Suat ÖZDEMİR

Yayıncı:

İsmail SARITAŞ

Ana Başlıklar:

Uygulamalı fizik

Dergi:

International Journal of Intelligent Systems and Applications in Engineering 2016 Vol.4 Issue Special Issue-1, pp.216-221

Belge Tipi:

Makale

Yayın Tarihi:

12/2016

Belge Dili:

Türkçe

Document ID (Org No.):

2000817535

Sıklık:

Üç Aylık

eISSN:

2147-6799

Özet:

 


In this study, we propose an
information diffusion model which is based on neural networks, artificial
intelligence and supervised epidemic approach. We collected epidemically
diffused data from Twitter with supervision to create a ranking system that forms
the base of our diffusion model. The collected data is also used to train the
proposed model. The outputs of the proposed model are shown to be useful for
the provenance problem and the diffusion prediction systems in both physical
and social networks. Knowing the viral content beforehand can be used in
advertisement, industry, politics or any other end user that wants to reach a large
number of people. Our performance analysis show that the proposed model can
achieve over 90% training success rate and 78% test success rate of classifying
viral content which is better than some of the existing models.


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Makale detayları

A New Supervised Epidemic Model for Intelligent Viral Content Classification

Yazarlar: Abdulkerim ŞENOĞLU | Uraz YAVANOĞLU | Suat ÖZDEMİR

Yayıncı: İsmail SARITAŞ

Ana Başlıklar: Uygulamalı fizik

Dergi: International Journal of Intelligent Systems and Applications in Engineering 2016 Vol.4 Issue Special Issue-1, pp.216-221

Belge Tipi: Makale

Yayın Tarihi: 12/2016

Belge Dili: Türkçe

Document ID (Org No.): 2000817535

Sıklık: Üç Aylık

eISSN: 2147-6799

Sayı

Yazarlar:

Abdulkerim ŞENOĞLU | Uraz YAVANOĞLU | Suat ÖZDEMİR

Yayıncı:

İsmail SARITAŞ

Ana Başlıklar:

Uygulamalı fizik

Dergi:

International Journal of Intelligent Systems and Applications in Engineering 2016 Vol.4 Issue Special Issue-1, pp.216-221

Belge Tipi:

Makale

Yayın Tarihi:

12/2016

Belge Dili:

Türkçe

Document ID (Org No.):

2000817535

Sıklık:

Üç Aylık

eISSN:

2147-6799