Investigation and analysis of research gate user’s activities using neural networks
المؤلف
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 13، العدد 2 (31 مارس/آذار 2016)7ص.
الناشر
تاريخ النشر
2016-03-31
دولة النشر
الأردن
عدد الصفحات
7
التخصصات الرئيسية
الموضوعات
الملخص EN
Online social Networks (OSNs) have been proliferating in the past decade as general-purpose public networks.
Billions of user’s are currently subscribing by uploading, downloading, sharing opinions and blogging.
Private OSNs emerged to tackle this issue.
Research Gate (RG) is considered as one of the most popular private academic social networks for developers and researches in the internet.
The current study consists of two parts.
The first part is a measurement study of user’s activities in RG and second part deals with the relationship between user’s profile data and their links.
To this end, a sample of one million RG user’s records was.
To facilitate this analysis, three layers back-propagation neural net- work models were generated.
The purpose of this network is to show the correlation between user profiles data and the number of their followers.
The results show that there is a high positive relationship between user’s followers and research activities 'publication, impact factor, total number of publication views and citation'.
In addition, the results indicated that the number of questions and answers (activity) of a user have low correlation with the corresponding followers.
The present results demonstrate that the question/answer contributions of researchers are limited, which therefore, needs more collaboration fromdata comparison using similarity indices and principal components analysis the RG researchers
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Hiyasat, Umar. 2016. Investigation and analysis of research gate user’s activities using neural networks. The International Arab Journal of Information Technology،Vol. 13, no. 2.
https://search.emarefa.net/detail/BIM-581157
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
al-Hiyasat, Umar. Investigation and analysis of research gate user’s activities using neural networks. The International Arab Journal of Information Technology Vol. 13, no. 2 (Mar. 2016).
https://search.emarefa.net/detail/BIM-581157
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Hiyasat, Umar. Investigation and analysis of research gate user’s activities using neural networks. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 2.
https://search.emarefa.net/detail/BIM-581157
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-581157
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر