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العنوان
Intelligent approaches for social network analysis /
الناشر
Khaled Ahmed Mohamed Ahmed ,
المؤلف
Khaled Ahmed Mohamed Ahmed
هيئة الاعداد
باحث / Khaled Ahmed Mohamed Ahmed
مشرف / Ehab Ezzat
مشرف / Aboul Ella Hassanien
مناقش / Ehab Ezzat
تاريخ النشر
2018
عدد الصفحات
62 Leaves :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
Information Systems
تاريخ الإجازة
15/7/2018
مكان الإجازة
جامعة القاهرة - كلية الحاسبات و المعلومات - Information systems
الفهرس
Only 14 pages are availabe for public view

from 73

from 73

Abstract

Nowadays social networks are considered the fastest and the most important communication method which help persons or users to interact, exchange and communicate together from di erent countries. Social networks connect peo- ple from di erent places through online websites such as Facebook. Social networks analysis methods help in getting valuable insights for social net- works such as election by clustering the social networks’ users, in industrial domain such as online branding pages or online advertising. Social networks analysis has two main urgent research gaps, the rst is community detection which helps in clustering or dividing the complex network into a set of clusters or groups, while the second is nding an accurate social network prediction approach for predicting posts’ e ciency and performance for Facebook such as number of likes, shares and the interactions with audience