header
Image from OpenLibrary

Social network monitoring using a degree corrected stochastic block model / Abeer Abdelaal Zaki Ali ; Supervised Nesma Ali Mahmoud Saleh , Mahmoud Alsaid Mahmoud

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Abeer Abdelaal Zaki Ali , 2020Description: 89 P . : charts ; 25cmOther title:
  • متابعة شبكات التواصل الاجتماعى باستخدام نموذج الكتل العشوائى مُصحَح الدرجة [Added title page title]
Subject(s): Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Economics and Political Science - Department of Statistics Summary: The current study presents an extension of the category of social network analysis studies using control charts. The analysis is performed on two main aspects related to social network monitoring. First,a change detection performance comparison among some network centrality measures (betweenness, closeness, and degree) via control charts is conducted on weighted and unweighted directed networks. Two descriptive measures were identified; which are the average, and standard deviation for each metric. Simulation results show that, in directed networks, the degree centrality measure in most cases is recommended to be used for both weighted and unweighted networks except for some specific situations; in which the betweenness and/ or closeness measures are highly recommended. Also, it can generally be concluded that taking the average of each centrality measure performs better than taking the standard deviation in detecting anomalies
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.03.01.M.Sc.2020.Ab.S (Browse shelf(Opens below)) Not for loan 01010110081281000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.03.01.M.Sc.2020.Ab.S (Browse shelf(Opens below)) 81281.CD Not for loan 01020110081281000

Thesis (M.Sc.) - Cairo University - Faculty of Economics and Political Science - Department of Statistics

The current study presents an extension of the category of social network analysis studies using control charts. The analysis is performed on two main aspects related to social network monitoring. First,a change detection performance comparison among some network centrality measures (betweenness, closeness, and degree) via control charts is conducted on weighted and unweighted directed networks. Two descriptive measures were identified; which are the average, and standard deviation for each metric. Simulation results show that, in directed networks, the degree centrality measure in most cases is recommended to be used for both weighted and unweighted networks except for some specific situations; in which the betweenness and/ or closeness measures are highly recommended. Also, it can generally be concluded that taking the average of each centrality measure performs better than taking the standard deviation in detecting anomalies

Issued also as CD

There are no comments on this title.

to post a comment.