Towards trust-based social web / Ramy Ahmed Hanafy ; Supervised Abeer Mohamed Elkorany , Soha Makady

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Ramy Ahmed Hanafy

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Material type: Text

TextLanguage: English Publication details: Cairo : Ramy Ahmed Hanafy , 2019Description: 91 Leaves : charts ; 30cmOther title:

نموذج ثقة للشبكات الاجتماعية [Added title page title]

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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science Summary: Social networks have become one of the popular media for disseminating information and connecting people. Governments and enterprises have started exploiting these networks for delivering their services to citizens and customers. However, the success of such attempts relies on the level of trust that members have with each other as well as with the service provider. Trust has been described as a real component of any social relationship. Trust mainly refers to a measure of confidence on an entity that would behave in an expected manner, and has become an essential and important element of a successful social network. Academic social network (ASN) enables researchers to communicate and share publications. Traditional approaches to rank researchers are based on universal measures such as the H-index, which considers both the quality of researcher publications, and those publications{u2019} impact in one consolidated value. However, the H-index is highly affected by the duration of the researcher{u2019}s career, making it hard to compare and consequently rank researchers at different stages of their career, H-index also didn{u2019}t consider multiple characteristics (e.g. total number of publications, total work citation, total number of followers) in its calculation. This research aims to propose a model that utilizes the characteristics of researchers and their papers extracted from ASNs, in order to produce two scores, one that evaluates researcher and another to evaluate researcher{u2019}s scientific papers. Such scores are based on some extracted information that is prioritized according to user preferences. The proposed model recognizes both a researcher{u2019}s academic contribution and his influence on his fellow researchers in the form of an author score, and the influence of papers in the form of a paper score with the contribution of calculated author score

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Holdings
Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.20.03.M.Sc.2019.Ra.T (Browse shelf(Opens below))		Not for loan		01010110079553000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.20.03.M.Sc.2019.Ra.T (Browse shelf(Opens below))	79553.CD	Not for loan		01020110079553000

Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science

Social networks have become one of the popular media for disseminating information and connecting people. Governments and enterprises have started exploiting these networks for delivering their services to citizens and customers. However, the success of such attempts relies on the level of trust that members have with each other as well as with the service provider. Trust has been described as a real component of any social relationship. Trust mainly refers to a measure of confidence on an entity that would behave in an expected manner, and has become an essential and important element of a successful social network. Academic social network (ASN) enables researchers to communicate and share publications. Traditional approaches to rank researchers are based on universal measures such as the H-index, which considers both the quality of researcher publications, and those publications{u2019} impact in one consolidated value. However, the H-index is highly affected by the duration of the researcher{u2019}s career, making it hard to compare and consequently rank researchers at different stages of their career, H-index also didn{u2019}t consider multiple characteristics (e.g. total number of publications, total work citation, total number of followers) in its calculation. This research aims to propose a model that utilizes the characteristics of researchers and their papers extracted from ASNs, in order to produce two scores, one that evaluates researcher and another to evaluate researcher{u2019}s scientific papers. Such scores are based on some extracted information that is prioritized according to user preferences. The proposed model recognizes both a researcher{u2019}s academic contribution and his influence on his fellow researchers in the form of an author score, and the influence of papers in the form of a paper score with the contribution of calculated author score

Issued also as CD

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