A study on author ranking

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Detalhes bibliográficos
Principais autores:	Haq, Md. Adnanul, Islam, Md. Noushin, Jeba, Labiba Tasfiya, Prome, Iffat Afsara, Roy, Palash Ranjan
Outros Autores:	Kaykobad, Mohammad
Formato:	Tese
Idioma:	English
Publicado em:	Brac University 2022
Assuntos:	Citation Page rank Author rank Linear programming. Artificial Intelligence
Acesso em linha:	http://hdl.handle.net/10361/16670

id	10361-16670
record_format	dspace
spelling	10361-166702022-05-25T21:01:38Z A study on author ranking Haq, Md. Adnanul Islam, Md. Noushin Jeba, Labiba Tasfiya Prome, Iffat Afsara Roy, Palash Ranjan Kaykobad, Mohammad Kaykobad, M Tanvir Department of Computer Science and Engineering, Brac University Citation Page rank Author rank Linear programming. Artificial Intelligence This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 30-31). In this research we have studied the problem of ranking papers and authors based upon their citations by other authors. Simple count of number of authors citing a particular paper or author may not be very representative of the contributions made simply because a paper or authors work may be of too prohibitive complexity for too many authors to cite. It may so happen that only accomplished researchers of grater heights can understand and assimilate their deep insightful contributions. So simple count of number of citations may well fail to capture the essence. So we proposed algorithms avoiding damping factors and assigning the weight (1 􀀀 d) as has been assigned in page ranking algorithm irrespective of any citation. We have experimented with two versions of the algorithm. In the first version the score of a paper/author has been completed based on the scores of papers that have cited it. To do some justice to the papers that fail to attract citation from too many authors due to their complexity we have considered the average quality of citing papers. However, to give some weights to number of papers citing it we have multiplied the score with the square root of number of papers citing it. Experimental results of all these versions including paper rank have been presented.The current algorithms fail to properly rank authors whose citation counts are less but whose contributions are deemed important by the leading experts in the field. So in scoring of a researcher, we would like to factor in the average score of researchers who cited their work. To score these authors more fairly, we want to introduce a new Linear Programming formulation based scoring system for researchers. The purpose of Author Rank is to recognize the expertise of a person within certain subjects and what others think about the content they publish. We want to use an algorithm which is based on the System of linear equations. And the closest algorithm of this is Google’s Page Rank algorithm. There is a need to consider the credibility of each author in order to examine the relativity of this broad data. Md. Adnanul Haq Md. Noushin Islam Labiba Tasfiya Jeba Iffat Afsara Prome Palash Ranjan Roy B. Computer Science 2022-05-25T04:33:38Z 2022-05-25T04:33:38Z 2022 2021-09 Thesis ID 18301049 ID 18301044 ID 18101529 ID 18101425 ID 18101530 http://hdl.handle.net/10361/16670 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 31 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	Citation Page rank Author rank Linear programming. Artificial Intelligence
spellingShingle	Citation Page rank Author rank Linear programming. Artificial Intelligence Haq, Md. Adnanul Islam, Md. Noushin Jeba, Labiba Tasfiya Prome, Iffat Afsara Roy, Palash Ranjan A study on author ranking
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
author2	Kaykobad, Mohammad
author_facet	Kaykobad, Mohammad Haq, Md. Adnanul Islam, Md. Noushin Jeba, Labiba Tasfiya Prome, Iffat Afsara Roy, Palash Ranjan
format	Thesis
author	Haq, Md. Adnanul Islam, Md. Noushin Jeba, Labiba Tasfiya Prome, Iffat Afsara Roy, Palash Ranjan
author_sort	Haq, Md. Adnanul
title	A study on author ranking
title_short	A study on author ranking
title_full	A study on author ranking
title_fullStr	A study on author ranking
title_full_unstemmed	A study on author ranking
title_sort	study on author ranking
publisher	Brac University
publishDate	2022
url	http://hdl.handle.net/10361/16670
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A study on author ranking

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