Reputation model based on Bayesian theory and eigenvector in complex networks

With the enormous increase in digital relations, many users aspire to have been establishing new relations. The problem arises that the relations of the users cannot distinguish trust relations from distrust ones. Therefore, finding an effective reputation for social relations is an important resear...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Zahi, Aseel Hussein, hasson, Saad talib
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Eigenvectors
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

container_end_page
container_issue	1
container_start_page
container_title
container_volume	2457
creator	Zahi, Aseel Hussein hasson, Saad talib
description	With the enormous increase in digital relations, many users aspire to have been establishing new relations. The problem arises that the relations of the users cannot distinguish trust relations from distrust ones. Therefore, finding an effective reputation for social relations is an important research topic. In this paper, develop reputation model has been provided to improve the reliability of reputation score for social relations. The reputation model classifies into types one is to calculate direct reputation that depends on direct interaction between users, while the second calculates reputation between users according to the recommendation from neighbors. The total reputation score can be produced from the integration between the direct reputation and indirect reputation.
doi_str_mv	10.1063/5.0118904
format	Conference Proceeding
fullrecord	<record><control><sourceid>proquest_scita</sourceid><recordid>TN_cdi_proquest_journals_2771790970</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2771790970</sourcerecordid><originalsourceid>FETCH-LOGICAL-p2034-947a6ed86f1e42bf89f54f95f149cbbdbf30f2702eb32c82dc6640140fcf3b7d3</originalsourceid><addsrcrecordid>eNp9kE1LAzEQhoMoWKsH_0HAm7B18rGbzVGLX1ARRMFbyG4murXdrMlutf_eSgvePA0Dz_sO8xByymDCoBAX-QQYKzXIPTJiec4yVbBin4wAtMy4FK-H5CilOQDXSpUj8vCE3dDbvgktXQaHC1rZhI5u1iu7xtTYlvbvGOKa2tZRbN6wXWHdh0ibltZh2S3wm7bYf4X4kY7JgbeLhCe7OSYvN9fP07ts9nh7P72cZR0HITMtlS3QlYVnKHnlS-1z6XXumdR1VbnKC_BcAcdK8Lrkri4KCUyCr72olBNjcrbt7WL4HDD1Zh6G2G5OGq4UUxq0gg11vqVS3WxfNF1sljauzSpEk5udKtM5_x_MwPy6_QuIH2Eta6o</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>2771790970</pqid></control><display><type>conference_proceeding</type><title>Reputation model based on Bayesian theory and eigenvector in complex networks</title><source>AIP Journals Complete</source><creator>Zahi, Aseel Hussein ; hasson, Saad talib</creator><contributor>Fadhel, Fadhel Subhi ; Al-Qabani, Aamena Rasim ; Jber, Nasreen Raheem ; Sultani, Zainab Namh ; Alsabbagh, Akram Abbas ; Khudhair, Bashaer Abbas ; Sadiq, Ibrahim Abdelmahdi</contributor><creatorcontrib>Zahi, Aseel Hussein ; hasson, Saad talib ; Fadhel, Fadhel Subhi ; Al-Qabani, Aamena Rasim ; Jber, Nasreen Raheem ; Sultani, Zainab Namh ; Alsabbagh, Akram Abbas ; Khudhair, Bashaer Abbas ; Sadiq, Ibrahim Abdelmahdi</creatorcontrib><description>With the enormous increase in digital relations, many users aspire to have been establishing new relations. The problem arises that the relations of the users cannot distinguish trust relations from distrust ones. Therefore, finding an effective reputation for social relations is an important research topic. In this paper, develop reputation model has been provided to improve the reliability of reputation score for social relations. The reputation model classifies into types one is to calculate direct reputation that depends on direct interaction between users, while the second calculates reputation between users according to the recommendation from neighbors. The total reputation score can be produced from the integration between the direct reputation and indirect reputation.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/5.0118904</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Eigenvectors</subject><ispartof>AIP conference proceedings, 2023, Vol.2457 (1)</ispartof><rights>Author(s)</rights><rights>2023 Author(s). Published by AIP Publishing.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://pubs.aip.org/acp/article-lookup/doi/10.1063/5.0118904$$EHTML$$P50$$Gscitation$$H</linktohtml><link.rule.ids>309,310,314,776,780,785,786,790,4498,23909,23910,25118,27901,27902,76127</link.rule.ids></links><search><contributor>Fadhel, Fadhel Subhi</contributor><contributor>Al-Qabani, Aamena Rasim</contributor><contributor>Jber, Nasreen Raheem</contributor><contributor>Sultani, Zainab Namh</contributor><contributor>Alsabbagh, Akram Abbas</contributor><contributor>Khudhair, Bashaer Abbas</contributor><contributor>Sadiq, Ibrahim Abdelmahdi</contributor><creatorcontrib>Zahi, Aseel Hussein</creatorcontrib><creatorcontrib>hasson, Saad talib</creatorcontrib><title>Reputation model based on Bayesian theory and eigenvector in complex networks</title><title>AIP conference proceedings</title><description>With the enormous increase in digital relations, many users aspire to have been establishing new relations. The problem arises that the relations of the users cannot distinguish trust relations from distrust ones. Therefore, finding an effective reputation for social relations is an important research topic. In this paper, develop reputation model has been provided to improve the reliability of reputation score for social relations. The reputation model classifies into types one is to calculate direct reputation that depends on direct interaction between users, while the second calculates reputation between users according to the recommendation from neighbors. The total reputation score can be produced from the integration between the direct reputation and indirect reputation.</description><subject>Eigenvectors</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2023</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNp9kE1LAzEQhoMoWKsH_0HAm7B18rGbzVGLX1ARRMFbyG4murXdrMlutf_eSgvePA0Dz_sO8xByymDCoBAX-QQYKzXIPTJiec4yVbBin4wAtMy4FK-H5CilOQDXSpUj8vCE3dDbvgktXQaHC1rZhI5u1iu7xtTYlvbvGOKa2tZRbN6wXWHdh0ibltZh2S3wm7bYf4X4kY7JgbeLhCe7OSYvN9fP07ts9nh7P72cZR0HITMtlS3QlYVnKHnlS-1z6XXumdR1VbnKC_BcAcdK8Lrkri4KCUyCr72olBNjcrbt7WL4HDD1Zh6G2G5OGq4UUxq0gg11vqVS3WxfNF1sljauzSpEk5udKtM5_x_MwPy6_QuIH2Eta6o</recordid><startdate>20230202</startdate><enddate>20230202</enddate><creator>Zahi, Aseel Hussein</creator><creator>hasson, Saad talib</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20230202</creationdate><title>Reputation model based on Bayesian theory and eigenvector in complex networks</title><author>Zahi, Aseel Hussein ; hasson, Saad talib</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p2034-947a6ed86f1e42bf89f54f95f149cbbdbf30f2702eb32c82dc6640140fcf3b7d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Eigenvectors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zahi, Aseel Hussein</creatorcontrib><creatorcontrib>hasson, Saad talib</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zahi, Aseel Hussein</au><au>hasson, Saad talib</au><au>Fadhel, Fadhel Subhi</au><au>Al-Qabani, Aamena Rasim</au><au>Jber, Nasreen Raheem</au><au>Sultani, Zainab Namh</au><au>Alsabbagh, Akram Abbas</au><au>Khudhair, Bashaer Abbas</au><au>Sadiq, Ibrahim Abdelmahdi</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Reputation model based on Bayesian theory and eigenvector in complex networks</atitle><btitle>AIP conference proceedings</btitle><date>2023-02-02</date><risdate>2023</risdate><volume>2457</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>With the enormous increase in digital relations, many users aspire to have been establishing new relations. The problem arises that the relations of the users cannot distinguish trust relations from distrust ones. Therefore, finding an effective reputation for social relations is an important research topic. In this paper, develop reputation model has been provided to improve the reliability of reputation score for social relations. The reputation model classifies into types one is to calculate direct reputation that depends on direct interaction between users, while the second calculates reputation between users according to the recommendation from neighbors. The total reputation score can be produced from the integration between the direct reputation and indirect reputation.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/5.0118904</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
fulltext	fulltext
identifier	ISSN: 0094-243X
ispartof	AIP conference proceedings, 2023, Vol.2457 (1)
issn	0094-243X 1551-7616
language	eng
recordid	cdi_proquest_journals_2771790970
source	AIP Journals Complete
subjects	Eigenvectors
title	Reputation model based on Bayesian theory and eigenvector in complex networks
url	https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T19%3A10%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_scita&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Reputation%20model%20based%20on%20Bayesian%20theory%20and%20eigenvector%20in%20complex%20networks&rft.btitle=AIP%20conference%20proceedings&rft.au=Zahi,%20Aseel%20Hussein&rft.date=2023-02-02&rft.volume=2457&rft.issue=1&rft.issn=0094-243X&rft.eissn=1551-7616&rft.coden=APCPCS&rft_id=info:doi/10.1063/5.0118904&rft_dat=%3Cproquest_scita%3E2771790970%3C/proquest_scita%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2771790970&rft_id=info:pmid/&rfr_iscdi=true