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Social network analysis by Turiyam graphs
A single valued neutrosophic set represented the uncertainty of real life situations in terms of membership [Formula: see text], indeterminacy [Formula: see text] and non-membership [Formula: see text] degree. However, this uncertainty cannot be limited to those three degrees; there is also an addit...
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Published in: | BMC research notes 2023-08, Vol.16 (1), p.170-170, Article 170 |
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description | A single valued neutrosophic set represented the uncertainty of real life situations in terms of membership [Formula: see text], indeterminacy [Formula: see text] and non-membership [Formula: see text] degree. However, this uncertainty cannot be limited to those three degrees; there is also an additional refusal degree. For this issue, the Turiyam set is an appropriate tool, which described the neutrosophic refusal degree of this situation as a liberal [Formula: see text] degree in addition to those three degrees. The graphical representation of this situation is required for knowledge processing. For this purpose, the Turiyam graph was introduced as an extension of the single valued neutrosophic graph. This graph is helpful when the depictions of the vertices or their relationships or both, are considered in terms of membership [Formula: see text], indeterminacy [Formula: see text], non-membership [Formula: see text] and liberal [Formula: see text] degrees. The goal of this paper is to introduce the degree, order and size in the context of Turiyam graphs and examine a social network (SN) with the help of this graph.
In this regard, the degree, order and size in the context of Turiyam graphs are studied. The feasibility of this Turiyam graph is shown by employing its concept in a social network (SN). Finally, the advantage of the Turiyam graph over the existing graph theories is recognized by viewing its better framework. |
doi_str_mv | 10.1186/s13104-023-06435-7 |
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In this regard, the degree, order and size in the context of Turiyam graphs are studied. The feasibility of this Turiyam graph is shown by employing its concept in a social network (SN). Finally, the advantage of the Turiyam graph over the existing graph theories is recognized by viewing its better framework.</description><identifier>ISSN: 1756-0500</identifier><identifier>EISSN: 1756-0500</identifier><identifier>DOI: 10.1186/s13104-023-06435-7</identifier><identifier>PMID: 37580772</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Analysis ; Consciousness ; Degree ; Graph theory ; Impact factors ; Order ; Research Note ; Single valued neutrosophic graph ; Size ; Social network ; Social networks ; Social organization ; Turiyam graph ; Visualization</subject><ispartof>BMC research notes, 2023-08, Vol.16 (1), p.170-170, Article 170</ispartof><rights>2023. BioMed Central Ltd., part of Springer Nature.</rights><rights>COPYRIGHT 2023 BioMed Central Ltd.</rights><rights>2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>BioMed Central Ltd., part of Springer Nature 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c549t-db7be348d0f315a044a6f23ef87cd2fd08668e61848fab05bf4fdf128d7f1963</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10424366/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2852062449?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37580772$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ganati, Gamachu Adugna</creatorcontrib><creatorcontrib>Repalle, V N Srinivasa Rao</creatorcontrib><creatorcontrib>Ashebo, Mamo Abebe</creatorcontrib><title>Social network analysis by Turiyam graphs</title><title>BMC research notes</title><addtitle>BMC Res Notes</addtitle><description>A single valued neutrosophic set represented the uncertainty of real life situations in terms of membership [Formula: see text], indeterminacy [Formula: see text] and non-membership [Formula: see text] degree. However, this uncertainty cannot be limited to those three degrees; there is also an additional refusal degree. For this issue, the Turiyam set is an appropriate tool, which described the neutrosophic refusal degree of this situation as a liberal [Formula: see text] degree in addition to those three degrees. The graphical representation of this situation is required for knowledge processing. For this purpose, the Turiyam graph was introduced as an extension of the single valued neutrosophic graph. This graph is helpful when the depictions of the vertices or their relationships or both, are considered in terms of membership [Formula: see text], indeterminacy [Formula: see text], non-membership [Formula: see text] and liberal [Formula: see text] degrees. The goal of this paper is to introduce the degree, order and size in the context of Turiyam graphs and examine a social network (SN) with the help of this graph.
In this regard, the degree, order and size in the context of Turiyam graphs are studied. The feasibility of this Turiyam graph is shown by employing its concept in a social network (SN). Finally, the advantage of the Turiyam graph over the existing graph theories is recognized by viewing its better framework.</description><subject>Analysis</subject><subject>Consciousness</subject><subject>Degree</subject><subject>Graph theory</subject><subject>Impact factors</subject><subject>Order</subject><subject>Research Note</subject><subject>Single valued neutrosophic graph</subject><subject>Size</subject><subject>Social network</subject><subject>Social networks</subject><subject>Social organization</subject><subject>Turiyam graph</subject><subject>Visualization</subject><issn>1756-0500</issn><issn>1756-0500</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkktv1DAUhSMEoqXwB1igSGzoIuX67axQVfEYqVIXjNhaTmynHpJ4sJPC_Hs8M6U0CHlh6_q759pHpyheI7hASPL3CREEtAJMKuCUsEo8KU6RYLwCBvD00fmkeJHSBoAjKdHz4oQIJkEIfFqcfw2t13052ulniN9LPep-l3wqm125nqPf6aHsot7eppfFM6f7ZF_d72fF-tPH9dWX6vrm8-rq8rpqGa2nyjSisYRKA44gpoFSzR0m1knRGuwMSM6lzQ-h0ukGWOOoMw5haYRDNSdnxeooa4LeqG30g447FbRXh0KIndJx8m1vlRHQYkIJ4hJRxnlNLQYMCFFNjOV11vpw1NrOzWBNa8cp6n4hurwZ_a3qwp3KtmJK-P417-4VYvgx2zSpwafW9r0ebZiTwpLlcQRRmtG3_6CbMMds54HCwDGl9V-q0_kHfnQhD273oupScKgx4pxl6uI_VF7GDr4No3U-1xcN54uGzEz219TpOSW1uvm2ZPGRbWNIKVr3YAgCtQ-WOgZL5WCpQ7CUyE1vHlv50PInSeQ3xCXEIQ</recordid><startdate>20230814</startdate><enddate>20230814</enddate><creator>Ganati, Gamachu Adugna</creator><creator>Repalle, V N Srinivasa Rao</creator><creator>Ashebo, Mamo Abebe</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20230814</creationdate><title>Social network analysis by Turiyam graphs</title><author>Ganati, Gamachu Adugna ; Repalle, V N Srinivasa Rao ; Ashebo, Mamo Abebe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c549t-db7be348d0f315a044a6f23ef87cd2fd08668e61848fab05bf4fdf128d7f1963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Analysis</topic><topic>Consciousness</topic><topic>Degree</topic><topic>Graph theory</topic><topic>Impact factors</topic><topic>Order</topic><topic>Research Note</topic><topic>Single valued neutrosophic graph</topic><topic>Size</topic><topic>Social network</topic><topic>Social networks</topic><topic>Social organization</topic><topic>Turiyam graph</topic><topic>Visualization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ganati, Gamachu Adugna</creatorcontrib><creatorcontrib>Repalle, V N Srinivasa Rao</creatorcontrib><creatorcontrib>Ashebo, Mamo Abebe</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Opposing Viewpoints Resource Center</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Biological Science Database</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMC research notes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ganati, Gamachu Adugna</au><au>Repalle, V N Srinivasa Rao</au><au>Ashebo, Mamo Abebe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Social network analysis by Turiyam graphs</atitle><jtitle>BMC research notes</jtitle><addtitle>BMC Res Notes</addtitle><date>2023-08-14</date><risdate>2023</risdate><volume>16</volume><issue>1</issue><spage>170</spage><epage>170</epage><pages>170-170</pages><artnum>170</artnum><issn>1756-0500</issn><eissn>1756-0500</eissn><abstract>A single valued neutrosophic set represented the uncertainty of real life situations in terms of membership [Formula: see text], indeterminacy [Formula: see text] and non-membership [Formula: see text] degree. However, this uncertainty cannot be limited to those three degrees; there is also an additional refusal degree. For this issue, the Turiyam set is an appropriate tool, which described the neutrosophic refusal degree of this situation as a liberal [Formula: see text] degree in addition to those three degrees. The graphical representation of this situation is required for knowledge processing. For this purpose, the Turiyam graph was introduced as an extension of the single valued neutrosophic graph. This graph is helpful when the depictions of the vertices or their relationships or both, are considered in terms of membership [Formula: see text], indeterminacy [Formula: see text], non-membership [Formula: see text] and liberal [Formula: see text] degrees. The goal of this paper is to introduce the degree, order and size in the context of Turiyam graphs and examine a social network (SN) with the help of this graph.
In this regard, the degree, order and size in the context of Turiyam graphs are studied. The feasibility of this Turiyam graph is shown by employing its concept in a social network (SN). Finally, the advantage of the Turiyam graph over the existing graph theories is recognized by viewing its better framework.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>37580772</pmid><doi>10.1186/s13104-023-06435-7</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Consciousness Degree Graph theory Impact factors Order Research Note Single valued neutrosophic graph Size Social network Social networks Social organization Turiyam graph Visualization |
title | Social network analysis by Turiyam graphs |
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