NAZM: Network Analysis of Zonal Metrics in Persian Poetic Tradition

NAZM: Network Analysis of Zonal Metrics in Persian Poetic Tradition | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article NAZM: Network Analysis of Zonal Metrics in Persian Poetic Tradition Kourosh Shahnazari, Seyed Moein Ayyoubzadeh, Mohammadamin Fazli, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6702052/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 03 Dec, 2025 Read the published version in Social Network Analysis and Mining → Version 1 posted 8 You are reading this latest preprint version Abstract This study formalizes a computational model to simulate classical Persian poets' dynamics of influence through constructing a multi-dimensional similarity network. Using a rigorously curated dataset based on Ganjoor's corpus, we draw upon semantic, lexical, stylistic, thematic, and metrical features to demarcate each poet's corpus. Each is contained within weighted similarity matrices, which are then appended to generate an aggregate graph showing poet-to-poet influence. Further network investigation is carried out to identify key poets, style hubs, and bridging poets by calculating degree, closeness, betweenness, eigenvector, and Katz centrality measures. Further, for typological insight, we use the Louvain community detection algorithm to demarcate clusters of poets sharing both style and theme coherence, which correspond closely to acknowledged schools of literature like Sabk-e Hindi, Sabk-e Khorasani, and the Bazgasht-e Adabi phenomenon. Our findings provide a new data-driven view of Persian literature distinguished between canonical significance and interextual influence, thus highlighting relatively lesser-known figures who hold great structural significance. Combining computational linguistics with literary study, this paper produces an interpretable and scalable model for poetic tradition, enabling retrospective reflection as well as forward-looking research within digital humanities. Persian Classical Poetry Digital Humanities Computational Literary Analysis Poet Influence Network Stylometry Deep Learning Louvain Community Detection Network Centrality Natural Language Processing Persian Literary Tradition Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 03 Dec, 2025 Read the published version in Social Network Analysis and Mining → Version 1 posted Editorial decision: Revision requested 31 Aug, 2025 Reviews received at journal 13 Aug, 2025 Reviewers agreed at journal 11 Aug, 2025 Reviewers agreed at journal 09 Aug, 2025 Reviewers invited by journal 28 May, 2025 Editor assigned by journal 22 May, 2025 Submission checks completed at journal 20 May, 2025 First submitted to journal 19 May, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6702052","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":462990848,"identity":"ba8282b8-4573-4ebe-b786-af116c4fe8d7","order_by":0,"name":"Kourosh Shahnazari","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAs0lEQVRIiWNgGAWjYBACCQh1QI6BgbnxAElajBkYGBsOIASI0JLYQLQWyfYesw8f/txJ3y6R2HCAcYdNHUEt0jxnjGfObHuWu3MGSMuZNMK2yEnkGDPzNhzO3XADpKXtMJFaeP4cTjeAaPlPWIs0WAvb4QSolgNEeL/nWDHjzLbDhhvOPGw4kNiWLNlASIvE8ebNDB/+HJY3OJ588MHHNjt+gragggQS1Y+CUTAKRsEowAEAeD1Bern92W8AAAAASUVORK5CYII=","orcid":"","institution":"Sharif University of Technology","correspondingAuthor":true,"prefix":"","firstName":"Kourosh","middleName":"","lastName":"Shahnazari","suffix":""},{"id":462990850,"identity":"7d04e737-719f-482b-b17f-8bd6753cad2e","order_by":1,"name":"Seyed Moein Ayyoubzadeh","email":"","orcid":"","institution":"Sharif University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Seyed","middleName":"Moein","lastName":"Ayyoubzadeh","suffix":""},{"id":462990852,"identity":"b297ed13-2f63-4c2c-a17f-e0fa3bb4de00","order_by":2,"name":"Mohammadamin Fazli","email":"","orcid":"","institution":"Sharif University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Mohammadamin","middleName":"","lastName":"Fazli","suffix":""},{"id":462990854,"identity":"7331a27a-f3d0-408e-bc68-b2dfd56d5758","order_by":3,"name":"Mohammadali Keshtparvar","email":"","orcid":"","institution":"Amirkabir University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Mohammadali","middleName":"","lastName":"Keshtparvar","suffix":""}],"badges":[],"createdAt":"2025-05-19 21:38:08","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6702052/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6702052/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s13278-025-01537-5","type":"published","date":"2025-12-03T15:58:15+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":97724904,"identity":"f443b522-59cf-422e-9095-338b946684ab","added_by":"auto","created_at":"2025-12-08 16:13:52","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1036649,"visible":true,"origin":"","legend":"","description":"","filename":"PersianPoetsSocialNetwork.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6702052/v1_covered_6228c12c-3acb-4c12-ae25-9ff30190f0b1.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"NAZM: Network Analysis of Zonal Metrics in Persian Poetic Tradition","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"social-network-analysis-and-mining","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"snam","sideBox":"Learn more about [Social Network Analysis and Mining](http://link.springer.com/journal/13278)","snPcode":"13278","submissionUrl":"https://submission.nature.com/new-submission/13278/3","title":"Social Network Analysis and Mining","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Persian Classical Poetry, Digital Humanities, Computational Literary Analysis, Poet Influence Network, Stylometry, Deep Learning, Louvain Community Detection, Network Centrality, Natural Language Processing, Persian Literary Tradition","lastPublishedDoi":"10.21203/rs.3.rs-6702052/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6702052/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"This study formalizes a computational model to simulate classical Persian poets' dynamics of influence through constructing a multi-dimensional similarity network. Using a rigorously curated dataset based on Ganjoor's corpus, we draw upon semantic, lexical, stylistic, thematic, and metrical features to demarcate each poet's corpus. Each is contained within weighted similarity matrices, which are then appended to generate an aggregate graph showing poet-to-poet influence. Further network investigation is carried out to identify key poets, style hubs, and bridging poets by calculating degree, closeness, betweenness, eigenvector, and Katz centrality measures. Further, for typological insight, we use the Louvain community detection algorithm to demarcate clusters of poets sharing both style and theme coherence, which correspond closely to acknowledged schools of literature like Sabk-e Hindi, Sabk-e Khorasani, and the Bazgasht-e Adabi phenomenon. Our findings provide a new data-driven view of Persian literature distinguished between canonical significance and interextual influence, thus highlighting relatively lesser-known figures who hold great structural significance. Combining computational linguistics with literary study, this paper produces an interpretable and scalable model for poetic tradition, enabling retrospective reflection as well as forward-looking research within digital humanities.","manuscriptTitle":"NAZM: Network Analysis of Zonal Metrics in Persian Poetic Tradition","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-05-30 06:54:55","doi":"10.21203/rs.3.rs-6702052/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-08-31T11:48:34+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-08-13T10:23:34+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"43768311985081980512107844991944883155","date":"2025-08-11T05:55:44+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"8919442841462597291021861020868567809","date":"2025-08-10T03:22:52+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-05-28T09:28:25+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-05-22T22:32:26+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-05-20T04:38:34+00:00","index":"","fulltext":""},{"type":"submitted","content":"Social Network Analysis and Mining","date":"2025-05-19T21:27:11+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"social-network-analysis-and-mining","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"snam","sideBox":"Learn more about [Social Network Analysis and Mining](http://link.springer.com/journal/13278)","snPcode":"13278","submissionUrl":"https://submission.nature.com/new-submission/13278/3","title":"Social Network Analysis and Mining","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"21705cdd-8f44-4831-af68-ccdb483a7566","owner":[],"postedDate":"May 30th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-12-08T16:11:50+00:00","versionOfRecord":{"articleIdentity":"rs-6702052","link":"https://doi.org/10.1007/s13278-025-01537-5","journal":{"identity":"social-network-analysis-and-mining","isVorOnly":false,"title":"Social Network Analysis and Mining"},"publishedOn":"2025-12-03 15:58:15","publishedOnDateReadable":"December 3rd, 2025"},"versionCreatedAt":"2025-05-30 06:54:55","video":"","vorDoi":"10.1007/s13278-025-01537-5","vorDoiUrl":"https://doi.org/10.1007/s13278-025-01537-5","workflowStages":[]},"version":"v1","identity":"rs-6702052","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6702052","identity":"rs-6702052","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}