Exploring Citation and Author Collaboration Network with Graph Database

preprint OA: closed
Full text JSON View at publisher
AI-generated deep summary by claude@2026-07, 2026-07-04 · read from full text

The paper explores how to model and query scholarly citation and author collaboration networks using the Neo4j graph database, leveraging the DBLP citation dataset and the Cypher query language. It analyzes the resulting citation and co-authorship networks to identify influential papers and authors, characterize co-author network structures, and compute researcher impact metrics. A key limitation stated is that the work is a Research Square preprint that has not been peer reviewed by a journal. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

Abstract There are several research papers available online that span a wide range of disciplines. Researchers are using this data through search engines, digital libraries and professional networks. To make effective use of this data we propose building a citation network consisting of papers, authors and citations. Complex queries based on connections can be best handled by graph databases like Neo4j. Neo4j is a graph database that is specially designed for interconnected data. Neo4j represents data in the form of nodes and relationships and uses Cypher query language for CRUD (CREATE, READ, UPDATE and DELETE) operations. The proposed study, uses DBLP citation dataset to model citation and author collaboration networks using Neo4j. The expressiveness of Cypher query language in extracting insights from vast bibliographic data has been explored. The citation and author collaboration networks are analyzed to identify influential papers, influential authors, co-author networks, and to compute researcher’s impact metrics.
Full text 9,806 characters · extracted from preprint-html · click to expand
Exploring Citation and Author Collaboration Network with Graph Database | 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 Exploring Citation and Author Collaboration Network with Graph Database Jyoti Yadav, Mayuri Bhandari, Punam Nikam This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4378237/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract There are several research papers available online that span a wide range of disciplines. Researchers are using this data through search engines, digital libraries and professional networks. To make effective use of this data we propose building a citation network consisting of papers, authors and citations. Complex queries based on connections can be best handled by graph databases like Neo4j. Neo4j is a graph database that is specially designed for interconnected data. Neo4j represents data in the form of nodes and relationships and uses Cypher query language for CRUD (CREATE, READ, UPDATE and DELETE) operations. The proposed study, uses DBLP citation dataset to model citation and author collaboration networks using Neo4j. The expressiveness of Cypher query language in extracting insights from vast bibliographic data has been explored. The citation and author collaboration networks are analyzed to identify influential papers, influential authors, co-author networks, and to compute researcher’s impact metrics. Graph database Neo4j Citation Network Author collaboration network Citation analysis Cypher query language Connected data Data visualization Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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-4378237","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":308427610,"identity":"1742ccea-c13b-44fb-8669-30ea5d70c7fc","order_by":0,"name":"Jyoti Yadav","email":"","orcid":"","institution":"Savitribai Phule Pune University","correspondingAuthor":false,"prefix":"","firstName":"Jyoti","middleName":"","lastName":"Yadav","suffix":""},{"id":308427611,"identity":"dcc5b16c-9008-4851-82b7-8bc927c480ee","order_by":1,"name":"Mayuri Bhandari","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABEUlEQVRIiWNgGAWjYNACA4YEAyAlAURybOwNIBEL4rUY8/McAIlIELQHpoUhceaMBAYoGzvQbT9jJl1RwJBnzn724I2feywSN9x8fnXDjwIJBv727gRsWszO5JhJnjFgKLbsyUu27HkmYbzhdk7ZzR6gwyTOnN2AVcsBoJYGA4bEDUCGBM8BCVmglrQbPEAtBhK52LWcfwPVAmL8OSDBuOHmmbSbf/BpuQGzBciQBtqiOHMG+7HbeG258azYssFAotjgxhtja5kDoEDOYbstYyDBg9Mv55M33mz4Y5NncD7H8OabA3XAqDz+7OabPzZy/O29WLUwMHDAYgQOeAzAJHblIMD+gLDIKBgFo2AUjGwAACmdZWxz20UuAAAAAElFTkSuQmCC","orcid":"","institution":"Sri Balaji University","correspondingAuthor":true,"prefix":"","firstName":"Mayuri","middleName":"","lastName":"Bhandari","suffix":""},{"id":308427612,"identity":"2aefcdd4-b83b-458c-adac-90bc8a005b91","order_by":2,"name":"Punam Nikam","email":"","orcid":"","institution":"Sri Balaji University","correspondingAuthor":false,"prefix":"","firstName":"Punam","middleName":"","lastName":"Nikam","suffix":""}],"badges":[],"createdAt":"2024-05-06 16:33:37","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4378237/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4378237/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":69894651,"identity":"8894f616-2b06-45e5-94bb-279935813e31","added_by":"auto","created_at":"2024-11-26 11:02:10","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":650656,"visible":true,"origin":"","legend":"","description":"","filename":"ExploringCitationandAuthorCollaborationNetwork.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4378237/v1_covered_01bb8728-0cda-4541-8013-2036447a7a22.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Exploring Citation and Author Collaboration Network with Graph Database","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Graph database, Neo4j, Citation Network, Author collaboration network, Citation analysis, Cypher query language, Connected data, Data visualization","lastPublishedDoi":"10.21203/rs.3.rs-4378237/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4378237/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThere are several research papers available online that span a wide range of disciplines. Researchers are using this data through search engines, digital libraries and professional networks. To make effective use of this data we propose building a citation network consisting of papers, authors and citations. Complex queries based on connections can be best handled by graph databases like Neo4j. Neo4j is a graph database that is specially designed for interconnected data. Neo4j represents data in the form of nodes and relationships and uses Cypher query language for CRUD (CREATE, READ, UPDATE and DELETE) operations. The proposed study, uses DBLP citation dataset to model citation and author collaboration networks using Neo4j. The expressiveness of Cypher query language in extracting insights from vast bibliographic data has been explored. The citation and author collaboration networks are analyzed to identify influential papers, influential authors, co-author networks, and to compute researcher\u0026rsquo;s impact metrics.\u003c/p\u003e","manuscriptTitle":"Exploring Citation and Author Collaboration Network with Graph Database","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-06-03 18:04:58","doi":"10.21203/rs.3.rs-4378237/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"cb4f8a18-6718-43a0-9e1f-de2eda496121","owner":[],"postedDate":"June 3rd, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-11-26T10:53:57+00:00","versionOfRecord":[],"versionCreatedAt":"2024-06-03 18:04:58","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4378237","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4378237","identity":"rs-4378237","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00