{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T07:14:30Z","timestamp":1782458070082,"version":"3.54.5"},"reference-count":37,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T00:00:00Z","timestamp":1686528000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>On 24 February 2022, the invasion of Ukraine by Russian troops began, starting a dramatic conflict. As in all modern conflicts, the battlefield is both real and virtual. Social networks have had peaks in use and many scholars have seen a strong risk of disinformation. In this study, through an unsupervised topic tracking system implemented with Natural Language Processing and graph-based techniques framed within a biological metaphor, the Italian social context is analyzed, in particular, by processing data from Twitter (texts and metadata) captured during the first month of the war. The system, improved if compared to previous versions, has proved to be effective in highlighting the emerging topics, all the main events and any links between them.<\/jats:p>","DOI":"10.3390\/info14060330","type":"journal-article","created":{"date-parts":[[2023,6,13]],"date-time":"2023-06-13T02:00:45Z","timestamp":1686621645000},"page":"330","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["An Unsupervised Graph-Based Approach for Detecting Relevant Topics: A Case Study on the Italian Twitter Cohort during the Russia\u2013Ukraine Conflict"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4915-0723","authenticated-orcid":false,"given":"Enrico","family":"De Santis","sequence":"first","affiliation":[{"name":"Department of Information Engineering, Electronics and Telecommunications, University of Rome \u201cLa Sapienza\u201d, Via Eudossiana 18, 00184 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1730-5436","authenticated-orcid":false,"given":"Alessio","family":"Martino","sequence":"additional","affiliation":[{"name":"Department of Business and Management, LUISS University, Viale Romania 32, 00197 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesca","family":"Ronci","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Electronics and Telecommunications, University of Rome \u201cLa Sapienza\u201d, Via Eudossiana 18, 00184 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8244-0015","authenticated-orcid":false,"given":"Antonello","family":"Rizzi","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Electronics and Telecommunications, University of Rome \u201cLa Sapienza\u201d, Via Eudossiana 18, 00184 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1080\/09654313.2022.2079074","article-title":"Economic effects of isolating Russia from international trade due to its \u2018special military operation\u2019 in Ukraine","volume":"31","author":"Mardones","year":"2022","journal-title":"Eur. 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