{"id":3775,"date":"2021-12-07T11:23:43","date_gmt":"2021-12-07T10:23:43","guid":{"rendered":"https:\/\/datascience.unifi.it\/?page_id=3775"},"modified":"2023-01-26T15:13:29","modified_gmt":"2023-01-26T14:13:29","slug":"interview-with-luigi-brugnano","status":"publish","type":"page","link":"https:\/\/datascience.unifi.it\/index.php\/what-data-scientists-really-do-we-ask-them-for-you\/interview-with-luigi-brugnano\/","title":{"rendered":"Interview with Luigi Brugnano"},"content":{"rendered":"<p><strong>Luigi Brugnano<\/strong>\u00a0was\u00a0our guest to the Seventh seminar D2 series, he\u2019s a professor of Numerical Analysis at the Department of\u00a0<a href=\"https:\/\/www.dimai.unifi.it\/\" target=\"_blank\" rel=\"noopener\"><u>Mathematics and Computer Science \u201cUlisse Dini\u201d<\/u><\/a>\u00a0at the University of Florence.\u00a0Before he presented his\u00a0research,\u00a0he dedicated his seminar to\u00a0Francesca Romana Nardi, who was a dear colleague and friend, part of our Steering group as deputy director,\u00a0and\u00a0who passed away last October.<\/p>\n<p>As\u00a0explained\u00a0in the abstract\u00a0of his work\u00a0\u201cRecent advances in bibliometric indexes and their implementation\u201d,\u00a0bibliometric indexes are\u00a0used to evaluate\u00a0scientific production, research groups\u00a0performance,\u00a0and impact of\u00a0journals.\u00a0Even if these indexes don\u2019t enter into the\u00a0merits\u00a0of specific research, they can provide\u00a0an idea of the\u00a0impact of a certain study\u00a0among\u00a0the scientific community.\u00a0As professor Brugnano pointed out, the currently used indexes often have drawbacks and vary for different subjects of investigation. For this reason,\u00a0he and his colleague professor Amodio proposes\u00a0an alternative index, based on the Google PageRank\u00a0method to rank web pages by random surfer model.\u00a0<i>PaperRank\u00a0<\/i>and<i>\u00a0AuthorRank<\/i>\u00a0are the new indexes proposed that\u00a0has also been recently applied\u00a0in the Scopus database.<\/p>\n<p>As we were listening to his speech, some aspects aroused our interest, and here\u2019s what we asked him.<\/p>\n<p><i>Could you explain to someone who doesn\u2019t know what a bibliometric index is, why it\u2019s so important to have an evaluation method to measure the impact of a research or a study among the scientific community?<\/i><\/p>\n<p>As I told in my talk, bibliometrics indexes are only a rough measure of the impact of research on the scientific community, so that they should be used only to have a gross idea of the impact of research. However, for this purpose, they can be very useful.<\/p>\n<p><i>How the alternative index your study propose can improve how we rank papers, authors, and scientific journals?<\/i><\/p>\n<p>Many indexes have a lot of inconveniences and, moreover, they usually strongly depend on the specific field of research. A more standardized approach was then needed. The proposed index is based on the very same approach of the Google PageRank, and everyone knows that Google is very effective in providing a correct ranking of web pages. The proposed index is based on a suitable simplification, only exploiting local data, in order to save complexity. Nevertheless, the final result appears to be quite close to the original Google ranking, so that we expect the new index to be effective as well.<\/p>\n<p>Luigi Brugnano is also a member of our center. More information about his research can be found on his personal\u00a0<a href=\"https:\/\/web.math.unifi.it\/users\/brugnano\/\">page<\/a>.<\/p>\n<p>You can access the recording of this and all other seminars at this\u00a0<a href=\"https:\/\/datascience.unifi.it\/index.php\/seminar\/\">link<\/a>. (Registration needed)<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Luigi Brugnano\u00a0was\u00a0our guest to the Seventh seminar D2 series, he\u2019s a professor of Numerical Analysis at the Department of\u00a0Mathematics and Computer Science \u201cUlisse Dini\u201d\u00a0at the University of Florence.\u00a0Before he presented &#8230;<\/p>\n","protected":false},"author":12,"featured_media":3814,"parent":3762,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-3775","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/pages\/3775","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/comments?post=3775"}],"version-history":[{"count":3,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/pages\/3775\/revisions"}],"predecessor-version":[{"id":3816,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/pages\/3775\/revisions\/3816"}],"up":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/pages\/3762"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/media\/3814"}],"wp:attachment":[{"href":"https:\/\/datascience.unifi.it\/index.php\/wp-json\/wp\/v2\/media?parent=3775"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}