{"title":"Scientometric Analysis of Subjective Interest of Participants in a Scientific Event to Reports Presented and the Event As a Whole","authors":"V. V. Mironov","doi":"10.3103/s0147688224700047","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>The paper describes the creation of a new scientometric methodology for analyzing the subjective interest of direct participants in scientific events (conferences, symposia, forums, and others) in reports presented at them and in these events as a whole. The methodology corresponds to the methodology of the Hirsch citation index and, at the same time, introduces significant additions and changes to it. In particular, the methodology provides a quantitative measure of the <i>it-is-interesting</i> quality category. The average event interest is determined. Votes of interest in papers are calculated and used as the basis for drawing the event interest square. The length of a side of this square depicts the event interest index (<i>I</i>-index). <i>I</i>-indices are used as the basis for proposing an event-grading methodology (or logic). This methodology forms categories of quality, such as <i>excellent</i>, <i>good</i>, <i>average</i>, and <i>poor</i>. The theory is embodied in the INTERES software suite. This suite makes real-time calculations of various numerical indicators of the event itself and its participants. The winners of the event in the <i>author’s interest</i> category are invited by representatives of scientific journals to publish reports in the form of scientific articles.</p>","PeriodicalId":43962,"journal":{"name":"Scientific and Technical Information Processing","volume":"12 1","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific and Technical Information Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3103/s0147688224700047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
The paper describes the creation of a new scientometric methodology for analyzing the subjective interest of direct participants in scientific events (conferences, symposia, forums, and others) in reports presented at them and in these events as a whole. The methodology corresponds to the methodology of the Hirsch citation index and, at the same time, introduces significant additions and changes to it. In particular, the methodology provides a quantitative measure of the it-is-interesting quality category. The average event interest is determined. Votes of interest in papers are calculated and used as the basis for drawing the event interest square. The length of a side of this square depicts the event interest index (I-index). I-indices are used as the basis for proposing an event-grading methodology (or logic). This methodology forms categories of quality, such as excellent, good, average, and poor. The theory is embodied in the INTERES software suite. This suite makes real-time calculations of various numerical indicators of the event itself and its participants. The winners of the event in the author’s interest category are invited by representatives of scientific journals to publish reports in the form of scientific articles.
期刊介绍：
Scientific and Technical Information Processing is a refereed journal that covers all aspects of management and use of information technology in libraries and archives, information centres, and the information industry in general. Emphasis is on practical applications of new technologies and techniques for information analysis and processing.
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