جستجوی مقالات مرتبط با کلیدواژه "نمودار استراتژیک" در نشریات گروه "پزشکی"

Topic evolutions of scientific and academic disciplines can be clarified by drawing scientific maps and identifies emerging or developed topics of scientific disciplines, sub-topics and the relationship between different topics of a discipline. The purpose of this study is to draw a strategic diagram to analyze the developments of the last twenty years of library and information science field.

This was a Scientometrics study with co-occurrence analysis of words that was conducted on ten journals with the highest impact factor in the field of library and information science. Twenty years (1998-2017) publications were extracted from LISTA database and imported into SciMAT software. After preparing the data, all publications were divided into four time periods, strategic diagrams of each period were drawn and topic clusters were analyzed

The largest clusters of the first two periods were “Information Retrieval” and “Bibliometrics”, which in the next period “Citation-Analysis” appeared instead of “Information Retrieval” cluster, but nevertheless the largest node of this cluster was “Information Retrieval”. These clusters were the most developed topics in the field of library and information science

Information retrieval and bibliometrics are at the forefront of library and information science. Sentiment analysis and information literacy with a cognitive approach are emerging topics in the field. Also, studies related to information production and related indicators have led to qualitative research.

Co-word analysis, based on Co-occurrence, as one of the important techniques of Scientometrics and bibliometrics, enables the analysis of the content of scientific documents of the specific Research Area. The purpose of the present study is visualize HPV clusters relationships and thematic trends in the world.

The research type is an applied one with analytical approach and it has been done using co-word analysis. The population of this study consists of articles’ keywords indexed during 2014-2018 in the Web of Science (WoS) in HPV subject area. The total numbers of the retrieved and analyzed keywords in this study were 13249. Some software like SPSS, UCINET and VOSViewer were used for data integration and analysis.

The findings showed that the keyword “CERVICAL CANCER” have had the highest frequency and with “CERVICAL INTRAEPITHELIAL NEOPLASIA” and they were co-word couples. The results of the strategic diagram showed that the most clusters in HPV placed in third area of strategic diagram, it means these subjects (clusters) were emerging or declining.

Co-word analysis is suitable method for discover and visualize different sciences and their prominent patterns, hidden relationships and thematic trends research’ subject areas. The results of these analysis and findings of such researches will help research policy makers