كليدواژه :
ﺳﺎزﻣﺎن دﻫﯽ داﻧﺶ , ﻫﻢ رﺧﺪادي واژﮔﺎن , ﻋﻠﻢ ﺳﻨﺠﯽ , ﺗﺤﻠﯿﻞ ﺧﻮﺷﻪ اي , ﻣﻘﯿﺎس ﭼﻨﺪﺑﻌﺪي
چكيده فارسي :
ﭼﮑﯿﺪه
ﻫﺪف: ﻫﺪف از اﻧﺠﺎم اﯾﻦ ﭘﮋوﻫﺶ، ﺑﺮرﺳﯽ و ﻣﺼﻮرﺳﺎزي ﺳﺎﺧﺘﺎر ﻓﮑﺮي ﺣﻮزه ﺳﺎزﻣﺎن دﻫﯽ داﻧﺶ در وﺑﮕﺎه ﻋﻠﻢ در ﺑﺎزه زﻣﺎﻧﯽ 2018-1900 و ﺧﻮﺷﻪ ﺑﻨﺪي ﻣﻔﺎﻫﯿﻢ و روﯾﺪادﻫﺎي ﻧﻮﭘﺪﯾﺪ اﯾﻦ ﻗﻠﻤﺮو ﻣﻮﺿﻮﻋﯽ اﺳﺖ.
روش ﺷﻨﺎﺳﯽ: ﭘﮋوﻫﺶ ﺣﺎﺿﺮ از ﻧﻮع ﮐﺎرﺑﺮدي اﺳﺖ و ﺑﻪ روش ﻫﻢ واژﮔﺎﻧﯽ ﺑﺎ روﯾﮑﺮد ﺗﺤﻠﯿﻠﯽ اﻧﺠﺎم ﺷﺪه اﺳﺖ. ﺑﻪ ﻣﻨﻈﻮر اﻧﺠﺎم ﺗﺤﻠﯿﻞ ﻫﻢ واژﮔﺎﻧﯽ، از ﺧﻮﺷﻪﺑﻨﺪي ﺳﻠﺴﻠﻪ ﻣﺮاﺗﺒﯽ و ﻣﻘﯿﺎس ﭼﻨﺪﺑُﻌﺪي اﺳﺘﻔﺎده ﺷﺪه اﺳﺖ. ﺟﺎﻣﻌﻪ اﯾﻦ ﭘﮋوﻫﺶ ﺗﻤﺎﻣﯽ ﮐﻠﯿﺪواژه ﻫﺎي )27124 ﮐﻠﯿﺪواژه( ﻣﻘﺎﻻت ﻗﻠﻤﺮو ﻣﻮﺿﻮﻋﯽ ﺳﺎزﻣﺎن دﻫﯽ داﻧﺶ اﺳﺖ ﮐﻪ از وﺑﮕﺎه ﻋﻠﻢ در ﺑﺎزه زﻣﺎﻧﯽ 2018-1975 اﺳﺘﺨﺮاج ﺷﺪه اﺳﺖ. ﺑﻪ ﻣﻨﻈﻮر ﺗﺤﻠﯿﻞ داده ﻫﺎي ﮔﺮدآوري ﺷﺪه از ﻧﺮم اﻓﺰارﻫﺎي VOS Viewer ،UCINET،SPSS و NetDraw اﺳﺘﻔﺎده ﺷﺪه اﺳﺖ.
ﯾﺎﻓﺘﻪ ﻫﺎ: ﺗﺤﻠﯿﻞ داده ﻫﺎ ﺣﺎﮐﯽ از آن اﺳﺖ ﮐﻪ زوج ﻫﺎي ﻫﻢ واژﮔﺎﻧﯽ »ﺳﯿﺴﺘﻢ اﻃﻼﻋﺎت ﺟﻐﺮاﻓﯿﺎﯾﯽ- ﺳﯿﺴﺘﻢ اﻃﻼﻋﺎت ﺟﻐﺮاﻓﯿﺎﯾﯽ« و »ﮐﺘﺎﺑﺨﺎﻧﻪ داﻧﺸﮕﺎﻫﯽ- ﺳﻮاد اﻃﻼﻋﺎﺗﯽ« ﺑﯿﺸﺘﺮﯾﻦ ﻫﻢ رﺧﺪادي را ﺑﻪ ﺧﻮد اﺧﺘﺼﺎص داده اﻧﺪ. ﺧﻮﺷﻪ ﺑﻨﺪي ﻣﻮﺿﻮﻋﺎت ﺳﺎزﻣﺎن دﻫﯽ داﻧﺶ ﺑﻪ روش ﺗﺤﻠﯿﻞ ﺧﻮﺷﻪ اي ﺣﺎﮐﯽ از آن اﺳﺖ ﮐﻪ در ﺑﺎزه زﻣﺎﻧﯽ ﻣﻮرد ﺑﺮرﺳﯽ در ﻣﺠﻤﻮع 27 ﺧﻮﺷﻪ وﺟﻮد دارد ﮐﻪ 10 ﺧﻮﺷﻪ ﻣﺮﺑﻮط ﺑﻪ ﺑﺎزه زﻣﺎﻧﯽ 1999-1975 و 17 ﺧﻮﺷﻪ ﺑﻪ ﺑﺎزه زﻣﺎﻧﯽ 2018-2000 اﺧﺘﺼﺎص دارد.
ﻧﺘﯿﺠﻪ ﮔﯿﺮي: ﻧﺘﺎﯾﺞ ﻧﺸﺎن داد ﮐﻪ در دوره ﻫﺎي زﻣﺎﻧﯽ، ﺧﻮﺷﻪ ﻫﺎ از ﻧﻈﺮ ﻫﻤﭙﻮﺷﺎﻧﯽ ﻣﻮﺿﻮﻋﯽ ﺗﺎ ﺣﺪ زﯾﺎدي ﻣﺸﺎﺑﻪ اﻧﺪ. ﺑﻪ ﺑﯿﺎن دﯾﮕﺮ، ﺷﺶ ﺧﻮﺷﻪ و ﺗﻌﺪادي از ﮐﻠﯿﺪواژه ﻫﺎ از ﻟﺤﺎظ ﻣﺤﺘﻮا ﺷﺒﺎﻫﺖ دارﻧﺪ. ﺑﺎ اﯾﻦ وﺟﻮد در ﺑﺎزه زﻣﺎﻧﯽ دوم، ﺧﻮﺷﻪ ﻫﺎ ﺑﻪ دﻟﯿﻞ ﺗﻌﺪاد و وﺳﻌﺖ ﮔﺴﺘﺮده ﺗﺮ ﻫﺴﺘﻨﺪ.
چكيده لاتين :
Objective: Knowledge organization is one of the key pillars of Library and Information Science (LIS) studies and is one of the important steps and approaches in the process of knowledge intellectual structure of the knowledge organization in the Web of Science (WoS) from 1975 to 2018 and to cluster emerging concepts and events of this subject area.
Methodology: In this paper, researchers applied scientometrics methods. We used a co-occurrence analysis method with an analytical approach. In order to do the research, we utilized hierarchical clustering and multidimensional scaling. The research population consists of all keywords (27124 keywords) of articles in the field of knowledge organization retrieved from the Web of Science (WOS) citation database between 1975 and 2018. SPSS, UCINET, VOS Viewer and NetDraw utilized for preparing and analyzing data and also for visualizing maps.
Findings: We selected the most frequent keywords to provide a complete overview of current studies. The data analysis showed that between 1975 and 1999 the keywords “information technology”, “information system” and “internet” and between 2000-2018 the keywords “information literacy”, “information retrieval” and “information” were most frequent. Findings also showed that the keywords “geographic information system- geographic information system” and “information literacy- academic library” have the most co-word occurrence. In the first period (1975-1999), 10 clusters including information retrieval, multimedia, Automatic cataloging and indexing, library and education, knowledge management, information system research, strategic planning, information retrieval system, user training, information resource management, and the second period (2000-2018), 17 clusters formed including user training, information literacy training, librarianship, and information research, uncertainly in Health Information Behavior, information behavior, Measurement studies, electronic government, social network, knowledge sharing, knowledge organization, knowledge management, digital divide, information retrieval, classification, and indexing, Computer Cataloging, data mining, and Social Cataloging
Conclusion: The results showed that despite the relative overlap between clusters of the two periods, the topics in the second period (2000-2018) because of the increasing number and scope of the keywords were of a higher number. Six clusters are similar in content andkeywords in the two periods studied. An overview of the results of cluster analysis between 1975 and 2018 showed that the clusters were similar and overlapped. Although the number of clusters in the second period (2000-2018) were more associated. Six clusters were similar in terms of content and the number of keywords in the two periods. This represents about 60% similarities for the 1975–1999 time period and 35% for the time period 2000–2018.
