Human Information Interaction

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Background and Aim: The intellectual structure of knowledge and its research front can be identified by co-word analysis. This research attempts to reveal the intellectual structure of knowledge in information behavior inquiries, via co-word, network analysis, and science visualization tools.

Methods: Bibliometric methodology and social network analysis are used. Population comprises 2146 records in the field of Information Behavior during 2006-2014, which had been retrieved from Web of Science.

Results: finding indicate that “Information Retrieval” is the most frequent keyword in the Information Behavior inquiries. Also, “Information Needs and Information Behavior” are the most frequent co-occurred keywords. Use of hierarchical cluster analysis by Ward method led to the creation of 11 topical clusters in Information Behavior, including among others: “User Studies,”  “Health Information Behavior,” and “Social Networks.”

Conclusions: The results indicated that the co-word analysis can be well uncover the intellectual structure of scientific disciplines. The results of the strategic diagram showed that “health information behavior”, “user studies”, “social networks”, and “relevance in information retrieval” are among well-matured and central clusters with pivotal role. Moreover, four clusters, including “information resources”, “Web search”, “information retrieval”, and “information management” are among emerging or declining clusters. Finally, although the “interface and information technology” cluster is in the central part, but it is underdeveloped. Due to the frequency of keywords on the one hand, and clusters obtained on the other hand, it seems to be a close relationship between information behavior and health studies. Therefore, it seem that many of information behavior studies have been conducted in health and medical communities

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Background and Aim: Due to the importance of scientific relations between university and industry, it is so important to identify the factors that affect these relations. So,the aim of this study is to investigate the effect of spatial proximity on university- industry collaboration. The collaboration indicator which is used here is University- Industry Co-publications.

Methods: The research is done by spatial scientometrics aproach and the university- industry co-publications of Iran in the period 2010-2014 from Science Citation Index Expanded of Web of Science were analyzed. In order to to investigate the effect of spatial proximity the Gravity Model was employed. This model for collaboration implays that co-publication between university and industry depens on their total scientific output  and the geographical distance between them.

Results: the research findings showed the significant effect of spatial proximity on co-publication.

Conclusion. The findings of this research can be used in research policy making in the way that on the one hand, both university and industry benefit from the co-publication advantages by domestic knowledge flow and on the other hand the rsearchers be able to find propr reseach partner who are not co-located with them

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Background: The performance and collaboration of universities could be measured through scientific publications and scientometrics indicators. The purpose is to describe state of scientific publications at Kharazmi University and determine the important players of the Co-authorship networks at this University in three levels: Researchers, organizations and countries - in the web of science from 1994 to 2020.
Method: This is a scientometrics study. Kharazmi University’s’ 4734 records from Web of Science  both text and Excel format had been extracted. Data visualization was performed using VOSviewer and the GunnMap.
Finding: Results showed that Kharazmi University publications have received an average of 10.68 citations with H-index of 75. The five first subject areas are engineering, chemistry, physics, mathematics, and computer science.  For scientific co-authorship among Iranian organizations, Islamic Azad, Tehran, Tarbiat Modares Universities; among foreign organizations, Putra University, Malaysia, California and Montreal; Among countries, United States, Canada and the United Kingdom are ranked first to third. Vatanpour, Majlesara Jahromi, and Divsalar are the top three researcher. Vatanpour is most effective researcher quantitatively and qualitatively. Fields of chemistry (organic and polymer / decomposition and application), biology, industrial engineering and engineering make main authors' of co-authorship network. Main players in the organization network are Iranian organizations, and more in Tehran. Although Kharazmi University cooperation with other countries is not acceptable, but the drawing of the co-authorship network of countries shows that cooperation is developing at the international level. Also, scientific co-authorship with Iranian organizations, especially foreign organizations, has increased the citation of Kharazmi University publication.
Conclusion: Kharazmi University publications had been growing significantly on the web of science database in recent years in term of quantity and quality. More scientific teamwork is suggested for Kharazmi University at the international level. Also, publication of topmost thesis and dissertations on the Web of Science should be considered.