Human Information Interaction

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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 and Aim: The purpose of this study was to compare the impact of text based indexing and folksonomy in image retrieval via Google search engine.
Methods: This study used experimental method. The sample is 30 images extracted from the book “Gray anatomy”. The research was carried out in 4 stages; in the first stage, images were uploaded to an “Instagram” account so the images are tagged with 600 contacts. In the second stage, the images were uploaded onto 2 blogs using text-based and folksonomy indexing, respectively. In the third stage, 118 medical experts were asked to find one of the images in Google’s image search engine. Finally, in the fourth stage, the rank of the retrieved images from the 2 blogs was reviewed.
Results: Based on the findings; in descriptive analysis, the scores of retrieved images was calculated and in the inferential analysis, independent Chi² test was used to compare the search results of two blogs. The reported difference was significant.
Conclusion: The results showed that the folksonomy improves images’ retrieval by Google search engine compared to the text-based indexing.