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Social network analysis of Iranian researchers on emergency medicine: a sociogram analysis
  1. Hamed Basir Ghafouri1,
  2. Hafez Mohammadhassanzadeh2,
  3. Farhad Shokraneh3,4,
  4. Maryam Vakilian5,
  5. Shervin Farahmand6
  1. 1Emergency Department, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran
  2. 2Scientometrics Research Center, Kerman University of Medical Sciences, Kerman, Iran
  3. 3Research Center for Pharmaceutical Nanotechnology, Tabriz University of Medical Sciences, Tabriz, Iran
  4. 4Iranian Center for Evidence-Based Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
  5. 5Department of Emergency Medicine, Rasul-Akram Hospital, Tehran University of Medical Sciences, Tehran, Iran
  6. 6Department of Emergency Medicine, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran
  1. Correspondence to Hafez Mohammadhassanzadeh, Scientometrics Research Center, Kerman University of Medical Sciences, Kerman 76175, Iran; hafezhassanzadeh60{at}gmail.com; Farhad Shokraneh, Research Center for Pharmaceutical Nanotechnology, Tabriz University of Medical Sciences, Tabriz, Iran; shokranehf{at}tbzmed.ac.ir

Abstract

Background The purpose of this study was to report interaction patterns among Iranian authors of emergency medicine using social network analysis methodology, focusing on coauthorship network.

Methods The bibliographic data of Iranian authors on the ‘emergency medicine’ field during the years 2001–2011 were retrieved from the Science Citation Index Expanded database. Co-occurrence matrices were made by BibExcel and were imported to Ucinet and NetDraw to delineate coauthorship network. To detect structural patterns among authors, we considered some measures of social network analysis, such as density, centralisation indices, component analysis and cut-points. Lastly, subject experts separately analysed the content of papers.

Results Of 116 papers published, the network was composed of 10 components, with the largest component having 25 authors. Using social network analysis measures, we identified science bottlenecks in knowledge sharing, hub authors and accelerators of information flow. Topic analysis showed ‘Wounds and Injuries’ as the most recent theme in all components because of existence of national registry for trauma, high burden of road traffic injuries and research priority of injuries in Iran.

Conclusions because of Iranian low productivity in the emergency medicine field, social network analysis seems to be a proper option for bibliometrics to identify central authors and detect knowledge structure in this field.

  • communications
  • methods
  • research, clinical

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