جستجوی مقالات مرتبط با کلیدواژه "authorship network" در نشریات گروه "کتابداری و مدیریت اطلاعات"

The current research aims to investigate the co-authorship network of Iranian universities and research institutions in informetrics research during 2002-2012 using social network analysis.
Using scientometric approach and social network analysis measures, this paper studies co-authorship network of Iranian universities and research institutions in informetrics research. The research population includes 779 articles published in both English and Persian and indexed in 4th edition of scientometrics bibliography during 2002-2012. First, the co-authorship matrix of institutions was drawn by using excel software second, the UCINET and VOSviewer software were utilized for data analysis.
Findings: Results revealed that institutions like Tehran University, Tehran University of Medical Sciences, Islamic Azad University, Tarbiat Modares University, Shahed University, Shahid Chamran University of Aheaz, Regional Information Center for Science and Technology, and National Research Institute for Science Policy play the most important and central roles in the informetrics collaboration network based on productivity, centrality, and collaboration measures. The highest number of co-authored papers in this network have been written by the following pairs of institutions: “Tarbiat Modares University- Shahed University”, “Payame Noor University- Regional Information Center for Science and Technology”, and “Shahed University- National Research Institute for Science Policy” respectively.
Results of the clique analysis showed that this network is made of 12 cliques with at least 5 institutions. Tehran University and Islamic Azad University were in the highest number of subgroups of the network with 7 cliques.

This study aimed to analyze the co-authorship topological structure of social networks in countries in the field of nuclear science and technology.
This research is bibliometrics type and in order to visualize the Co-Authorship networks, the network analysis has been used. The statistical population of the research included all researchers who at least one article in the field of Nuclear Science and Technology in science expanded Citation Index in three-year period has indexed from them.
Findings: The macro-level indicators of countries Co-Authorship Network study in the field of nuclear science and technology in each three period indicate that this structure by having the characteristics of the shortest path average, low the diameter of the network (less than or equal to 6), and relatively high clustering coefficient, is considered a kind of network "small world network". The micro-level indicators analysis shows that the status of the member countries in the nuclear club in this network is a critical position and their power and influence in networks is much higher than in other countries. In addition, a high dispersion among centrality scores is ruled in the countries.

This paper tries to analyse and visualize the co-authorship network of institutions in 1351 papers published in 7 knowledge and information science journals in Iran from 1387 through 1391.
In this paper, we use scientometric and social network analysis to study the collaboration network of institutions. Overall structure of the network was investigated using a few macro-level metrics like density, connectedness, clustering coefficient, components, mean distance and diameter. Additionally, centrality metrics include degree centrality, betweenness centrality, closeness sentrality, eigenvector, number of adjacent nodes as well as productivity measure were adopted to analyze the performance and status of institutions in the network. UCINET software was utilized for data analysis.
Findings of the study revealed that the majority of papers (68.8%) are multi-authored and publications by two authors are the most common type of co-authorship (45.22%). Based on the findings, 63.4% of publications in 7 journals were published through inter-institutional collaboration, which shows that Iranian KIS researchers tend to collaborate more with researchers from other institutions. The co-authorship network of institutions in Iranian KIS papers contains 218 vertices and 1002 cross-institutional collaboration links.

This research aimed to examine the status of co-authorship social network centrality measures in 3 Iranian Chemistry journals indexed in Thomson Reuter’s database. Research population includes all Iranian researchers that had published at least one article in the three Iranian Chemistry journals. The results of the study showed that significant correlation existed between productivity and all centrality measures at p=0/001, except for closeness centrality. The study also revealed that about 32% of the Productivity variance was determined by Centrality measures. It can be concluded that the Iranian Chemistry co-authorship social network is relatively dense in analogy with that of areas such as Management, Information Science and Electrical and Electronic Engineering.

The aim of this paper is to investigate the pattern of collaboration between Iranian researchers in technology policy and management. In this study، as a Scientometrics، 175 Iranian associated papers from 17 Iranian and international journals have been reviewed، which led to drawing and calculation of a number of metrics for the co-authorship network. These metrics include density، clustering coefficient، the community structure in co-authorship networks as the macro indicators، and degrees as well as betweenness centrality index as the micro indicators. The results show that researchers in this area mostly tend to work in small groups and relationship between them are weak. Furthermore، the network can be considered as a scale-free network.

Scientific collaboration has always been of interest to researchers. The analyses of data relating to scientific collaboration is one of the techniques by which we can evaluate research activities. Co-authorship network analysis can represent good information regarding the patterns and structures of co-authorship. Social network analysis was used as the research method. The research population included twenty journals of Information Science which had an impact factor of 0.635 as a minimum from the years 1996 to 2010. The research findings showed that Journal of the American Medical Informatics Association with 0/3 network density has a highest co-authorship network density. Low connection existed in coauthorship network of Information Science journals and co-authorship networks of these journals were loose and sparse. The Results showed that co-authorship networks of information science journals had a low density. Compactness of this journal is low and co-authorship networks had a low cohesion. Results of this research also showed that the density of co-authorship networks of Information Science is lower than Medical Sciences and higher than Management and Social Computations.

This paper aims to investigate the publication output of the journal of Library and Information Science during the period of 2112-2102. Using scientometric approach, this paper studied the co-authorship network of authors by social network analysis measures. This paper investigates the topology features of co-authorship network of authors using some macro-level metrics like density, clustering coefficient, components as well as mean distance. It also focuses on the evaluation of the individual actors with the aim to capture the features of each author and centrality measures. The UCINET software was utilized for data analysis.Findings/ According to the findings, the most important and prolific authors in terms of both productivity and centrality measures are Rahmatollah Fattahi, Mohammad Hossein Dayyani, and Mehri Parirokh. The co-authorship network of the papers in this journal seems to exhibit ―small-world‖ as well as ―scale-free‖ network properties. Additionally, the famous idea of ―six degree of separation‖ can be valid in this network.

The present study tries aims to gain a general understanding of scientific cooperation، co-authorship، as well as co-authorship networks by examining a small sample of a co-authorship network with Mojtaba Shamsi pour as a central agent in the field of chemistry in Iran. Using a historical-documentary method، we attempt briefly to review the relevant literatures in this regard. The results indicate that studying co-authored articles and citation networks based around scientific publication centers is an effective way of investigating cooperation between scientists. These networks are useful for understanding scientists’ relationships as well as reputation، popularity، and technology development. Indeed، they are a kind of social network: a social network is a collection of relationships conducted between individuals، groups، and organizations that enable data، information and knowledge circulation between different. Based on the theoretical framework of the study، the co-authorship network in chemistry in Iran with of Mojtaba Shamsi pour at its centre، is evaluated. According to these findings، the network is so complicated that he، with unified relations hips has provided a powerful center in this area. Mapping Shamsipour’s co-authorship social network is an outstanding example of scientific cooperation in the field of chemistry in Iran.

The aim of this research is to determine the patterns of collaboration and analyze the co-authorship networks of Sharif University of Technology during 2005-2010. Methodology/Approach: This research was carried out through scientometrics approach. The research population includes the publications of Sharif University of Technology indexed in the Web of Science website during 2005-2010. The number of publications of Sharif University of Technology had generally increased during 2005-2010، however، there were some fluctuations in this upward trend. The growth rate of publications in these five years was 10. 38. Among 1017 different universities and institutions، five universities had the highest amount of collaboration with Sharif University of Technology in terms of the number of papers and two indicators i. e. LCS and GCS. The findings also showed that institutional and inter-institutional collaborations were at the highest level while international collaboration was at the lowest level. The number of publications with a single author is decreasing and publications with two or more authors are constantly increasing. In the analysis of co-authorship networks، applied physics and civil engineering have the highest number of lines and nodes among 25 subjects. The results indicated that three subjects، i. e. analytical chemistry، polymer science، and organic chemistry have the highest density and compression or cohesion among the subjects. Organic chemistry، physical chemistry and plasma physics rank highest based on the peak indicator. Co-authored publications are increasing in Sharif University of Technology and collaboration in authorship is in an acceptable level in this university. The highest amounts of cooperation in the field of science are in chemistry، physics and mathematics; in the field of engineering، civil and petroleum engineering rank highest.

The present study aims to investigate the centrality measure in co-authorshipsocial networks in journals of information science indexed by Thompson Reutersdatabase. The present study was carried out using network analysis. The research population consisted of all information science journals which had the impact factors more than0.6. The results showed that Gelnzen had the highest degree, betweeness, closeness and eigenvector centrality in the Sciencetometrics journal while Nicols had thehighest degree, eigenvector and Beta centrality in information science journal. Thefindings indicated that information science researcher's co-authorship social networkgenerally had a low density and a low centrality measure compared to other scientific fields.

This research aimed to investigate Iranian papers on nanotechnology area against some scientometrics indicators such as most prolific, most cited and so on. The statistical population were all papers have been published by Iranian researchers on nanotechnology in the Science Citation Index (SCI) from 1991 to 7 August 2011 (4605 records) that has been done with the aim of identifying, the most prolific, most cited and most effect of Iranian nanotechnology scientists. The results showed that the collaborative index in per-document was 3.39. The highest collaborative index was in 1997 with six authors by per-document. Iranian nanotechnology researcher's degree of collaboration was 0.96 this indicates, greater tendency of nanotechnology authors towards co-authorship. Considering total collaboration coefficient (0.64), nanotechnology authors have shown tendency to production of scientific collaborative document. The highest collaboration coefficient (0.83) And the lowest collaboration coefficient (0.5) have been allocated to the 1997 and 1991 respectively.