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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Iranian Association for Management of Technology</PublisherName>
				<JournalTitle>Journal of Science and Technology Policy</JournalTitle>
				<Issn>20080840</Issn>
				<Volume>6</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2013</Year>
					<Month>12</Month>
					<Day>22</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A Co-Authorship Network Analysis of Iranian Researchers in Technology Policy and Managemen</ArticleTitle>
<VernacularTitle>A Co-Authorship Network Analysis of Iranian Researchers in Technology Policy and Managemen</VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>17</LastPage>
			<ELocationID EIdType="pii">12897</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>1970</Year>
					<Month>01</Month>
					<Day>01</Day>
				</PubDate>
			</History>
		<Abstract>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.</Abstract>
			<OtherAbstract Language="FA">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.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Social Network Analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Co- Authorship Network</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Modularity</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Degree of Centrality</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Betweeness Bentrality</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jstp.nrisp.ac.ir/article_12897_2efe8996197955a6a84fe91658836a0c.pdf</ArchiveCopySource>
</Article>
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