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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Sport Sciences Research Institute</PublisherName>
				<JournalTitle>Sport Management Studies</JournalTitle>
				<Issn>2538-3213</Issn>
				<Volume>9</Volume>
				<Issue>46</Issue>
				<PubDate PubStatus="epublish">
					<Year>2018</Year>
					<Month>01</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Identify Positional Players in Building Attack; The Social Network Analysis of Iran Football Team on FIFA World Cup 2014</ArticleTitle>
<VernacularTitle>Identify Positional Players in Building Attack; The Social Network Analysis of Iran Football Team on FIFA World Cup 2014</VernacularTitle>
			<FirstPage>91</FirstPage>
			<LastPage>104</LastPage>
			<ELocationID EIdType="pii">1260</ELocationID>
			
<ELocationID EIdType="doi">10.22089/smrj.2017.4265.1822</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Farhad</FirstName>
					<LastName>Alahvisi</LastName>
<Affiliation>M.Sc. of Sport Management, University of Kurdistan</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad</FirstName>
					<LastName>Maleki</LastName>
<Affiliation>Assistant Professor of Motor Behavior, University of Kurdistan</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>06</Month>
					<Day>04</Day>
				</PubDate>
			</History>
		<Abstract>The purpose of present study was identifying positional players Iran football team in building attack and their networks analysis. Three official matches from national team in FIFA World Cup were analyzed and codified. Pass between teammates defined as linkage criteria. After each match an adjacent matrix general was built. Then imported into Social Networks Visualizer for analysis. Network analysis of the games by 2 scale degree centrality and degree prestige was performed. The values degree centrality reveals lateral defenders (12.2) and midfielders (12.03) had a percent greater participation in the ball circulation and building attack. Also, the values degree prestige reveals midfielders (12.65) and striker (11.90) were the targets of the teammates to pass the ball during the passing sequences. This study showed how network centrality metrics can to provide useful information for coaches and also to study the individual contribution of players for the attacking process.</Abstract>
			<OtherAbstract Language="FA">The purpose of present study was identifying positional players Iran football team in building attack and their networks analysis. Three official matches from national team in FIFA World Cup were analyzed and codified. Pass between teammates defined as linkage criteria. After each match an adjacent matrix general was built. Then imported into Social Networks Visualizer for analysis. Network analysis of the games by 2 scale degree centrality and degree prestige was performed. The values degree centrality reveals lateral defenders (12.2) and midfielders (12.03) had a percent greater participation in the ball circulation and building attack. Also, the values degree prestige reveals midfielders (12.65) and striker (11.90) were the targets of the teammates to pass the ball during the passing sequences. This study showed how network centrality metrics can to provide useful information for coaches and also to study the individual contribution of players for the attacking process.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Social Network Analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Software Socnetv</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Degree Centrality</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Degree Prestige</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://smrj.ssrc.ac.ir/article_1260_f4573fc71c731d5c362f0d7860945b88.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
