Italian sociologists: a community of disconnected groups
Examining coauthorship networks is key to study scientific collaboration patterns and structural characteristics of scientific communities. Here, we studied coauthorship networks of sociologists in Italy, using temporal and multi-level quantitative analysis. By looking at publications indexed in Sco...
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Veröffentlicht in: | Scientometrics 2020-09, Vol.124 (3), p.2361-2382 |
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creator | Akbaritabar, Aliakbar Traag, Vincent Antonio Caimo, Alberto Squazzoni, Flaminio |
description | Examining coauthorship networks is key to study scientific collaboration patterns and structural characteristics of scientific communities. Here, we studied coauthorship networks of sociologists in Italy, using temporal and multi-level quantitative analysis. By looking at publications indexed in Scopus, we detected research communities among Italian sociologists. We found that Italian sociologists are fractured in many disconnected groups. The giant connected component could be split into five main groups with a mix of three main disciplinary topics: sociology of culture and communication (present in two groups), economic sociology (present in three groups) and general sociology (present in three groups). By applying an exponential random graph model, we found that collaboration ties are mainly driven by the
research interests
of these groups. Other factors, such as
preferential attachment
,
gender
and
affiliation homophily
are also important, but the effect of gender fades away once other factors are controlled for. Our research shows the advantages of multi-level and temporal network analysis in revealing the complexity of scientific collaboration patterns. |
doi_str_mv | 10.1007/s11192-020-03555-w |
format | Article |
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research interests
of these groups. Other factors, such as
preferential attachment
,
gender
and
affiliation homophily
are also important, but the effect of gender fades away once other factors are controlled for. Our research shows the advantages of multi-level and temporal network analysis in revealing the complexity of scientific collaboration patterns.</description><identifier>ISSN: 0138-9130</identifier><identifier>EISSN: 1588-2861</identifier><identifier>DOI: 10.1007/s11192-020-03555-w</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Co authorship ; Collaboration ; Computer Science ; Information Storage and Retrieval ; Library Science ; Network analysis ; Sociology</subject><ispartof>Scientometrics, 2020-09, Vol.124 (3), p.2361-2382</ispartof><rights>Akadémiai Kiadó, Budapest, Hungary 2020</rights><rights>Akadémiai Kiadó, Budapest, Hungary 2020.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c411t-195a4b0a11aca74ea38dcc0367aa4d74b9b701d68412c59ba30cf191b8bd15363</citedby><cites>FETCH-LOGICAL-c411t-195a4b0a11aca74ea38dcc0367aa4d74b9b701d68412c59ba30cf191b8bd15363</cites><orcidid>0000-0002-6503-6077 ; 0000-0003-3170-3879 ; 0000-0001-8956-7166 ; 0000-0003-3828-1533</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11192-020-03555-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11192-020-03555-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Akbaritabar, Aliakbar</creatorcontrib><creatorcontrib>Traag, Vincent Antonio</creatorcontrib><creatorcontrib>Caimo, Alberto</creatorcontrib><creatorcontrib>Squazzoni, Flaminio</creatorcontrib><title>Italian sociologists: a community of disconnected groups</title><title>Scientometrics</title><addtitle>Scientometrics</addtitle><description>Examining coauthorship networks is key to study scientific collaboration patterns and structural characteristics of scientific communities. Here, we studied coauthorship networks of sociologists in Italy, using temporal and multi-level quantitative analysis. By looking at publications indexed in Scopus, we detected research communities among Italian sociologists. We found that Italian sociologists are fractured in many disconnected groups. The giant connected component could be split into five main groups with a mix of three main disciplinary topics: sociology of culture and communication (present in two groups), economic sociology (present in three groups) and general sociology (present in three groups). By applying an exponential random graph model, we found that collaboration ties are mainly driven by the
research interests
of these groups. Other factors, such as
preferential attachment
,
gender
and
affiliation homophily
are also important, but the effect of gender fades away once other factors are controlled for. Our research shows the advantages of multi-level and temporal network analysis in revealing the complexity of scientific collaboration patterns.</description><subject>Co authorship</subject><subject>Collaboration</subject><subject>Computer Science</subject><subject>Information Storage and Retrieval</subject><subject>Library Science</subject><subject>Network analysis</subject><subject>Sociology</subject><issn>0138-9130</issn><issn>1588-2861</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LxDAURYMoOI7-AVcF19H38tGm7mTQcWDAja5DmqZDh7YZk5Zh_r3RCu5cvc099_IOIbcI9whQPERELBkFBhS4lJIez8gCpVKUqRzPyQKQK1oih0tyFeMeEsRBLYjajKZrzZBFb1vf-V0bx_iYmcz6vp-GdjxlvsnqNlo_DM6Ors52wU-HeE0uGtNFd_N7l-Tj5fl99Uq3b-vN6mlLrUAcKZbSiAoMorGmEM5wVVsLPC-MEXUhqrIqAOtcCWRWlpXhYBsssVJVjZLnfEnu5t5D8J-Ti6Pe-ykMaVIzwQqenky5JWFzygYfY3CNPoS2N-GkEfS3IT0b0smQ_jGkjwniMxRTeNi58Ff9D_UFob5pGA</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Akbaritabar, Aliakbar</creator><creator>Traag, Vincent Antonio</creator><creator>Caimo, Alberto</creator><creator>Squazzoni, Flaminio</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>E3H</scope><scope>F2A</scope><orcidid>https://orcid.org/0000-0002-6503-6077</orcidid><orcidid>https://orcid.org/0000-0003-3170-3879</orcidid><orcidid>https://orcid.org/0000-0001-8956-7166</orcidid><orcidid>https://orcid.org/0000-0003-3828-1533</orcidid></search><sort><creationdate>20200901</creationdate><title>Italian sociologists: a community of disconnected groups</title><author>Akbaritabar, Aliakbar ; Traag, Vincent Antonio ; Caimo, Alberto ; Squazzoni, Flaminio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c411t-195a4b0a11aca74ea38dcc0367aa4d74b9b701d68412c59ba30cf191b8bd15363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Co authorship</topic><topic>Collaboration</topic><topic>Computer Science</topic><topic>Information Storage and Retrieval</topic><topic>Library Science</topic><topic>Network analysis</topic><topic>Sociology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Akbaritabar, Aliakbar</creatorcontrib><creatorcontrib>Traag, Vincent Antonio</creatorcontrib><creatorcontrib>Caimo, Alberto</creatorcontrib><creatorcontrib>Squazzoni, Flaminio</creatorcontrib><collection>CrossRef</collection><collection>Library & Information Sciences Abstracts (LISA)</collection><collection>Library & Information Science Abstracts (LISA)</collection><jtitle>Scientometrics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Akbaritabar, Aliakbar</au><au>Traag, Vincent Antonio</au><au>Caimo, Alberto</au><au>Squazzoni, Flaminio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Italian sociologists: a community of disconnected groups</atitle><jtitle>Scientometrics</jtitle><stitle>Scientometrics</stitle><date>2020-09-01</date><risdate>2020</risdate><volume>124</volume><issue>3</issue><spage>2361</spage><epage>2382</epage><pages>2361-2382</pages><issn>0138-9130</issn><eissn>1588-2861</eissn><abstract>Examining coauthorship networks is key to study scientific collaboration patterns and structural characteristics of scientific communities. Here, we studied coauthorship networks of sociologists in Italy, using temporal and multi-level quantitative analysis. By looking at publications indexed in Scopus, we detected research communities among Italian sociologists. We found that Italian sociologists are fractured in many disconnected groups. The giant connected component could be split into five main groups with a mix of three main disciplinary topics: sociology of culture and communication (present in two groups), economic sociology (present in three groups) and general sociology (present in three groups). By applying an exponential random graph model, we found that collaboration ties are mainly driven by the
research interests
of these groups. Other factors, such as
preferential attachment
,
gender
and
affiliation homophily
are also important, but the effect of gender fades away once other factors are controlled for. Our research shows the advantages of multi-level and temporal network analysis in revealing the complexity of scientific collaboration patterns.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s11192-020-03555-w</doi><tpages>22</tpages><orcidid>https://orcid.org/0000-0002-6503-6077</orcidid><orcidid>https://orcid.org/0000-0003-3170-3879</orcidid><orcidid>https://orcid.org/0000-0001-8956-7166</orcidid><orcidid>https://orcid.org/0000-0003-3828-1533</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Co authorship Collaboration Computer Science Information Storage and Retrieval Library Science Network analysis Sociology |
title | Italian sociologists: a community of disconnected groups |
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