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Analysing Social Networks Within Bibliographical Data

Identifieur interne : 000C33 ( Istex/Corpus ); précédent : 000C32; suivant : 000C34

Analysing Social Networks Within Bibliographical Data

Auteurs : Stefan Klink ; Patrick Reuther ; Alexander Weber ; Bernd Walter ; Michael Ley

Source :

RBID : ISTEX:28858CE306DA2E5B54AF9B420520B0A047E6F931

Abstract

Abstract: Finding relationships between authors and thematic similar publications is getting harder and harder due to the mass of information and the rapid growth of the number of scientific workers. The io-port.net portal and the DBLP Computer Science Bibliography including more than 2,000,000 and 750,000 publications, respectively, from more than 450,000 authors are major services used by thousands of computer scientists which provides fundamental support for scientists searching for publications or other scientists in similar communities. In this paper, we describe a user–friendly interface which plays the central role in searching authors and publications and analysing social networks on the basis of bibliographical data. After introducing the concept of multi-mode social networks, the DBL–Browser itself and various methods for multi-layered browsing through social networks are described.

Url:
DOI: 10.1007/11827405_23

Links to Exploration step

ISTEX:28858CE306DA2E5B54AF9B420520B0A047E6F931

Le document en format XML

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<forename type="first">Demetri</forename>
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<p>Abstract: Finding relationships between authors and thematic similar publications is getting harder and harder due to the mass of information and the rapid growth of the number of scientific workers. The io-port.net portal and the DBLP Computer Science Bibliography including more than 2,000,000 and 750,000 publications, respectively, from more than 450,000 authors are major services used by thousands of computer scientists which provides fundamental support for scientists searching for publications or other scientists in similar communities. In this paper, we describe a user–friendly interface which plays the central role in searching authors and publications and analysing social networks on the basis of bibliographical data. After introducing the concept of multi-mode social networks, the DBL–Browser itself and various methods for multi-layered browsing through social networks are described.</p>
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<Country>Germany</Country>
</OrgAddress>
</Affiliation>
<Affiliation ID="Aff19">
<OrgDivision>Department for Databases and Information Systems</OrgDivision>
<OrgName>University of Trier</OrgName>
<OrgAddress>
<Country>Germany</Country>
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<Abstract ID="Abs1" Language="En">
<Heading>Abstract</Heading>
<Para>Finding relationships between authors and thematic similar publications is getting harder and harder due to the mass of information and the rapid growth of the number of scientific workers. The
<Emphasis Type="Bold">io-port.net</Emphasis>
portal and the
<Emphasis Type="Bold">DBLP</Emphasis>
Computer Science Bibliography including more than 2,000,000 and 750,000 publications, respectively, from more than 450,000 authors are major services used by thousands of computer scientists which provides fundamental support for scientists searching for publications or other scientists in similar communities.</Para>
<Para>In this paper, we describe a user–friendly interface which plays the central role in searching authors and publications and analysing social networks on the basis of bibliographical data.</Para>
<Para>After introducing the concept of multi-mode social networks, the
<Emphasis Type="Italic">DBL–Browser</Emphasis>
itself and various methods for multi-layered browsing through social networks are described.</Para>
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<title>Analysing Social Networks Within Bibliographical Data</title>
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<title>Analysing Social Networks Within Bibliographical Data</title>
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<name type="personal">
<namePart type="given">Stefan</namePart>
<namePart type="family">Klink</namePart>
<affiliation>Institute of Applied Informatics and Formal Description Methods, Universität Karlsruhe (TH), Germany</affiliation>
<affiliation>E-mail: Stefan.Klink@aifb.uni-karlsruhe.de</affiliation>
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<name type="personal">
<namePart type="given">Patrick</namePart>
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<affiliation>Department for Databases and Information Systems, University of Trier, Germany</affiliation>
<affiliation>E-mail: reuther@uni-trier.de</affiliation>
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<name type="personal">
<namePart type="given">Alexander</namePart>
<namePart type="family">Weber</namePart>
<affiliation>Department for Databases and Information Systems, University of Trier, Germany</affiliation>
<affiliation>E-mail: aweber@uni-trier.de</affiliation>
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<name type="personal">
<namePart type="given">Bernd</namePart>
<namePart type="family">Walter</namePart>
<affiliation>Department for Databases and Information Systems, University of Trier, Germany</affiliation>
<affiliation>E-mail: walter@uni-trier.de</affiliation>
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<namePart type="given">Michael</namePart>
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<abstract lang="en">Abstract: Finding relationships between authors and thematic similar publications is getting harder and harder due to the mass of information and the rapid growth of the number of scientific workers. The io-port.net portal and the DBLP Computer Science Bibliography including more than 2,000,000 and 750,000 publications, respectively, from more than 450,000 authors are major services used by thousands of computer scientists which provides fundamental support for scientists searching for publications or other scientists in similar communities. In this paper, we describe a user–friendly interface which plays the central role in searching authors and publications and analysing social networks on the basis of bibliographical data. After introducing the concept of multi-mode social networks, the DBL–Browser itself and various methods for multi-layered browsing through social networks are described.</abstract>
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<namePart type="family">Weikum</namePart>
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