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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Is Web Content a Good Proxy for Real-Life Interaction?</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>A Case Study Considering Online</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Offline Interactions</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Mark Kibanov</string-name>
          <email>kibanov@cs.uni-kassel.de</email>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Martin Atzmueller</string-name>
          <email>atzmueller@cs.uni-kassel.de</email>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Jens Illig</string-name>
          <email>illig@cs.uni-kassel.de</email>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Christoph Scholz</string-name>
          <email>christoph.scholz@iwes.fraunhofer.de</email>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Alain Barrat</string-name>
          <email>alain.barrat@cpt.univ-mrs.fr</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Ciro Cattuto</string-name>
          <email>ciro.cattuto@isi.it</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Gerd Stumme</string-name>
          <email>stumme@cs.uni-kassel.de</email>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Aix Marseille Université, Université de Toulon CNRS</institution>
          ,
          <addr-line>CPT, UMR 7332</addr-line>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Data Science Laboratory</institution>
          ,
          <addr-line>ISI Foundation</addr-line>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Fraunhofer Institute for Wind Energy and Energy System Technology</institution>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>University of Kassel, Knowledge and Data Engineering Group</institution>
        </aff>
      </contrib-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>Online social relationship can represent a significant share of an individual’s
social profile, in addition to the interactions that take place offline, e. g., when
meeting friends, during a face-to-face conversation, etc. So far, the analysis of
online social networks has received significant attention in the research
community, while studies on offline interactions at large scale, e. g., focusing on networks
of face-to-face proximity, has only been taken up recently.</p>
      <p>We start filling this gap by analyzing online and offline social networks and
published content of computer scientists who visited particular conferences. We
investigate whether information from various online sources can be used as a
proxy for the offline world.</p>
      <p>
        Our results [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ] indicate that in many cases online and offline datasets still
have structural differences at large. However, strong ties seem to correlate better
than weak ones and for “important persons” there are proxy relations between
the online and the offline world. We also observed examples of a successful
application of online data for offline scenarios, specifically relating to the analysis
of content and characteristic subgroups. Our results show that the considered
online data is not an ideal proxy for offline information overall, but still provides
some important indications about offline relationships.
      </p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          1.
          <string-name>
            <surname>Kibanov</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Atzmueller</surname>
            ,
            <given-names>M.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Illig</surname>
            ,
            <given-names>J.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Scholz</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Barrat</surname>
            ,
            <given-names>A.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Cattuto</surname>
            ,
            <given-names>C.</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Stumme</surname>
          </string-name>
          , G.:
          <article-title>Is web content a good proxy for real-life interaction? a case study considering online and offline interactions of computer scientists</article-title>
          .
          <source>In: Proceedings of the 2015 ACM/IEEE International Conference on Advances in Social Networks Analysis and Mining, ASONAM</source>
          <year>2015</year>
          , Paris, France,
          <source>August 25-28</source>
          ,
          <year>2015</year>
          (
          <year>2015</year>
          )
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>