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<bibliography>

<biblioentry xreflabel="Alani_et_al_2003" id="Alani_et_al_2003">
   <authorgroup>
       <author><firstname>Harith</firstname><surname>Alani</surname></author>
       <author><firstname>Srinandan</firstname><surname>Dasmahapatra</surname></author>
       <author><firstname>Kieron</firstname><surname>O&#39;Hara</surname></author>
       <author><firstname>Nigel</firstname><surname>Shadbolt</surname></author> 
   </authorgroup>
<citetitle pubwork="article">Identifying Communities of Practice through Ontology Network Analysis</citetitle>
   <citetitle pubwork="journal">IEEE Intelligent Systems</citetitle>

   <volumenum>18</volumenum> 

   <artpagenums>18 - 25</artpagenums> 
   <pubdate>2003</pubdate>  
   <abstract>
      <para>Communities of practice&#8212;groups of individuals interested in a particular job&#44; procedure&#44; or work domain&#8212;informally swap insights on work&#45;related tasks&#44; often through quick chats by the water cooler. They act as corporate memories&#44; transfer best practice&#44; provide mechanisms for situated learning&#44; and act as foci for innovation.
      </para>
   </abstract>
</biblioentry>
<biblioentry xreflabel="Armbruster_Dissertation_2005" id="Armbruster_Dissertation_2005">
   <authorgroup>
       <author><firstname>Heidi</firstname><surname>Armbruster</surname></author> 
   </authorgroup>
<citetitle pubwork="article">Sozialstrukturen in Innovationsteams: Analyse sozialer Netzwerke</citetitle>





   <pubdate>2005</pubdate>  
   <abstract>
      <para>Soziale Netzwerke in Organisationen gelten seit einiger Zeit in der Organisationsforschung als neues und viel versprechendes Thema. Denn soziale Beziehungen gew&#228;hrleisten den f&#252;r den Innovationserfolg entscheidenden Austausch von Ressourcen wie Informationen und Wissen und den Zugang zu ihnen. Dennoch gibt es bisher nur wenige Studien&#44; die die Auswirkungen sozialer Netzwerke auf den organisationalen Erfolg zum Gegenstand haben.&#10;Heidi Armbruster untersucht die Auswirkungen sowohl interner als auch externer sozialer Netzwerke auf den Erfolg von Innovationsteams und inwiefern diese Netzwerke durch Variablen der Teamzusammensetzung beeinflusst werden k&#246;nnen. Die Analyse von 28 Teams aus Unternehmen der pharmazeutisch&#45;chemischen Industrie zeigt&#44; dass interne ebenso wie externe Wissens&#45; und Vertrauensnetzwerke von gro&#223;er Bedeutung f&#252;r den Erfolg von Innovationsteams sind und dass die Zusammensetzung der Teams die Strukturen der Wissens&#45; und Vertrauensnetzwerke pr&#228;gt.
      </para>
   </abstract>
</biblioentry>
<biblioentry xreflabel="Boyd_Ellison_2007" id="Boyd_Ellison_2007">
   <authorgroup>
       <author><firstname>Danah</firstname><othername role="mi">M.</othername><surname>Boyd</surname></author>
       <author><firstname>Nicole</firstname><othername role="mi">B.</othername><surname>Ellison</surname></author> 
   </authorgroup>
<citetitle pubwork="article">Social Network Sites: Definition&#44; History&#44; and Scholarship</citetitle>
   <citetitle pubwork="journal">Journal of Computer&#45;Mediated Communication</citetitle>

   <volumenum>13</volumenum> 

   <artpagenums>article 11</artpagenums> 
   <pubdate>2007</pubdate>  
   <abstract>
      <para>Social network sites (SNSs) are increasingly attracting the attention of academic and industry researchers intrigued by their affordances and reach. This special theme section of the Journal of Computer&#45;Mediated Communication brings together scholarship on these emergent phenomena. In this introductory article&#44; we describe features of SNSs and propose a comprehensive definition. We then present one perspective on the history of such sites&#44; discussing key changes and developments. After briefly summarizing existing scholarship concerning SNSs&#44; we discuss the articles in this special section and conclude with considerations for future research.
      </para>
   </abstract>
</biblioentry>
<biblioentry xreflabel="Cantador_Castells_2006" id="Cantador_Castells_2006">
   <authorgroup>
       <author><firstname>Iv\&#39;an</firstname><surname>Cantador</surname></author>
       <author><firstname>Pablo</firstname><surname>Castells</surname></author> 
   </authorgroup>
<citetitle pubwork="article">Building Emergent Social Networks and Group Profiles by Semantic User Preference Clustering</citetitle>




   <artpagenums>40-53</artpagenums> 
   <pubdate>2006</pubdate>  

</biblioentry>
<biblioentry xreflabel="Jason_Euzenat_2007" id="Jason_Euzenat_2007">
   <authorgroup>
       <author><firstname>Jason</firstname><surname>Jung</surname></author>
       <author><firstname>J&#233;r&#244;me</firstname><surname>Euzenat</surname></author> 
   </authorgroup>
<citetitle pubwork="article">Towards Semantic Social Networks</citetitle>

   <publisher>
      <publishername>Springer&#45;Verlag</publishername>
   </publisher>
   <volumenum>4519</volumenum> 

   <artpagenums>267-280</artpagenums> 
   <pubdate>2007</pubdate>  

</biblioentry>
<biblioentry xreflabel="Lambiotte_Ausloos_2005" id="Lambiotte_Ausloos_2005">
   <authorgroup>
       <author><firstname>Renaud</firstname><surname>Lambiotte</surname></author>
       <author><firstname>Marcel</firstname><surname>Ausloos</surname></author> 
   </authorgroup>
<citetitle pubwork="article">Collaborative tagging as a tripartite network</citetitle>





   <pubdate>2005</pubdate>  
   <abstract>
      <para>We describe online collaborative communities by tripartite networks&#44; the nodes being persons&#44; items and tags. We introduce projection methods in order to uncover the structures of the networks&#44; i.e. communities of users&#44; genre families... &lt;br /&gt;To do so&#44; we focus on the correlations between the nodes&#44; depending on their profiles&#44; and use percolation techniques that consist in removing less correlated links and observing the shaping of disconnected islands. The structuring of the network is visualised by using a tree representation. The notion of diversity in the system is also discussed.
      </para>
   </abstract>
</biblioentry>
<biblioentry xreflabel="Mika_2005" id="Mika_2005">
   <authorgroup>
       <author><firstname>Peter</firstname><surname>Mika</surname></author> 
   </authorgroup>
<citetitle pubwork="article">Ontologies are us: A unified model of social networks and semantics</citetitle>

   <publisher>
      <publishername>Springer&#45;Verlag</publishername>
   </publisher>
   <volumenum>3729</volumenum> 

   <artpagenums>522-536</artpagenums> 
   <pubdate>2005</pubdate>  

</biblioentry>
<biblioentry xreflabel="Barry_Wellman_2001" id="Barry_Wellman_2001">
   <authorgroup>
       <author><firstname>Barry</firstname><surname>Wellman</surname></author> 
   </authorgroup>
<citetitle pubwork="article">Computer Networks as Social Networks</citetitle>
   <citetitle pubwork="journal">Science</citetitle>

   <volumenum>293</volumenum> 

   <artpagenums>2031-2034</artpagenums> 
   <pubdate>2001</pubdate>  
   <abstract>
      <para>Computer networks are inherently social networks&#44; linking people&#44; organizations&#44; and knowledge. They are social institutions that should not be studied in isolation but as integrated into everyday lives. The proliferation of computer networks has facilitated a deemphasis on group solidarities at work and in the community and afforded a turn to networked societies that are loosely bounded and sparsely knit. The Internet increases people&#213;s social capital&#44; increasing contact with friends and relatives who live nearby and far away. New tools must be developed to help people navigate and &#222;nd knowledge in complex&#44; fragmented&#44; networked societies.
      </para>
   </abstract>
</biblioentry>
<biblioentry xreflabel="Willfort_Willfort_2007" id="Willfort_Willfort_2007">
   <authorgroup>
       <author><firstname>Renate</firstname><surname>Willfort</surname></author>
       <author><firstname>Reinhard</firstname><surname>Willfort</surname></author> 
   </authorgroup>
<citetitle pubwork="article">Der genetische Code des pers&#246;nlichen Erfolgs</citetitle>
   <citetitle pubwork="journal">wissensmanagement online</citetitle>




   <pubdate>2007</pubdate>  
   <abstract>
      <para>Wissensarbeiter haben meist sehr klare Vorstellungen von der pers&#246;nlichen Zukunft&#44; die stark durch Lernen und Informationsverarbeitung gepr&#228;gt ist. Aus Sicht von Unternehmen wird es daher in Zukunft immer wichtiger werden&#44; dass die pers&#246;nliche rote Leitlinie eines Wissensarbeiters mit der Unternehmensstrategie zusammenpasst. Wer das ignoriert&#44; l&#228;uft Gefahr&#44; dass erfolgskritisches Wissen abhanden kommt&#44; um dann beim Mitbewerb wirksam zu werden. &#8222;Wissensarbeit&#8220; erm&#246;glicht und f&#246;rdert aber auch neue Formen der Erwerbst&#228;tigkeit ohne fixe Zugh&#246;rigkeit zu einer Organisation und l&#228;sst vor allem Privat&#45; und Berufsleben zunehmend verschmelzen. Der Ruf nach &#8222;Work Life Balance&#8220; kommt daher vor allem von Wissensarbeitern.
      </para>
   </abstract>
</biblioentry>
<biblioentry xreflabel="Yokoyama_et_al_2007" id="Yokoyama_et_al_2007">
   <authorgroup>
       <author><firstname>Teruaki</firstname><surname>Yokoyama</surname></author>
       <author><firstname>Shigeru</firstname><surname>Kashihara</surname></author>
       <author><firstname>Takeshi</firstname><surname>Okuda</surname></author>
       <author><firstname>Youki</firstname><surname>Kadobayashi</surname></author>
       <author><firstname>Suguru</firstname><surname>Yamaguchi</surname></author> 
   </authorgroup>
<citetitle pubwork="article">A Generic API for Retrieving Human&#45;Oriented Information from Social Network Services</citetitle>
   <citetitle pubwork="journal">saint&#45;w</citetitle>
   <publisher>
      <publishername>IEEE Computer Society</publishername>
   </publisher>


   <artpagenums>33-36</artpagenums> 
   <pubdate>2007</pubdate>  
   <abstract>
      <para>A unique type of Web service&#44; called a Social Network Service (SNS)&#44; first appeared in 2003. Some researches suggested a method to extract meaningful information from SNSs. Such meaningful information helps computers to understand human interests&#44; concerns&#44; and perceptions. We consider that socially aware computing has the potential to lead a new type of metric such human oriented information to access control&#44; searches&#44; and suggestions for contents. Accordingly&#44; in this paper we propose the access Application Programmable Interface (API) to find human&#45;oriented information from outside a given SNS. We use the result of experiments on the API to demonstrate a network comprising relationships among communities. The results reveal that our proposed method can support developers in creating socially aware applications with SNSs.
      </para>
   </abstract>
</biblioentry>
</bibliography>
