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<pubDate>Thu, 21 Aug 2008 17:26:54 BST</pubDate>


	<title>CiteULike: nazareno collaboration</title>
	<description>CiteULike: nazareno collaboration</description>


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<item rdf:about="http://www.citeulike.org/user/nazareno/article/2899777">
    <title>Bring Reputation System to Social Network in the Maze P2P File-Sharing System</title>
    <link>http://www.citeulike.org/user/nazareno/article/2899777</link>
    <description>&lt;i&gt;Collaborative Technologies and Systems, 2006. CTS 2006. International Symposium on (2006), pp. 393-400.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Much work has been done to address the need for reputation systems in real deployed peer-to-peer networks. Unlike some previous researches, we now focus on deploying a reputation system in a large deployed peer-to-peer file sharing network; Maze. There are several potential problems in mapping EigenTrust to our system and we propose two methods to improve it. First, we introduce a location-aware pre-trusted peers&#146; choice algorithm to ensure the fairness. Then we reduce the impact of colluders by prompting trust relationships among peers in the social network. This improved reputation system has been proven to successfully imply the peers&#146; contributions, while at the same time, action against the colluders.</description>
    <dc:title>Bring Reputation System to Social Network in the Maze P2P File-Sharing System</dc:title>

    <dc:creator>Mao Yang</dc:creator>
    <dc:creator>Yafei Dai</dc:creator>
    <dc:creator>Xiaoming Li</dc:creator>
    <dc:identifier>doi:10.1109/CTS.2006.22</dc:identifier>
    <dc:source>Collaborative Technologies and Systems, 2006. CTS 2006. International Symposium on (2006), pp. 393-400.</dc:source>
    <dc:date>2008-06-16T20:35:36-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>Collaborative Technologies and Systems, 2006. CTS 2006. International Symposium on</prism:publicationName>
    <prism:startingPage>393</prism:startingPage>
    <prism:endingPage>400</prism:endingPage>
    <prism:category>collaboration</prism:category>
    <prism:category>cooperation</prism:category>
    <prism:category>empirical</prism:category>
    <prism:category>measurement</prism:category>
    <prism:category>p2p</prism:category>
    <prism:category>peer-to-peer</prism:category>
    <prism:category>reputation</prism:category>
    <prism:category>social-networks</prism:category>
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<item rdf:about="http://www.citeulike.org/user/nazareno/article/1188439">
    <title>Free riding on gnutella</title>
    <link>http://www.citeulike.org/user/nazareno/article/1188439</link>
    <description>&lt;i&gt;First Monday (September 2000)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;An extensive analysis of user traffic on Gnutella shows a significant amount of free riding in the system. By sampling messages on the Gnutella network over a 24-hour period, we established that 70% of Gnutella users share no files, and 90% of the users answer no queries. Furthermore, we found out that free riding is distributed evenly between domains, so that no one group contributes significantly more than others, and that peers that volunteer to share files are not necessarily those who have ...</description>
    <dc:title>Free riding on gnutella</dc:title>

    <dc:creator>Eytan Adar</dc:creator>
    <dc:creator>Bernardo Huberman</dc:creator>
    <dc:source>First Monday (September 2000)</dc:source>
    <dc:date>2007-03-26T20:15:01-00:00</dc:date>
    <prism:publicationYear>2000</prism:publicationYear>
    <prism:publicationName>First Monday</prism:publicationName>
    <prism:category>collaboration</prism:category>
    <prism:category>cooperation</prism:category>
    <prism:category>freeriding</prism:category>
    <prism:category>gnutella</prism:category>
    <prism:category>measurement</prism:category>
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<item rdf:about="http://www.citeulike.org/user/nazareno/article/83832">
    <title>Collaboration Analysis in Recommender Systems using Social Networks</title>
    <link>http://www.citeulike.org/user/nazareno/article/83832</link>
    <description>&lt;i&gt;&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Many researchers have focussed their efforts in developing collaborative recommender systems. It has been proved that the use of collaboration in such systems improves its performance, but what is not known is how this collaboration is done and what is more important, how it has to be done in order to optimise the information exchange. The collaborative relationships in recommender systems can be represented as a social network. In this paper we propose several measures to analyse collaboration ...</description>
    <dc:title>Collaboration Analysis in Recommender Systems using Social Networks</dc:title>

    <dc:creator>Jordi Miquel</dc:creator>
    <dc:date>2005-01-26T10:43:34-00:00</dc:date>
    <prism:category>collaboration</prism:category>
    <prism:category>recommender</prism:category>
    <prism:category>social-networks</prism:category>
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