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data-versiondate=&#034;2013-02-04T16:26:24+01:00&#034; href=&#034;https://en.wikipedia.org/wiki/Technology_adoption_lifecycle&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;https://en.wikipedia.org/wiki/Technology_adoption_lifecycle&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/marketing"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/diffusion"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/technology_adoption_curve"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/business"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/research"/></rdf:Bag></taxo:topics></item><item rdf:about="http://en.wikipedia.org/wiki/Kolmogorov_backward_equations_%28diffusion%29"><title>Kolmogorov backward equations (diffusion) </title><description></description><link>http://en.wikipedia.org/wiki/Kolmogorov_backward_equations_%28diffusion%29</link><dc:creator>macek</dc:creator><dc:date>2012-03-30T17:57:45+02:00</dc:date><dc:subject>Research Diffusion </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2012-03-30T17:57:45+02:00&#034; href=&#034;http://en.wikipedia.org/wiki/Kolmogorov_backward_equations_%28diffusion%29&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://en.wikipedia.org/wiki/Kolmogorov_backward_equations_%28diffusion%29&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Research"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Diffusion"/></rdf:Bag></taxo:topics></item><item rdf:about="http://en.wikipedia.org/wiki/Kolmogorov_backward_equation"><title>Kolmogorov equations - Jump processes</title><description>Models for Diffusion</description><link>http://en.wikipedia.org/wiki/Kolmogorov_backward_equation</link><dc:creator>macek</dc:creator><dc:date>2012-03-30T17:53:19+02:00</dc:date><dc:subject>Model Research Diffusion </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;Models for Diffusion&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Model"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Research"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Diffusion"/></rdf:Bag></taxo:topics></item><item rdf:about="http://homepage.univie.ac.at/axel.maireder/2011/01/evolution-von-nachrichten-in-internet-diffusionsprozessen/"><title>Evolution von Nachrichten in Internet-Diffusionsprozessen – Axel Maireder</title><description></description><link>http://homepage.univie.ac.at/axel.maireder/2011/01/evolution-von-nachrichten-in-internet-diffusionsprozessen/</link><dc:creator>stumme</dc:creator><dc:date>2011-11-12T00:29:29+01:00</dc:date><dc:subject>news Nachrichten diffusion evolution </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2011-11-12T00:29:29+01:00&#034; href=&#034;http://homepage.univie.ac.at/axel.maireder/2011/01/evolution-von-nachrichten-in-internet-diffusionsprozessen/&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://homepage.univie.ac.at/axel.maireder/2011/01/evolution-von-nachrichten-in-internet-diffusionsprozessen/&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/news"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/Nachrichten"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/diffusion"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/evolution"/></rdf:Bag></taxo:topics></item><item rdf:about="http://gigaom.com/2011/08/07/some-trending-topics-are-more-equal-than-others/?utm_source=social&amp;utm_medium=twitter&amp;utm_campaign=gigaom"><title>Some Trending Topics are More Equal than Others</title><description>on exogenous and endogenous network effects</description><link>http://gigaom.com/2011/08/07/some-trending-topics-are-more-equal-than-others/?utm_source=social&amp;utm_medium=twitter&amp;utm_campaign=gigaom</link><dc:creator>mstrohm</dc:creator><dc:date>2011-08-08T18:27:09+02:00</dc:date><dc:subject>diffusion social-factors web-science </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;on exogenous and endogenous network effects&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/diffusion"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/social-factors"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/web-science"/></rdf:Bag></taxo:topics></item><item rdf:about="http://books.google.at/books?hl=de&amp;lr=&amp;id=63WsK1jiarIC&amp;oi=fnd&amp;pg=PA7&amp;dq=The+Tipping+Point:+How+Little+Things+Can+Make+a+Big+Difference&amp;ots=77YQ7s-HwZ&amp;sig=IHdtAeFndzLB567WHangQUIBFUA#v=onepage&amp;q=The%20Tipping%20Point%3A%20How%20Little%20Things%20Can%20Make%20a%20Big%20Difference&amp;f=false"><title>The Tipping Point - Google Bücher</title><description></description><link>http://books.google.at/books?hl=de&amp;lr=&amp;id=63WsK1jiarIC&amp;oi=fnd&amp;pg=PA7&amp;dq=The+Tipping+Point:+How+Little+Things+Can+Make+a+Big+Difference&amp;ots=77YQ7s-HwZ&amp;sig=IHdtAeFndzLB567WHangQUIBFUA#v=onepage&amp;q=The%20Tipping%20Point%3A%20How%20Little%20Things%20Can%20Make%20a%20Big%20Difference&amp;f=false</link><dc:creator>dzibold</dc:creator><dc:date>2011-01-26T14:40:29+01:00</dc:date><dc:subject>diffusion </dc:subject><content:encoded>&lt;a itemprop=&#034;url&#034; data-versiondate=&#034;2011-01-26T14:40:29+01:00&#034; href=&#034;http://books.google.at/books?hl=de&amp;amp;lr=&amp;amp;id=63WsK1jiarIC&amp;amp;oi=fnd&amp;amp;pg=PA7&amp;amp;dq=The+Tipping+Point:+How+Little+Things+Can+Make+a+Big+Difference&amp;amp;ots=77YQ7s-HwZ&amp;amp;sig=IHdtAeFndzLB567WHangQUIBFUA#v=onepage&amp;amp;q=The%20Tipping%20Point%3A%20How%20Little%20Things%20Can%20Make%20a%20Big%20Difference&amp;amp;f=false&#034; rel=&#034;nofollow&#034; class=&#034;description-link&#034;&gt;http://books.google.at/books?hl=de&amp;amp;lr=&amp;amp;id=63WsK1jiarIC&amp;amp;oi=fnd&amp;amp;pg=PA7&amp;amp;dq=The+Tipping+Point:+How+Little+Things+Can+Make+a+Big+Difference&amp;amp;ots=77YQ7s-HwZ&amp;amp;sig=IHdtAeFndzLB567WHangQUIBFUA#v=onepage&amp;amp;q=The%20Tipping%20Point%3A%20How%20Little%20Things%20Can%20Make%20a%20Big%20Difference&amp;amp;f=false&lt;/a&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/diffusion"/></rdf:Bag></taxo:topics></item><item rdf:about="http://www.cs.cornell.edu/Courses/cs6850/2011sp/"><title>The Structure of Information Networks (Jon Kleinberg)</title><description>One can gain a lot of insight into the structure of a network by analzing the eigenvalues and eigenvectors of its adjacency matrix. The connection between spectral parameters and the more combinatorial properties of networks and datasets is a subtle issue, and while many results have been established about this connection, it is still not fully understood. This connection has also led to a number of applications, including the development of link analysis algorithms for Web search.
</description><link>http://www.cs.cornell.edu/Courses/cs6850/2011sp/</link><dc:creator>dzibold</dc:creator><dc:date>2011-01-26T14:09:51+01:00</dc:date><dc:subject>diffusion network information </dc:subject><content:encoded>&lt;span itemprop=&#034;description&#034;&gt;One can gain a lot of insight into the structure of a network by analzing the eigenvalues and eigenvectors of its adjacency matrix. The connection between spectral parameters and the more combinatorial properties of networks and datasets is a subtle issue, and while many results have been established about this connection, it is still not fully understood. This connection has also led to a number of applications, including the development of link analysis algorithms for Web search.
&lt;/span&gt;</content:encoded><taxo:topics><rdf:Bag><rdf:li rdf:resource="https://www.bibsonomy.org/tag/diffusion"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/network"/><rdf:li rdf:resource="https://www.bibsonomy.org/tag/information"/></rdf:Bag></taxo:topics></item></rdf:RDF>