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	<title>Comments on: Modeling ReTweet Dynamics</title>
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	<link>http://danzarrella.com/modeling-retweet-dynamics.html</link>
	<description>DanZarrella.com, Social &#38; Viral Marketing Scientist</description>
	<lastBuildDate>Wed, 16 May 2012 13:36:14 +0000</lastBuildDate>
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		<title>By: Twitter Tutorial: Using Twitter to Find Customers &#38; Build a Network &#124;</title>
		<link>http://danzarrella.com/modeling-retweet-dynamics.html/comment-page-1#comment-286856</link>
		<dc:creator>Twitter Tutorial: Using Twitter to Find Customers &#38; Build a Network &#124;</dc:creator>
		<pubDate>Sun, 12 Feb 2012 20:10:35 +0000</pubDate>
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		<description>[...] Modeling ReTweet Dynamics &#124; Dan Zarrella [...]</description>
		<content:encoded><![CDATA[<p>[...] Modeling ReTweet Dynamics | Dan Zarrella [...]</p>
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		<title>By: The Science of ReTweets &#171; Tweet Junk</title>
		<link>http://danzarrella.com/modeling-retweet-dynamics.html/comment-page-1#comment-265342</link>
		<dc:creator>The Science of ReTweets &#171; Tweet Junk</dc:creator>
		<pubDate>Sat, 26 Dec 2009 07:01:45 +0000</pubDate>
		<guid isPermaLink="false">http://danzarrella.com/?p=2020#comment-265342</guid>
		<description>[...] Science of&#160;ReTweets  Jump to Comments  This is your brain on [...]</description>
		<content:encoded><![CDATA[<p>[...] Science of&nbsp;ReTweets  Jump to Comments  This is your brain on [...]</p>
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		<title>By: micheal smith</title>
		<link>http://danzarrella.com/modeling-retweet-dynamics.html/comment-page-1#comment-265283</link>
		<dc:creator>micheal smith</dc:creator>
		<pubDate>Thu, 03 Dec 2009 10:35:30 +0000</pubDate>
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		<description>Websites are always helpful in one way or the other, The authors sug­gested that the model could be used in influ­ence max­i­miza­tion algo­rithms which aim to iden­tify key, influ­en­tial indi­vid­u­als in a given social net­work for the pur­poses of viral mar­ket­ing. I was intrigued by the pos­si­bil­i­ties and have been toss­ing around a pos­si­ble flow­chart model of how indi­vid­u­als decide to ReTweet spe­cific Tweets since read­ing that paper. Here’s my first attempt: anyways, &lt;a href=&quot;http://www.loansheaven.com&quot; rel=&quot;nofollow&quot;&gt;instant loans&lt;/a&gt; a good way to get started to renovate your dreams into the world of reality.&lt;br&gt;Thanks&lt;br&gt;Micheal,</description>
		<content:encoded><![CDATA[<p>Websites are always helpful in one way or the other, The authors sug­gested that the model could be used in influ­ence max­i­miza­tion algo­rithms which aim to iden­tify key, influ­en­tial indi­vid­u­als in a given social net­work for the pur­poses of viral mar­ket­ing. I was intrigued by the pos­si­bil­i­ties and have been toss­ing around a pos­si­ble flow­chart model of how indi­vid­u­als decide to ReTweet spe­cific Tweets since read­ing that paper. Here’s my first attempt: anyways, <a href="http://www.loansheaven.com" rel="nofollow">instant loans</a> a good way to get started to renovate your dreams into the world of reality.<br />Thanks<br />Micheal,</p>
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		<title>By: micheal smith</title>
		<link>http://danzarrella.com/modeling-retweet-dynamics.html/comment-page-1#comment-265155</link>
		<dc:creator>micheal smith</dc:creator>
		<pubDate>Thu, 03 Dec 2009 02:35:30 +0000</pubDate>
		<guid isPermaLink="false">http://danzarrella.com/?p=2020#comment-265155</guid>
		<description>Websites are always helpful in one way or the other, The authors sug­gested that the model could be used in influ­ence max­i­miza­tion algo­rithms which aim to iden­tify key, influ­en­tial indi­vid­u­als in a given social net­work for the pur­poses of viral mar­ket­ing. I was intrigued by the pos­si­bil­i­ties and have been toss­ing around a pos­si­ble flow­chart model of how indi­vid­u­als decide to ReTweet spe­cific Tweets since read­ing that paper. Here’s my first attempt: anyways, &lt;a href=&quot;http://www.loansheaven.com&quot; rel=&quot;nofollow&quot;&gt;instant loans&lt;/a&gt; a good way to get started to renovate your dreams into the world of reality.&lt;br&gt;Thanks&lt;br&gt;Micheal,</description>
		<content:encoded><![CDATA[<p>Websites are always helpful in one way or the other, The authors sug­gested that the model could be used in influ­ence max­i­miza­tion algo­rithms which aim to iden­tify key, influ­en­tial indi­vid­u­als in a given social net­work for the pur­poses of viral mar­ket­ing. I was intrigued by the pos­si­bil­i­ties and have been toss­ing around a pos­si­ble flow­chart model of how indi­vid­u­als decide to ReTweet spe­cific Tweets since read­ing that paper. Here’s my first attempt: anyways, <a href="http://www.loansheaven.com" rel="nofollow">instant loans</a> a good way to get started to renovate your dreams into the world of reality.<br />Thanks<br />Micheal,</p>
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		<title>By: Brian Wong</title>
		<link>http://danzarrella.com/modeling-retweet-dynamics.html/comment-page-1#comment-265136</link>
		<dc:creator>Brian Wong</dc:creator>
		<pubDate>Fri, 27 Nov 2009 05:59:10 +0000</pubDate>
		<guid isPermaLink="false">http://danzarrella.com/?p=2020#comment-265136</guid>
		<description>The first decision stage of the flowchart excludes the many other instances how a reweet could occur even if a person is not being followed. &lt;br&gt;&lt;br&gt;As SimZaolly rightly pointed out, it could happen via a search result, whether it be a #tag search or a general search. &lt;br&gt;&lt;br&gt;It could happen if a person is not being followed but &quot;listed&quot; using a list. Also, it could be from reading a blog post with the TweetMeme button. It could also be published on retweet directories like &lt;a href=&quot;http://Retweetist.com&quot; rel=&quot;nofollow&quot;&gt;Retweetist.com&lt;/a&gt;. Let&#039;s not forget also that a growing number of Tweeter users are on mobile devices. So the RT could happen from mobile applications like Mashable&#039;s ReTweet app.&lt;br&gt;&lt;br&gt;All of these instance can happen even if the person retweeting is not following you. :)</description>
		<content:encoded><![CDATA[<p>The first decision stage of the flowchart excludes the many other instances how a reweet could occur even if a person is not being followed. </p>
<p>As SimZaolly rightly pointed out, it could happen via a search result, whether it be a #tag search or a general search. </p>
<p>It could happen if a person is not being followed but &#8220;listed&#8221; using a list. Also, it could be from reading a blog post with the TweetMeme button. It could also be published on retweet directories like <a href="http://Retweetist.com" rel="nofollow">Retweetist.com</a>. Let&#39;s not forget also that a growing number of Tweeter users are on mobile devices. So the RT could happen from mobile applications like Mashable&#39;s ReTweet app.</p>
<p>All of these instance can happen even if the person retweeting is not following you. <img src='http://danzarrella.com/wp-includes/images/smilies/icon_smile.gif' alt=':)' class='wp-smiley' /> </p>
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		<title>By: Danijel Maricic</title>
		<link>http://danzarrella.com/modeling-retweet-dynamics.html/comment-page-1#comment-265114</link>
		<dc:creator>Danijel Maricic</dc:creator>
		<pubDate>Mon, 23 Nov 2009 11:31:30 +0000</pubDate>
		<guid isPermaLink="false">http://danzarrella.com/?p=2020#comment-265114</guid>
		<description>hey zoeDisco,&lt;br&gt;&lt;br&gt;i&#039;m using few services for determining how my followers feel, do they tweet about good things, about work or bad things like death, killing... &lt;br&gt;i think that psychic state of followers is very valuable to know and it could be implemented in RT dynamics approach.&lt;br&gt;Example:&lt;br&gt;if you find that your followers are tweets most of the time about business, chances for getting RT of info tweet is very likely to be high, and vice verse.  &lt;br&gt;Furthermore with one service you can see impact of your tweets on your followers. I saw that i lost 11 followers after i tweeted info that my company has got exclusive right for one software( obviously my followers thought that tweet was commercial) but then i&#039;ve got 11 followers after i tweeted about OCZ RAM that i bought.</description>
		<content:encoded><![CDATA[<p>hey zoeDisco,</p>
<p>i&#39;m using few services for determining how my followers feel, do they tweet about good things, about work or bad things like death, killing&#8230; <br />i think that psychic state of followers is very valuable to know and it could be implemented in RT dynamics approach.<br />Example:<br />if you find that your followers are tweets most of the time about business, chances for getting RT of info tweet is very likely to be high, and vice verse.  <br />Furthermore with one service you can see impact of your tweets on your followers. I saw that i lost 11 followers after i tweeted info that my company has got exclusive right for one software( obviously my followers thought that tweet was commercial) but then i&#39;ve got 11 followers after i tweeted about OCZ RAM that i bought.</p>
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		<title>By: Danijel Maricic</title>
		<link>http://danzarrella.com/modeling-retweet-dynamics.html/comment-page-1#comment-265113</link>
		<dc:creator>Danijel Maricic</dc:creator>
		<pubDate>Mon, 23 Nov 2009 11:01:39 +0000</pubDate>
		<guid isPermaLink="false">http://danzarrella.com/?p=2020#comment-265113</guid>
		<description>hey Pratik,&lt;br&gt;&lt;br&gt;I thought about the same thing when i was reading this post. if you have follower that is strong enough,(has lot of followers) and  your tweet get some % of attention of that follower and with certain % of motivation for RTing your Tweet then it is better to have few good followers than thousands of crappy ones.&lt;br&gt;&lt;br&gt;What do you think of that?&lt;br&gt;cheers</description>
		<content:encoded><![CDATA[<p>hey Pratik,</p>
<p>I thought about the same thing when i was reading this post. if you have follower that is strong enough,(has lot of followers) and  your tweet get some % of attention of that follower and with certain % of motivation for RTing your Tweet then it is better to have few good followers than thousands of crappy ones.</p>
<p>What do you think of that?<br />cheers</p>
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		<title>By: zoeDisco</title>
		<link>http://danzarrella.com/modeling-retweet-dynamics.html/comment-page-1#comment-265086</link>
		<dc:creator>zoeDisco</dc:creator>
		<pubDate>Tue, 17 Nov 2009 11:43:44 +0000</pubDate>
		<guid isPermaLink="false">http://danzarrella.com/?p=2020#comment-265086</guid>
		<description>hey dan&lt;br&gt;&lt;br&gt;I really like your ReTweet Decision model. I&#039;m wondering if you have any data on the attention % or motivation % - Have you calculated any probabilities or trends? It would be great to be able to say on  average, this is how many people are likely to see your Tweet.&lt;br&gt;&lt;br&gt;I would think that motivation would be esp. difficult to calculate bc (as you have also stated) it&#039;s really the content of the tweet that influences people to ReTweet it.&lt;br&gt;&lt;br&gt;thanks!&lt;br&gt;&lt;br&gt;z</description>
		<content:encoded><![CDATA[<p>hey dan</p>
<p>I really like your ReTweet Decision model. I&#39;m wondering if you have any data on the attention % or motivation % &#8211; Have you calculated any probabilities or trends? It would be great to be able to say on  average, this is how many people are likely to see your Tweet.</p>
<p>I would think that motivation would be esp. difficult to calculate bc (as you have also stated) it&#39;s really the content of the tweet that influences people to ReTweet it.</p>
<p>thanks!</p>
<p>z</p>
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		<title>By: Pratik</title>
		<link>http://danzarrella.com/modeling-retweet-dynamics.html/comment-page-1#comment-264972</link>
		<dc:creator>Pratik</dc:creator>
		<pubDate>Tue, 27 Oct 2009 04:32:16 +0000</pubDate>
		<guid isPermaLink="false">http://danzarrella.com/?p=2020#comment-264972</guid>
		<description>Hey Dan,&lt;br&gt;There&#039;s another metric that should be put in this flowchart and that is how influential your followers are. An example to that is I once tweeted a funny thought. That was re-tweeted by 3 followers who were heavily followed. Result was that within minutes my tweet was RTed by 14 other people who don&#039;t follow me but follow those 3 followers.</description>
		<content:encoded><![CDATA[<p>Hey Dan,<br />There&#39;s another metric that should be put in this flowchart and that is how influential your followers are. An example to that is I once tweeted a funny thought. That was re-tweeted by 3 followers who were heavily followed. Result was that within minutes my tweet was RTed by 14 other people who don&#39;t follow me but follow those 3 followers.</p>
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		<title>By: simzaolly</title>
		<link>http://danzarrella.com/modeling-retweet-dynamics.html/comment-page-1#comment-264943</link>
		<dc:creator>simzaolly</dc:creator>
		<pubDate>Tue, 27 Oct 2009 03:05:15 +0000</pubDate>
		<guid isPermaLink="false">http://danzarrella.com/?p=2020#comment-264943</guid>
		<description>Hi Dan,&lt;br&gt;&lt;br&gt;Great work.&lt;br&gt;&lt;br&gt;I&#039;m not sure what I&#039;m sharing is correct, but I just want to share.&lt;br&gt;&lt;br&gt;Even when you don&#039;t follow a person, there are Re-tweets. This takes places during a general search or a #tag search. When readers find the link or tweet interesting, they Re-tweet it. So how do you incorporate this aspect of Re-tweet into the Re-Tweet Decision Model.</description>
		<content:encoded><![CDATA[<p>Hi Dan,</p>
<p>Great work.</p>
<p>I&#39;m not sure what I&#39;m sharing is correct, but I just want to share.</p>
<p>Even when you don&#39;t follow a person, there are Re-tweets. This takes places during a general search or a #tag search. When readers find the link or tweet interesting, they Re-tweet it. So how do you incorporate this aspect of Re-tweet into the Re-Tweet Decision Model.</p>
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		<title>By: bebopdesigner</title>
		<link>http://danzarrella.com/modeling-retweet-dynamics.html/comment-page-1#comment-264941</link>
		<dc:creator>bebopdesigner</dc:creator>
		<pubDate>Mon, 26 Oct 2009 17:32:26 +0000</pubDate>
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		<description>Wow! This is impressive!!!!  Thanks for sharing such a brilliant post.</description>
		<content:encoded><![CDATA[<p>Wow! This is impressive!!!!  Thanks for sharing such a brilliant post.</p>
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