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	<title>Comments on: Twitter popularity: follower vs. list counts</title>
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	<link>http://www.wikinomics.com/blog/index.php/2009/11/23/twitter-popularity-follower-vs-list-counts/</link>
	<description>Exploring How Mass Collaboration Changes Everything</description>
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		<title>By: John</title>
		<link>http://www.wikinomics.com/blog/index.php/2009/11/23/twitter-popularity-follower-vs-list-counts/comment-page-1/#comment-340376</link>
		<dc:creator>John</dc:creator>
		<pubDate>Mon, 01 Feb 2010 03:04:42 +0000</pubDate>
		<guid isPermaLink="false">http://www.wikinomics.com/blog/?p=5045#comment-340376</guid>
		<description>I also use many lists to categorize folks on twitter.  I prefer this instead of following a mess of people and having a confusing, and unrelated, feed of random tweets.  In fact, I follow very few people but have listed many. This is a great approach for the info junkie like myself.</description>
		<content:encoded><![CDATA[<p>I also use many lists to categorize folks on twitter.  I prefer this instead of following a mess of people and having a confusing, and unrelated, feed of random tweets.  In fact, I follow very few people but have listed many. This is a great approach for the info junkie like myself.</p>
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		<title>By: papetarie</title>
		<link>http://www.wikinomics.com/blog/index.php/2009/11/23/twitter-popularity-follower-vs-list-counts/comment-page-1/#comment-336301</link>
		<dc:creator>papetarie</dc:creator>
		<pubDate>Fri, 15 Jan 2010 06:45:57 +0000</pubDate>
		<guid isPermaLink="false">http://www.wikinomics.com/blog/?p=5045#comment-336301</guid>
		<description>How many do you think it matters popularity for a good positioning or rank on google ?</description>
		<content:encoded><![CDATA[<p>How many do you think it matters popularity for a good positioning or rank on google ?</p>
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		<title>By: blogbrevity</title>
		<link>http://www.wikinomics.com/blog/index.php/2009/11/23/twitter-popularity-follower-vs-list-counts/comment-page-1/#comment-328716</link>
		<dc:creator>blogbrevity</dc:creator>
		<pubDate>Fri, 18 Dec 2009 13:20:47 +0000</pubDate>
		<guid isPermaLink="false">http://www.wikinomics.com/blog/?p=5045#comment-328716</guid>
		<description>Denis, please also note you may be put on a list and not followed.  As a social media recruiter in the executive healthcare communications space, people may not follow my business twitter account directly (so their employer will not see they are following a recruiter) but they have added me to their lists and do RT.</description>
		<content:encoded><![CDATA[<p>Denis, please also note you may be put on a list and not followed.  As a social media recruiter in the executive healthcare communications space, people may not follow my business twitter account directly (so their employer will not see they are following a recruiter) but they have added me to their lists and do RT.</p>
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		<title>By: Kristine Shuee</title>
		<link>http://www.wikinomics.com/blog/index.php/2009/11/23/twitter-popularity-follower-vs-list-counts/comment-page-1/#comment-325709</link>
		<dc:creator>Kristine Shuee</dc:creator>
		<pubDate>Sun, 06 Dec 2009 16:53:50 +0000</pubDate>
		<guid isPermaLink="false">http://www.wikinomics.com/blog/?p=5045#comment-325709</guid>
		<description>- i just love to Twitter everyday with my friends. Twitter is much better than blogging in my opinion and it is very addictive too.
*</description>
		<content:encoded><![CDATA[<p>- i just love to Twitter everyday with my friends. Twitter is much better than blogging in my opinion and it is very addictive too.<br />
*</p>
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		<title>By: Hampus Landelius</title>
		<link>http://www.wikinomics.com/blog/index.php/2009/11/23/twitter-popularity-follower-vs-list-counts/comment-page-1/#comment-322901</link>
		<dc:creator>Hampus Landelius</dc:creator>
		<pubDate>Wed, 25 Nov 2009 19:46:04 +0000</pubDate>
		<guid isPermaLink="false">http://www.wikinomics.com/blog/?p=5045#comment-322901</guid>
		<description>I think it’s important to realize how huge Twitter is if you put it in a marketing context. As a tool for finding and evaluating opinion leader and formers it’s just fantastic. Yesterday I found a excellent program that lets you analyze Twitter users in a way that blows my mind if you go through all the options.
Its called www.twitteranalyzer.com and its awesome, go in to the page and add a persons TwitterID that you know has a lot of followers… not some Hollywood celeb… but someone that in the game! Like dtapscott or BrianSolis and go through all the different categories. But what you see into a marketing context and you will be amazed…. Twitter ambassador marketing will be the next huge thing, at least according to me!
The cool thing today is that all different parts of society has one of these influencers, if you have their name Google it and find their Twitter-ID and the fun begins… 
If you would like to read more of my thought I have a blog http://theonlyconstant.se/ it is in Swedish (some posts in English) but Google translate is your friend… I’m also currently trying to make up time to mirror-write in English
Happy thanks giving and pleas try the program, it’s awesome!</description>
		<content:encoded><![CDATA[<p>I think it’s important to realize how huge Twitter is if you put it in a marketing context. As a tool for finding and evaluating opinion leader and formers it’s just fantastic. Yesterday I found a excellent program that lets you analyze Twitter users in a way that blows my mind if you go through all the options.<br />
Its called <a href="http://www.twitteranalyzer.com" rel="nofollow">http://www.twitteranalyzer.com</a> and its awesome, go in to the page and add a persons TwitterID that you know has a lot of followers… not some Hollywood celeb… but someone that in the game! Like dtapscott or BrianSolis and go through all the different categories. But what you see into a marketing context and you will be amazed…. Twitter ambassador marketing will be the next huge thing, at least according to me!<br />
The cool thing today is that all different parts of society has one of these influencers, if you have their name Google it and find their Twitter-ID and the fun begins…<br />
If you would like to read more of my thought I have a blog <a href="http://theonlyconstant.se/" rel="nofollow">http://theonlyconstant.se/</a> it is in Swedish (some posts in English) but Google translate is your friend… I’m also currently trying to make up time to mirror-write in English<br />
Happy thanks giving and pleas try the program, it’s awesome!</p>
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		<title>By: Denis</title>
		<link>http://www.wikinomics.com/blog/index.php/2009/11/23/twitter-popularity-follower-vs-list-counts/comment-page-1/#comment-322867</link>
		<dc:creator>Denis</dc:creator>
		<pubDate>Wed, 25 Nov 2009 16:32:48 +0000</pubDate>
		<guid isPermaLink="false">http://www.wikinomics.com/blog/?p=5045#comment-322867</guid>
		<description>Interesting comment Jaclyn, but I believe the stats show that your comprehensive approach (adding everyone you follow to a list for organizational purposes) is a rarity - and supports my point.

Going to the extreme case, let&#039;s say everyone was adding everyone they followed to a list for organizational purposes. Since Agent_M has roughly 1.4 million followers, he&#039;d appear on 1.4 million lists; Marvel would appear on about 43,000 for the same reason. So there would be a perfect correlation between the number of followers, and number of lists you are on.

But as the numbers indicate, only a small percentages of people that follow each account are adding them to a list they create. In this case, if you assume everyone that adds an account to a list is already following that it, 3.4% of Marvel followers have placed them into a list; only 0.1% of Agent_M&#039;s followers have. There must be a reason for that difference. 

One possibility, tied to your note, is that perhaps - for whatever reason - people that follow Marvel are more interested in organization than people that follow Agent_M. But I can&#039;t think of an explanation for why that would be. 

A more likely one might be that @Marvel is easier to classify. If you look at the lists it is on, words like &quot;comics&quot; and &quot;entertainment&quot; appear regularly. Agent_M might simply be harder to classify.

My current list of hypotheses includes that, perhaps, a higher proportion of @Marvel followers are ACTUALLY paying attention to what the account offers up. 

But I think popularity plays an important part here. Given that it appears most people have far less people in their lists than they follow, one could assume they&#039;re choosing their particular favorites based on various interests. Whether or not you cross that threshold is likely to have a popularity component - akin to a best friends vs. friends thing, or strong ties vs. weak ties.</description>
		<content:encoded><![CDATA[<p>Interesting comment Jaclyn, but I believe the stats show that your comprehensive approach (adding everyone you follow to a list for organizational purposes) is a rarity &#8211; and supports my point.</p>
<p>Going to the extreme case, let&#8217;s say everyone was adding everyone they followed to a list for organizational purposes. Since Agent_M has roughly 1.4 million followers, he&#8217;d appear on 1.4 million lists; Marvel would appear on about 43,000 for the same reason. So there would be a perfect correlation between the number of followers, and number of lists you are on.</p>
<p>But as the numbers indicate, only a small percentages of people that follow each account are adding them to a list they create. In this case, if you assume everyone that adds an account to a list is already following that it, 3.4% of Marvel followers have placed them into a list; only 0.1% of Agent_M&#8217;s followers have. There must be a reason for that difference. </p>
<p>One possibility, tied to your note, is that perhaps &#8211; for whatever reason &#8211; people that follow Marvel are more interested in organization than people that follow Agent_M. But I can&#8217;t think of an explanation for why that would be. </p>
<p>A more likely one might be that @Marvel is easier to classify. If you look at the lists it is on, words like &#8220;comics&#8221; and &#8220;entertainment&#8221; appear regularly. Agent_M might simply be harder to classify.</p>
<p>My current list of hypotheses includes that, perhaps, a higher proportion of @Marvel followers are ACTUALLY paying attention to what the account offers up. </p>
<p>But I think popularity plays an important part here. Given that it appears most people have far less people in their lists than they follow, one could assume they&#8217;re choosing their particular favorites based on various interests. Whether or not you cross that threshold is likely to have a popularity component &#8211; akin to a best friends vs. friends thing, or strong ties vs. weak ties.</p>
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		<title>By: Jaclyn</title>
		<link>http://www.wikinomics.com/blog/index.php/2009/11/23/twitter-popularity-follower-vs-list-counts/comment-page-1/#comment-322680</link>
		<dc:creator>Jaclyn</dc:creator>
		<pubDate>Tue, 24 Nov 2009 19:49:26 +0000</pubDate>
		<guid isPermaLink="false">http://www.wikinomics.com/blog/?p=5045#comment-322680</guid>
		<description>I&#039;m confused as to why you correlate popularity with the number of lists a twitter account is on. Personally, I add every new Twitter account that I follow to a particular list, for organization&#039;s sake only. So whether or not a user adds another&#039;s account to a list cannot be directly correlated to popularity. The point is someone is following a particular account, whether that person is organized or not lends nothing to said account&#039;s popularity.
I&#039;m sure there are some people who have created lists and only placed their favorite accounts on those lists. Which means those accounts are more popular for that particular user, but how do you know if that was even the intention of the user in creating such a list. Perhaps a bulk of list users are only organizing their tweets, like me?</description>
		<content:encoded><![CDATA[<p>I&#8217;m confused as to why you correlate popularity with the number of lists a twitter account is on. Personally, I add every new Twitter account that I follow to a particular list, for organization&#8217;s sake only. So whether or not a user adds another&#8217;s account to a list cannot be directly correlated to popularity. The point is someone is following a particular account, whether that person is organized or not lends nothing to said account&#8217;s popularity.<br />
I&#8217;m sure there are some people who have created lists and only placed their favorite accounts on those lists. Which means those accounts are more popular for that particular user, but how do you know if that was even the intention of the user in creating such a list. Perhaps a bulk of list users are only organizing their tweets, like me?</p>
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