Comments on: Dunbar Lives! http://thenoisychannel.com/2009/02/27/dunbar-lives/ Mon, 15 Mar 2010 22:17:54 +0000 http://wordpress.org/?v=2.9.2 hourly 1 By: Max L. Wilson http://thenoisychannel.com/2009/02/27/dunbar-lives/comment-page-1/#comment-2189 Max L. Wilson Tue, 03 Mar 2009 10:28:12 +0000 http://thenoisychannel.com/?p=1519#comment-2189 this is exciting. It's one of those datasets that i'd like to spend ages on if i had access to it all (like my post on Viacom vs YouTube - http://maxlwilson.blogspot.com/2008/07/best-search-dataset-ever.html). I'd be interested to see more on other facets of correlation, such as people who have friends vs people who have mainly colleagues on facebook, and people who log on daily vs people who log on weekly etc. this is exciting. It’s one of those datasets that i’d like to spend ages on if i had access to it all (like my post on Viacom vs YouTube – http://maxlwilson.blogspot.com/2008/07/best-search-dataset-ever.html).

I’d be interested to see more on other facets of correlation, such as people who have friends vs people who have mainly colleagues on facebook, and people who log on daily vs people who log on weekly etc.

]]> By: Daniel Tunkelang http://thenoisychannel.com/2009/02/27/dunbar-lives/comment-page-1/#comment-2146 Daniel Tunkelang Fri, 27 Feb 2009 22:01:25 +0000 http://thenoisychannel.com/?p=1519#comment-2146 If you blog about them, they will come! Cameron, thanks for the clarification. I'm looking forward to those details, and I'm sure many readers here are too. I'm not sure if you've had a chance to look at related posts, but I'm on something of a mission to promote the value of the more meaningful, sparse social networks hidden inside the superficially dense ones. So naturally I'm excited to use your research as ammunition in pursuing that cause. If you blog about them, they will come!

Cameron, thanks for the clarification. I’m looking forward to those details, and I’m sure many readers here are too.

I’m not sure if you’ve had a chance to look at related posts, but I’m on something of a mission to promote the value of the more meaningful, sparse social networks hidden inside the superficially dense ones. So naturally I’m excited to use your research as ammunition in pursuing that cause.

]]> By: Cameron Marlow http://thenoisychannel.com/2009/02/27/dunbar-lives/comment-page-1/#comment-2145 Cameron Marlow Fri, 27 Feb 2009 21:55:57 +0000 http://thenoisychannel.com/?p=1519#comment-2145 @Edward: The numbers cited are for a 30-day activity period, specifically to be comparable to other studies (such as Kossinets 2006). I will be posting some more details about the data we pulled on my blog within the next week. @Edward: The numbers cited are for a 30-day activity period, specifically to be comparable to other studies (such as Kossinets 2006). I will be posting some more details about the data we pulled on my blog within the next week.

]]> By: Daniel Tunkelang http://thenoisychannel.com/2009/02/27/dunbar-lives/comment-page-1/#comment-2143 Daniel Tunkelang Fri, 27 Feb 2009 21:35:59 +0000 http://thenoisychannel.com/?p=1519#comment-2143 Here's a <a href="http://www.economist.com/science/displaystory.cfm?story_id=13176775" rel="nofollow">link</a> to the Economist article cited by the blog post--no mention of the time span. It's a good question. Here’s a link to the Economist article cited by the blog post–no mention of the time span. It’s a good question.

]]> By: Edward Vielmetti http://thenoisychannel.com/2009/02/27/dunbar-lives/comment-page-1/#comment-2142 Edward Vielmetti Fri, 27 Feb 2009 21:30:47 +0000 http://thenoisychannel.com/?p=1519#comment-2142 Interesting numbers but I think you missed some significant part of that - what time span are these numbers measured over? I would think that # of different people you connect with online would be closely correlated with how much time you spent online, and the alternate explanation is simply that 500-friend people are more intensive users of the system overall. Interesting numbers but I think you missed some significant part of that – what time span are these numbers measured over? I would think that # of different people you connect with online would be closely correlated with how much time you spent online, and the alternate explanation is simply that 500-friend people are more intensive users of the system overall.

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