Comments on: Visualizing the Internet and Online User Behavior http://www.chinavortex.com/2007/08/visualizing-the-internet-and-online-user-behavior/ China | Business | Economy | Internet | Technology Sat, 05 Jul 2008 23:08:41 +0000 http://wordpress.org/?v=2.5.1 By: What Tibet and Carrefour Can Teach Us About the Chinese Internet | The China Vortex http://www.chinavortex.com/2007/08/visualizing-the-internet-and-online-user-behavior/#comment-1995 What Tibet and Carrefour Can Teach Us About the Chinese Internet | The China Vortex Fri, 09 May 2008 02:16:12 +0000 http://www.chinavortex.com/2007/08/visualizing-the-internet-and-online-user-behavior/#comment-1995 [...] The numbers are in the millions [...] [...] The numbers are in the millions [...]

]]> By: tai-te http://www.chinavortex.com/2007/08/visualizing-the-internet-and-online-user-behavior/#comment-15 tai-te Wed, 08 Aug 2007 03:42:45 +0000 http://www.chinavortex.com/2007/08/visualizing-the-internet-and-online-user-behavior/#comment-15 I don't think it would resemble fish. Perhaps more like ants. Fish can sense each other instantaneously and turn and move with each other. Online, a person can't view others moving like this. They may follow the tracks left behind by others though (like how ants follow each others chemical trails). For example, one person leaves a link, and another person can follow this link. Search engines follow these links too which means more people are likely to follow that path. To visualize this you would need a program that gets individual user stats and maps them in 2d or 3d based on their relationship to other user paths. Along the user paths you would might find common start points, end points and hubs. Static maps could still provide the verbs you want, they would just be in past tense. ;) I don’t think it would resemble fish. Perhaps more like ants. Fish can sense each other instantaneously and turn and move with each other. Online, a person can’t view others moving like this. They may follow the tracks left behind by others though (like how ants follow each others chemical trails). For example, one person leaves a link, and another person can follow this link. Search engines follow these links too which means more people are likely to follow that path.

To visualize this you would need a program that gets individual user stats and maps them in 2d or 3d based on their relationship to other user paths. Along the user paths you would might find common start points, end points and hubs.

Static maps could still provide the verbs you want, they would just be in past tense. ;)

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