Difference between revisions of "SNA analysis of MCSN on the www"

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* (d) what sorts of interesting questions then arise? (It's often instructive to create two such networks, and then ask:  how do they differ, and why?)
 
* (d) what sorts of interesting questions then arise? (It's often instructive to create two such networks, and then ask:  how do they differ, and why?)
  
You might like to examine websites that center on music (e.g. allmusic.com) or you could examine musical aspects of a more general-purpose site (e.g. facebook.com, amazon.com, reddit.com, delicious.com).  Draw a network from your selected site, create some Pajek files, and think up some interesting research avenues you could take.
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You might like to examine websites that center on music (e.g. allmusic.com) or you could examine musical aspects of a more general-purpose site (e.g. facebook.com, amazon.com, reddit.com, delicious.com).  Draw a network from your selected site, create some Pajek files, and think up some interesting research avenues you could take. This could easily become your term project.
  
 
'''I've listed lots of ideas for you [http://www.fwalive.ualberta.ca/mediawiki/index.php?title=Research_on_music_networks here]. (see especially [http://www.fwalive.ualberta.ca/mediawiki/index.php?title=Research_on_music_networks#Sources_of_online_network_data here])'''
 
'''I've listed lots of ideas for you [http://www.fwalive.ualberta.ca/mediawiki/index.php?title=Research_on_music_networks here]. (see especially [http://www.fwalive.ualberta.ca/mediawiki/index.php?title=Research_on_music_networks#Sources_of_online_network_data here])'''

Revision as of 19:59, 26 September 2011

Website presentation and analysis

Everyone select one website to present (9/27 and 9/29) from a social network analysis perspective. Your selected website may include social media explicitly, or may contain music data that can be modeled as a network. Think about the following:

  • (a) How does the site work? What's its purpose and how is it organized?
  • (b) what sorts of musical data does the site contain?
  • (c) what kinds of networks can you extract from this site? Create one or two Pajek networks, together with partitions, and vectors.
  • (d) what sorts of interesting questions then arise? (It's often instructive to create two such networks, and then ask: how do they differ, and why?)

You might like to examine websites that center on music (e.g. allmusic.com) or you could examine musical aspects of a more general-purpose site (e.g. facebook.com, amazon.com, reddit.com, delicious.com). Draw a network from your selected site, create some Pajek files, and think up some interesting research avenues you could take. This could easily become your term project.

I've listed lots of ideas for you here. (see especially here)

Signup

Please sign up for websites by editing the following list (so that everyone chooses a different website to present):

Nadine http://turbulence.org/Works/graphtheory/index2.html

Alyssa I keep changing my mind: www.amazon.com

Lauren www.allmusic.com (www.allrovi.com)

Chris

Perry

Geoff

Allison

Jeff

Kat

Jill

Raimundo

Chee Meng www.cami.com