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

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= Website presentation and analysis =
 
= Website presentation and analysis =
  
Everyone select one website to present this week from a social network analysis perspective:
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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?  
 
* (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?  
 
* (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 partition, and vector.   
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* (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?)
 
* (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].
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'''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])'''
  
 
= Signup =
 
= Signup =
  
Please sign up for websites by editing the following list (so that everyone chooses a different website to present):
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'''Please sign up for websites by editing the following list (so that everyone chooses a different website to present):'''
  
Nadine
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Nadine http://turbulence.org/Works/graphtheory/index2.html
  
Alyssa www.bmi.com
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Alyssa I keep changing my mind: www.amazon.com
  
Lauren www.allmusic.com
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Lauren www.allmusic.com (www.allrovi.com)
  
Chris
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Chris http://nobrainerrecords.wordpress.com/, http://www.foolsgoldrecs.com/, http://ninjatune.net/, http://www.beatport.com/ (All Record Label related sites)
  
 
Perry
 
Perry
  
Geoff
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Geoff http://www.pandora.com
  
Allison
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Allison http://www.beatport.com/#genre/chill-out/10
  
Jeff
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Jeff -[http://apps.webofknowledge.com.login.ezproxy.library.ualberta.ca/WOS_GeneralSearch_input.do?product=WOS&search_mode=GeneralSearch&SID=2FDcLgNM2onI97gCfBB&preferencesSaved= web of science]
  
 
Kat
 
Kat
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Jill
 
Jill
  
Raimundo
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Raimundo www.reverbnation.com
  
 
Chee Meng www.cami.com
 
Chee Meng www.cami.com

Latest revision as of 11:33, 29 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 http://nobrainerrecords.wordpress.com/, http://www.foolsgoldrecs.com/, http://ninjatune.net/, http://www.beatport.com/ (All Record Label related sites)

Perry

Geoff http://www.pandora.com

Allison http://www.beatport.com/#genre/chill-out/10

Jeff -web of science

Kat

Jill

Raimundo www.reverbnation.com

Chee Meng www.cami.com