Difference between revisions of "Ethnomusicology and social network analysis"
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| − | Assignments | + | = Assignments = |
| − | (1) Read chapter 1 of ''Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences)'' | + | Text: read chapters 1,2,3,5,9; do exercises |
| + | |||
| + | Research: project of your choosing | ||
| + | |||
| + | == for Wed Sep 19th == | ||
| + | |||
| + | (1) Read chapter 1 of ''Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences)'' (ESNAP) by Wouter de Nooy, Andrej Mrvar, and Vladimir Batagelj and try out Pajek. | ||
Pajek is a free download: | Pajek is a free download: | ||
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http://www.insna.org/ | http://www.insna.org/ | ||
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http://en.wikipedia.org/wiki/Social_network_analysis | http://en.wikipedia.org/wiki/Social_network_analysis | ||
| + | |||
http://en.wikipedia.org/wiki/Small_world_experiment | http://en.wikipedia.org/wiki/Small_world_experiment | ||
| + | |||
| + | |||
| + | == for Wed Sep 26th == | ||
| + | |||
| + | Read chapters 1 and 2 of ESNAP, try out all examples with Pajek, and do all the exercises at the ends of the chapters. Correct them yourself, give me the corrected work, and let me know if you have any problems. Have a look at the Dept of Music study we did a few years back (emailed to you). | ||
| + | |||
| + | Possible modes of data collection in SNA include: | ||
| + | |||
| + | # surveys (web, email, paper) | ||
| + | # interviews (formal, informal) | ||
| + | # observation | ||
| + | # online data mining | ||
| + | |||
| + | Possible structures relevant to music include: | ||
| + | |||
| + | # interactions in a musical group (e.g. eye contact) | ||
| + | # proximity structure in a performance (who is near whom) | ||
| + | # the structure of musical pedagogy (e.g. teaching lineages) | ||
| + | # peer consultations in a music class | ||
| + | # communities of musical taste | ||
| + | # co-participation in musical events (as performers or listeners) | ||
| + | # online social networks via social network sites | ||
| + | # email networks (who emails whom) | ||
| + | # online discussion groups (who sends on what threads) | ||
| + | # musical collaborations | ||
| + | # face to face interactions among musicians | ||
| + | # who practices or performs together | ||
| + | # communications about music | ||
| + | # friendship networks among musicians | ||
| + | # the relation between friendship networks and musical taste (or co-participation) (how is subculture defined musically?) | ||
| + | # networks of music scholarship (who cites whom, who co-authors with whom) | ||
| + | |||
| + | Sketch out a possible ethnomusicological social network analysis project of your own: a small or online data study (for P); real-life ethnographic data (for N). N should also start preparing an ethics application. | ||
| + | |||
| + | = Help = | ||
| + | |||
| + | [[SNA Q&A]] | ||
| + | |||
| + | = Links = | ||
| + | |||
| + | [http://vlado.fmf.uni-lj.si/pub/networks/book/ Pajek and datasets] | ||
| + | |||
| + | [http://www.insna.org/ International Network for Social Network Analysis] | ||
| + | |||
| + | [http://en.wikipedia.org/wiki/Social_network_analysis wikipedia article] | ||
| + | |||
| + | [http://en.wikipedia.org/wiki/Small_world_experiment small worlds] | ||
| + | |||
| + | = My ideas = | ||
| + | |||
| + | Social network information is valuable for sociology, but hard to obtain. That's because social network information typically derives from the practical knowledge of social networks that is embedded within those networks, within the social actors ("vertices") who inhabit them. Such knowledge--more especially the knowledge ''differential'' (that which I know but you do not)--is extremely valuable to individuals for whom it guides practice. Such a knowledge differential is itself a form of social capital. | ||
| + | |||
| + | = [[Your ideas]] = | ||
Latest revision as of 16:34, 19 August 2008
Contents
Assignments
Text: read chapters 1,2,3,5,9; do exercises
Research: project of your choosing
for Wed Sep 19th
(1) Read chapter 1 of Exploratory Social Network Analysis with Pajek (Structural Analysis in the Social Sciences) (ESNAP) by Wouter de Nooy, Andrej Mrvar, and Vladimir Batagelj and try out Pajek.
Pajek is a free download: http://vlado.fmf.uni-lj.si/pub/networks/pajek/ It only works on Windows machines, so you'll have to have access to one. Hopefully you do already.
(2) optional: For an alternative intro, try Network Concepts.pdf Basic Network Concepts, by C. Kadushin
(3) also optional: browse
http://en.wikipedia.org/wiki/Social_network_analysis
http://en.wikipedia.org/wiki/Small_world_experiment
for Wed Sep 26th
Read chapters 1 and 2 of ESNAP, try out all examples with Pajek, and do all the exercises at the ends of the chapters. Correct them yourself, give me the corrected work, and let me know if you have any problems. Have a look at the Dept of Music study we did a few years back (emailed to you).
Possible modes of data collection in SNA include:
- surveys (web, email, paper)
- interviews (formal, informal)
- observation
- online data mining
Possible structures relevant to music include:
- interactions in a musical group (e.g. eye contact)
- proximity structure in a performance (who is near whom)
- the structure of musical pedagogy (e.g. teaching lineages)
- peer consultations in a music class
- communities of musical taste
- co-participation in musical events (as performers or listeners)
- online social networks via social network sites
- email networks (who emails whom)
- online discussion groups (who sends on what threads)
- musical collaborations
- face to face interactions among musicians
- who practices or performs together
- communications about music
- friendship networks among musicians
- the relation between friendship networks and musical taste (or co-participation) (how is subculture defined musically?)
- networks of music scholarship (who cites whom, who co-authors with whom)
Sketch out a possible ethnomusicological social network analysis project of your own: a small or online data study (for P); real-life ethnographic data (for N). N should also start preparing an ethics application.
Help
Links
International Network for Social Network Analysis
My ideas
Social network information is valuable for sociology, but hard to obtain. That's because social network information typically derives from the practical knowledge of social networks that is embedded within those networks, within the social actors ("vertices") who inhabit them. Such knowledge--more especially the knowledge differential (that which I know but you do not)--is extremely valuable to individuals for whom it guides practice. Such a knowledge differential is itself a form of social capital.
