Difference between revisions of "MCSN Thursday,08-Sep-11"
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** Musical Social Networks (MSNs) | ** Musical Social Networks (MSNs) | ||
** Research in MCSN | ** Research in MCSN | ||
+ | * Pajek | ||
+ | ** Installing | ||
+ | ** Using | ||
+ | ** Help | ||
* Course mechanics: | * Course mechanics: | ||
** [http://bit.ly/mcsn Wiki]: for lecture notes, your collective contributions | ** [http://bit.ly/mcsn Wiki]: for lecture notes, your collective contributions |
Revision as of 10:02, 7 September 2011
- Welcome
- Course introduction
- What is music culture? Broad definition:
- social: relations and practices of music
- semantic: discourses and meanings around music
- phenomenological: experiences and emotions in music
- sonic: musical form and content
- What is a social network?
- Issues in SNA
- Theory of Graphs, and its applications to social groups
- What is a graph? Some terms.
- Node, vertex
- Link, edge, arc
- Social groups as graphs (social networks)
- What is a graph? Some terms.
- Methods
- Data collection
- Data analysis
- Statistical measures
- Exploration vs hypothesis testing
- Software: Pajek: download and install
- Ethics
- Theory of Graphs, and its applications to social groups
- MCSN: Applications to ethnomusicology
- Musical networks (MNs)
- Musical Social Networks (MSNs)
- Research in MCSN
- Pajek
- Installing
- Using
- Help
- Course mechanics:
- Wiki: for lecture notes, your collective contributions
- Moodle: for uploading assignments
- Tuesdays: more lecturing, presenting material, answering questions.
- Thursdays: more review, demos, discussions, brainstorming...
- Self-guided days
- Pajek: practice makes perfect
- participation, including attendance, and demos (Thurs).
- chapter exercises, questions (due Thurs), assignments (due Tues)
- grading; late and missed work policies
- Course expectations
- Reading and exercises
- Homework
- Quizzes
- Research paper
- Homework
- Social structure. Read Preface, p. 1, and sections 1.1 to 1.3.2.
- Graph theory exercises.
- Brainstorm: examples of