Difference between revisions of "MCSN Thursday,08-Sep-11"
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* What is music culture? Broad definition: | * What is music culture? Broad definition: | ||
** social: relations and practices of music | ** social: relations and practices of music | ||
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** Social structure. Read Preface, p. 1, and sections 1.1 to 1.3.2. | ** Social structure. Read Preface, p. 1, and sections 1.1 to 1.3.2. | ||
** Read Robin Wilson, ''Introduction to Graph Theory,'' ch. 1 and do the exercises at the end of the chapter. | ** Read Robin Wilson, ''Introduction to Graph Theory,'' ch. 1 and do the exercises at the end of the chapter. | ||
| − | ** Brainstorm: your examples of MCSN with research questions | + | ** Brainstorm: your examples of [[brainstorming MCSN|MCSN with research questions]] |
Revision as of 10:26, 7 September 2011
- 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?
- 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)
- Nodes represent social entities
- Links represent relations between social entities
- Properties of nodes and links:
- Network properties
- Attribute properties
- What is a graph? Some terms.
- Methods
- Data collection
- Data analysis
- Statistical measures
- Exploration vs hypothesis testing
- Software: Pajek: download and install
- Ethics
- Brief history of SNA
- Theory of Graphs, and its applications to social groups
- MCSN: Applications of SNA to ethnomusicology, considering MCSN
- Musical networks (MNs)
- Musical Social Networks (MSNs)
- Research in MCSN
- Defining a relevant phenomenon
- Formulating a naive research question (how? what? why?)
- Theorizing the question using a model derived from SNA theory
- exploratory research
- variable analysis research (comparing networks, or relating network and attribute variables within a single network)
- Designing a feasible research method to answer the question
- Course mechanics:
- Wiki: for course outline, resources, 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, facilitators
- Pajek: practice makes perfect!
- Installing
- Using
- Pajek help
- ESNAP: primary textbook
- participation, including attendance, and demos (Thurs).
- chapter exercises, questions (due Thurs), assignments (due Tues)
- grading; late and missed work policies
- Course outline: bit.ly/mcsn
- Course expectations
- Reading and exercises
- Homework
- Quizzes
- Research paper
- Homework
- Social structure. Read Preface, p. 1, and sections 1.1 to 1.3.2.
- Read Robin Wilson, Introduction to Graph Theory, ch. 1 and do the exercises at the end of the chapter.
- Brainstorm: your examples of MCSN with research questions
