Difference between revisions of "MCSN Thursday,08-Sep-11"
Line 21: | Line 21: | ||
** Ethics | ** Ethics | ||
** Brief history of SNA | ** Brief history of SNA | ||
− | * MCSN: Applications to ethnomusicology | + | * MCSN: Applications of SNA to ethnomusicology, considering MCSN |
** Musical networks (MNs) | ** Musical networks (MNs) | ||
** Musical Social Networks (MSNs) | ** Musical Social Networks (MSNs) | ||
** Research in MCSN | ** 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 | ||
+ | ## comparative research and variable analysis | ||
+ | # Designing a feasible research method to answer the question | ||
* Pajek | * Pajek | ||
** Installing | ** Installing | ||
Line 39: | Line 45: | ||
** chapter exercises, questions (due Thurs), assignments (due Tues) | ** chapter exercises, questions (due Thurs), assignments (due Tues) | ||
** grading; late and missed work policies | ** grading; late and missed work policies | ||
+ | ** Course outline: bit.ly/mcsn | ||
** Course expectations | ** Course expectations | ||
*** Reading and exercises | *** Reading and exercises | ||
Line 46: | Line 53: | ||
* Homework | * Homework | ||
** 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. | ||
− | ** Graph | + | ** Read Robin Wilson, ''Introduction to Graph Theory,'' ch. 1 and do the exercises at the end of the chapter. |
** Brainstorm: examples of | ** Brainstorm: examples of |
Revision as of 10:16, 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?
- 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
- 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
- comparative research and variable analysis
- Designing a feasible research method to answer the question
- 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 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: examples of