Difference between revisions of "MCSN Thursday,08-Sep-11"

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** Self-guided days, facilitators
 
** Self-guided days, facilitators
 
** Pajek: practice makes perfect!
 
** Pajek: practice makes perfect!
** Installing
+
*** Installing
** Using
+
*** Using
** [[Pajek help]]
+
*** [[Pajek help]]
 
** ESNAP: primary textbook
 
** ESNAP: primary textbook
 
** participation, including attendance, and demos (Thurs).
 
** participation, including attendance, and demos (Thurs).

Revision as of 10:24, 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)
        • Nodes represent social entities
        • Links represent relations between social entities
        • Properties of nodes and links:
          • Network properties
          • Attribute properties
    • Methods
      • Data collection
      • Data analysis
      • Statistical measures
      • Exploration vs hypothesis testing
      • Software: Pajek: download and install
    • Ethics
    • Brief history of SNA
  • MCSN: Applications of SNA to ethnomusicology, considering MCSN
    • Musical networks (MNs)
    • Musical Social Networks (MSNs)
    • Research in MCSN
  1. Defining a relevant phenomenon
  2. Formulating a naive research question (how? what? why?)
  3. Theorizing the question using a model derived from SNA theory
    1. exploratory research
    2. variable analysis research (comparing networks, or relating network and attribute variables within a single network)
  4. Designing a feasible research method to answer the question
  • 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, facilitators
    • Pajek: practice makes perfect!
    • 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: examples of