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)
    • Methods
      • Data collection
      • Data analysis
      • Statistical measures
      • Exploration vs hypothesis testing
      • Software: Pajek: download and install
    • Ethics
  • 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