Difference between revisions of "MCSN Tuesday, 13-Sep-11"

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(ESNAP reading and Pajek)
(ESNAP reading and Pajek)
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* Reading: Sections 1.1 to 1.3.2. - [http://vlado.fmf.uni-lj.si/pub/networks/data/esna/dining.htm dining table partners data]
 
* Reading: Sections 1.1 to 1.3.2. - [http://vlado.fmf.uni-lj.si/pub/networks/data/esna/dining.htm dining table partners data]
 
* Examine the data file in a text editor (note: be careful not to save as anything but "plain text"!)
 
* Examine the data file in a text editor (note: be careful not to save as anything but "plain text"!)
* Manipulate the network using Pajek
+
* Manipulate the network using Pajek (change reciprocated choices into edges)
* Manipulate the data using a text editor
+
* Manipulate the data using a text editor (add another person to the data)
 
* Create a new network from scratch
 
* Create a new network from scratch
 +
* ''Playing around with Pajek will help you understand both SNA and Pajek...and it's kind of fun!''
  
 
= Applications of SNA to music culture =
 
= Applications of SNA to music culture =

Revision as of 09:42, 13 September 2011

Today's assignment

Social structure. Read Preface, p. 1, and sections 1.1 to 1.3.2. Graph theory exercise due (distributed by email) - submit answers via the Moodle (see above for instructions regarding network diagrams). Brainstorm some MCSN examples with research questions.

Question of the day

  • How does a new musical trend (song, artist, style, genre) spread? (diffusion phenomenon)
  • What sorts of questions (naive) might we like to answer about such a phenomenon?
  • How could musical diffusion be modelled with SNA?
  • What sorts of research methods could be applied?

Review

Technical details

  • Any questions on using the Moodle?
  • Any problems with Pajek? Issues with Wine?
  • Were you able to obtain and open the Pajek datasets?
  • Note that Pajek help exists!

ESNAP reading and Pajek

  • Reading: Sections 1.1 to 1.3.2. - dining table partners data
  • Examine the data file in a text editor (note: be careful not to save as anything but "plain text"!)
  • Manipulate the network using Pajek (change reciprocated choices into edges)
  • Manipulate the data using a text editor (add another person to the data)
  • Create a new network from scratch
  • Playing around with Pajek will help you understand both SNA and Pajek...and it's kind of fun!

Applications of SNA to music culture


Graph theory (Wilson ch. 1)

ch. 1

  • vertex
  • edge,arc
  • degree
  • graph, digraph
  • multiple edges, loops
  • simple graph
  • walk (alternating sequence of connected vertices and lines)
  • path (alternating sequence of connected vertices and lines, such that the vertices don't repeat)
  • Eulerian graph (contains a walk containing every edge once, and returning to starting point)
  • Hamiltonian graph (contains a walk containing every vertex once, and returning to starting point)
  • connected and disconnected graphs
  • tree (only one path between each pair of vertices)
  • planar graph
  • counting graphs
    • isomorphic graphs, and difference
    • how many different simple graphs can you create with a fixed number of vertices? (1,2,3,4)
  • Wilson ch.1 questions