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1. Social network analysis is motivated by a structural intuition,
2. It is grounded in systematic empirical data,
3. It draws heavily on graphic imagery, and
4. It relies on the use of mathematical and/or computational
models.
Structural Intuitions:
• Alex Bavelas—Productivity, Leadership and Morale
• Torsten Hagerstrand—Information & Space
• Elizabeth Bott—Support and Control
• Peter Blau—Homophily
• Mark Granovetter—Social Organization
Structural Intuitions:
• Alex Bavelas—Productivity, Leadership and Morale
• Torsten Hagerstrand—Information & Space
• Elizabeth Bott—Support and Control
• Peter Blau—Homophily
• Mark Granovetter—Social Organization
Hagerstrand—Spatial Diffusion
•Census data on the spread of an innovation in space
• Wave-like patterning
•Assumed pair-wise process
•Distance/decay in contact
•Estimated by addresses of brides and grooms
Structural Intuitions:
• Alex Bavelas—Productivity, Leadership and Morale
• Torsten Hagerstrand—Information & Space
• Elizabeth Bott—Support and Control
• Peter Blau—Homophily
• Mark Granovetter—Social Organization
Structural Intuitions:
• Alex Bavelas—Productivity, Leadership and Morale
• Torsten Hagerstrand—Information & Space
• Elizabeth Bott—Support and Control
• Peter Blau—Homophily
• Mark Granovetter—Social Organization
Structural Intuitions:
• Alex Bavelas—Productivity, Leadership and Morale
• Torsten Hagerstrand—Information & Space
• Elizabeth Bott—Support and Control
• Peter Blau—Homophily
• Mark Granovetter—Social Organization
Nonsymmetric
• For at least 1 element in A, a1 R a 2 and a2
R a 1
• For at least 1 element in A, a1 R a 2 and a2
~R a 1
Systematic Observation
1988Freeman, Freeman & Michaelson
Recording Devices
2004Bulkley & van Alstyne