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Network Theory and Its Implication in Organizations Kristen Baldauf HuijunSuo
Network Basics 2 Parts of a Network: Nodes (People) Edges (Connections) To Study Network Theory: Unit of measurement is a dyad  Variables are  social relations , not personal attributes
Network facebook connection data Facebook Wheel project website Kristen's Facebook wheel interactive display
Facebook Network Example
Types of Social Relations Similarities: hobbies, likes, dislikes, kin, role-based (i.e. boss)  Interactions: asked advice, contacted by some form, influenced by, had sex with, shared information, etc.
For Organizations How does the network help organizations? Proximity matters Different connections mean different things Strength of Weak Ties
Key Concepts (Units of Analysis) Nodes: actors (different levels) ,[object Object]
groups
communities
organizations
nationsTies: relationships (complex) ,[object Object]
trade
telecommunication ,[object Object]
organization: suppliers, customers, allies and   competitors (ecology of your business )
community: civil engagement (“Bowling Alone”),[object Object]
Terms in Data Analysis: Clique Maximal complete sub-graph Every possible pair of points is directly connected by a line

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Network Theory Final Draft

  • 1. Network Theory and Its Implication in Organizations Kristen Baldauf HuijunSuo
  • 2. Network Basics 2 Parts of a Network: Nodes (People) Edges (Connections) To Study Network Theory: Unit of measurement is a dyad Variables are social relations , not personal attributes
  • 3. Network facebook connection data Facebook Wheel project website Kristen's Facebook wheel interactive display
  • 5. Types of Social Relations Similarities: hobbies, likes, dislikes, kin, role-based (i.e. boss) Interactions: asked advice, contacted by some form, influenced by, had sex with, shared information, etc.
  • 6. For Organizations How does the network help organizations? Proximity matters Different connections mean different things Strength of Weak Ties
  • 7.
  • 11.
  • 12. trade
  • 13.
  • 14. organization: suppliers, customers, allies and competitors (ecology of your business )
  • 15.
  • 16. Terms in Data Analysis: Clique Maximal complete sub-graph Every possible pair of points is directly connected by a line
  • 17. Terms in Data Analysis: Structural Equivalence Function: same the extent to which nodes have a common set of linkages to other nodes in the system
  • 18. Terms in Data Analysis: Structural Hole Broker between two nodes Introduce social capital
  • 19. Terms in Data Collection Ego Network Closed/Whole Network
  • 20. Software UCINET (free for 60 days) http://www.analytictech.com/ucinet/ MultiNet
  • 21. Books Scott, J. (2000). Social network analysis: A handbook (2nd edition). London: Sage Publications. Hanneman, R. A., & Riddle, M. (2005). Introduction to social network methods. Riverside, CA: University of California, Riverside (available at http://faculty.ucr.edu/~hanneman/)
  • 22. Journal Articles Shumate, M., Fulk, J., & Monge, P. (2005). Predictors of the HIV/AIDS INGO network over time. Human Communication Research, 31, 482-510. Uzzi, B. (1997). Social structure and competition in interfirm networks: The paradox of embeddedness. Administrative Science Quarterly, 42(1), 35-67.