Network Theory Final Draft
- 1. Network Theory and Its Implication in OrganizationsKristen BaldaufHuijunSuo
- 2. Network Basics2 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. Networkfacebook connection dataFacebook Wheel project websiteKristen's Facebook wheel interactive display
- 5. Types of Social RelationsSimilarities: 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 OrganizationsHow does the network help organizations?Proximity mattersDifferent connections mean different thingsStrength of Weak Ties
- 7. Key Concepts (Units of Analysis)Nodes: actors (different levels)individuals
- 8. groups
- 9. communities
- 10. organizations
- 12. trade
- 13. telecommunication Implication: Social Capital Resources accumulated by social networks Various implications: individual: job hunting (strength of weak ties)
- 14. organization: suppliers, customers, allies and competitors (ecology of your business )
- 15. community: civil engagement (“Bowling Alone”)Terms in Data Analysis: CentralityHow well each node is connected to its network Degree centrality: count of the # of ties to other actors in the network
- 16. Terms in Data Analysis: CliqueMaximal complete sub-graphEvery possible pair of points is directly connected by a line
- 17. Terms in Data Analysis: Structural Equivalence Function: samethe extent to which nodes have a common set of linkages to other nodes in the system
- 18. Terms in Data Analysis: Structural HoleBroker between two nodesIntroduce social capital
- 19. Terms in Data CollectionEgo Network Closed/Whole Network
- 20. SoftwareUCINET (free for 60 days)http://www.analytictech.com/ucinet/MultiNet
- 21. BooksScott, 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 ArticlesShumate, 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.