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Social Network Analysis:
           An Overview


                           David Passmore
       Workforce Education & Development
   The typical research study examines relationships
     among variables (focus on variables)
     ◦ Data most frequently are organized in a cases-by-variable
       matrix for analysis
     ◦ Usually samples from populations, requiring inferential
       processes to estimate population values
    A social network analysis (SNA) studies relationships
     among entities (focus is on relationships)
     ◦ Data typically organized in an entity-by-entity matrix
     ◦ Inferential processes are developed, but rarely used



Social network analysis focuses on relationships, not attributes
 A network is composed of a series of nodes
   interconnected by communication paths
  Examples:
     ◦ Physical, as in a storm water management system that
       connects street drains to corrugated pipes that, eventually,
       aggregate storm water to treatment plants.
     ◦ Virtual, as in a network of linked computers
     ◦ Biological, as in a nervous system composed of synapses
       that pass chemical or electrical signals among neurons
     ◦ Networks also can be social



They are all around us
   A social network is composed of nodes represented
    by individuals or organizations that are linked by
    such social factors as friendship, kinship, common
    interest, or financial exchange.


   As with any network, the structure of links among
    nodes in a social network can be represented by a
    network diagram.
Often called a “digraph”
   What social relationships are important in workforce
    education & development?




   How could information about social networks be
    used for improvement of organization?
These, and others, are used in SNA
Number of actual links ÷ number of possible non-redundant links
Average of number of links between all possible pairs of nodes
Number of isolates ÷ number of nodes in the network
A subset of nodes that are all interconnected
A node that connects two otherwise unconnected nodes
Social Network Analysis:
           An Overview


                           David Passmore
       Workforce Education & Development

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Social Network Analysis: An Overview

  • 1. Social Network Analysis: An Overview David Passmore Workforce Education & Development
  • 2. The typical research study examines relationships among variables (focus on variables) ◦ Data most frequently are organized in a cases-by-variable matrix for analysis ◦ Usually samples from populations, requiring inferential processes to estimate population values  A social network analysis (SNA) studies relationships among entities (focus is on relationships) ◦ Data typically organized in an entity-by-entity matrix ◦ Inferential processes are developed, but rarely used Social network analysis focuses on relationships, not attributes
  • 3.  A network is composed of a series of nodes interconnected by communication paths  Examples: ◦ Physical, as in a storm water management system that connects street drains to corrugated pipes that, eventually, aggregate storm water to treatment plants. ◦ Virtual, as in a network of linked computers ◦ Biological, as in a nervous system composed of synapses that pass chemical or electrical signals among neurons ◦ Networks also can be social They are all around us
  • 4. A social network is composed of nodes represented by individuals or organizations that are linked by such social factors as friendship, kinship, common interest, or financial exchange.  As with any network, the structure of links among nodes in a social network can be represented by a network diagram.
  • 5.
  • 6.
  • 7.
  • 8. Often called a “digraph”
  • 9. What social relationships are important in workforce education & development?  How could information about social networks be used for improvement of organization?
  • 10. These, and others, are used in SNA
  • 11. Number of actual links ÷ number of possible non-redundant links
  • 12. Average of number of links between all possible pairs of nodes
  • 13. Number of isolates ÷ number of nodes in the network
  • 14. A subset of nodes that are all interconnected
  • 15. A node that connects two otherwise unconnected nodes
  • 16. Social Network Analysis: An Overview David Passmore Workforce Education & Development