Summary: Hoorcollege 2

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  • 2 introduction to social network analysis

    This is a preview. There are 18 more flashcards available for chapter 2
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  • What does SNA stand for

    Social networks analysis
  • What is attribute and what is relational data

    Attribute data: characteristics of individuals
    Relational data: characteristics of relations between individuals (who likes whom)
  • What is a node

    Nodes are actors.

    Nodes van be individuals people, organisations etc. 
  • What are ties. Name three examples

    Relations between nodes.
    - Friendship
    - Acquaintance 
    - Love
    - Hate
    - Trade/exchange
    - Authority
    - Proximity (who sits next to whom?)
  • What are directed ties

    Ø tie runs “from” one actor “to” another
    § Examples: liking, friendship (!!!, does not need to be in 2 ways), citation, etc.
    § Directed ties may be reciprocated
  • What are undirected ties

    Ø tie runs in both directions by definition 
    § Examples: marriage, kinship, collaboration (needs to be in both ways, can’t be seen separately)
    § Directed ties often studied as undirected for simplicity
  • What are weighted networks

    - networks: we can assign a strength to a tie
    o Examples: good friends versus “regular” friends in friendship networks, call volume in telephone networks
  • What are unweighted networks

    - ” networks: ties have no inherent strength; either exist or do not exist
    o Examples: marriage, being colleagues (can’t be a little married)
    o Often used instead of weighted networks for simplicity
  • What are ego networks

     ties between egos and alters
  • What are two-mode networks

    1. relations between, but not within, 2 (or more) types of entities  example: influence in the Netherlands (Volkskrant)
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