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Summary: Hoorcollege 2
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Read the summary and the most important questions on 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
Show more cards here -
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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