Lesson plan
Linked network
Linked network in statistics is a network, which is composed of one-node networks, where the nodes from different one-node networks are connected through two-node networks. This means, that "linked networks are collections of networks defined on different sets of nodes", where all sets of nodes must be connected to each other. Different examples of linked networks are: * multilevel networks, * dynamic networks (networks, measured at several different points in time), * dynamic multilevel networks, measured at several different points in time, * meta-networks, based on the PCANS model.
Article summary
Linked network in statistics is a network, which is composed of one-node networks, where the nodes from different one-node networks are connected through two-node networks. This means, that "linked networks are collections of networks defined on different sets of nodes", where all sets of nodes must be connected to each other. Different examples of linked networks are: * multilevel networks, * dynamic networks (networks, measured at several different points in time), * dynamic multilevel networks, measured at several different points in time, * meta-networks, based on the PCANS model.
Key claims
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Discussion questions
- Summarise the article in your own words. Which single claim would you verify first, and why?
- Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
- If two sources disagreed about one of these facts, what would you need in order to trust one over the other?
Bibliography
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Key claims and bibliography are generated from the same tracked claims and sources as the article page.