Lesson plan
Signed network
In a social network analysis (as in blockmodeling), a positive or a negative 'friendship' can be established between two nodes in a network; this results in a signed network. As social interaction between people can be positive or negative, so can be links between the nodes (representing persons). When a positive or a negative value is attributed on the relationship between the two nodes, it is called a user evaluation. In social groups, people can like or dislike, respect or disrespect other people in their social groups. The quality of such connections can be further analysed, as a positive connections can have a positive influence on the whole network (one person on social group or society in general) and vice versa. When network connections are not evaluated between the nodes (e.g., all connections are regarded as positive - as they exist), then such a network is defined as an unsigned network. For intrinsically dense unsigned networks where link weights can be observed, the underlying networks may actually be signed networks. The underlying signed network backbones can be extracted using significance filter and vigor filter using open-source software packages in R and Python.
Article summary
In a social network analysis (as in blockmodeling), a positive or a negative 'friendship' can be established between two nodes in a network; this results in a signed network. As social interaction between people can be positive or negative, so can be links between the nodes (representing persons). When a positive or a negative value is attributed on the relationship between the two nodes, it is called a user evaluation. In social groups, people can like or dislike, respect or disrespect other people in their social groups. The quality of such connections can be further analysed, as a positive connections can have a positive influence on the whole network (one person on social group or society in general) and vice versa. When network connections are not evaluated between the nodes (e.g., all connections are regarded as positive - as they exist), then such a network is defined as an unsigned network. For intrinsically dense unsigned networks where link weights can be observed, the underlying networks may actually be signed networks. The underlying signed network backbones can be extracted using significance filter and vigor filter using open-source software packages in R and Python.
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.