- Jun 2020
Liu, Andrew, and Mason A. Porter. ‘Spatial Strength Centrality and the Effect of Spatial Embeddings on Network Architecture’. Physical Review E 101, no. 6 (9 June 2020): 062305. https://doi.org/10.1103/PhysRevE.101.062305.
- spatial strength centrality
- latent space
- smaller probabilities
- spatial embeddings
- longer edges
- synthetic network
- geographical fitness
- Aug 2019
- Sep 2017
We will be doing this in the second half of the class. The first part looks at nodal metrics.
challenging for those using SNA.
It is the blessing and the curse of SNA--it can do so much but it can also do too much. The analyst has to be clear in their question, defining what is a node and what is a link. It can get even trickier since nodes and links can also be reversed. Sometimes a node can be a link and a link can also be a node!
networks the individual is a part of may have impacted that action.
The focus of analysis is on the space between the individuals, i.e. the air, rather than on the character or traits of the individual. The traits and character can be used to understand what is going on in the relationship but SNA measures the links not the nodes.
it shows the six degrees of separation.
What SNA will help with is not only creating visuals of networks but providing metrics to be able to understand the different roles and positions each nodes plays in the network as well as comparing different network structures.