Homework on network descriptive statistics
Let consider the following two datasets
data(aidsblog) and data(yeast)
Note that aidsblog is contained in the sand package (so run library(sand) to load it with the command data(aidsblog) )
Yeast is contained in the igraphdata package (so run library(igraphdata) to load it with the command data(yeast) )
According to the nature of the data:
1) compute and comment some global network statistics (including size, number of edges, and diameter, please refer for instance to the example of co-authorship in the data collection slides)
2) if needed decompose the network into distinct components
3) compute some centrality scores for the individual vertices
4) extract the ego-network the most central vertex according to at east 2 centrality score (e.g., degree and closeness) and compute and comment the local clustering coefficient
Please deliver an R script containing both your code and comments by April 19th possibly.