directed networks
weighted networks
sorts, and their quantitites
time
discover multiplex networks
reciprocity
assorativity
Theme: discover non-trivial relationships among countries
look at how they trade and what they trade
The country-to-product network induces country-to-country and product-to-product relationships.
\[ C = M_{cp}\cdot M_{cp}^T \]
\[ P = M_{cp}^T\cdot M_{cp} \]
For a node i, let \(k_i\) be its degree.
For directed networks: \(k_i = k_i^{in} + k_i^{out}\).
The distribution of degree \(P(k)\) provides a signature of the network.
The average degree is denoted \(\langle k \rangle.\)
For a given directed network, reciprocity is the probability that of having links in both directions between two vertices.
R measures how the economies of two countries become interconnected (or interdependent).
\[ r = \frac{L^\leftrightarrow}{L} \]
\(L^\leftrightarrow\): number of reciprocal links
\(L\): total number of links.
Do vertices tend to connect with those with similar/dissimilar degree? Compute
\[ K_{nn}(i) = \frac{\sum_{\langle ij\rangle} k_j}{k_i} \]
\[ K_{nn}(d) = \frac{\sum_{i:k_i=d} K_{nn}(i)}{n_d} \]
\[ K_{nn}(d) = \frac{\sum_{i:k_i=d} K_{nn}(i)}{n_d} \]
Are \(d\) and \(K_{nn}(d)\) close?
Does assortativity grow over time?
The export matrix \(M\) is an adjacency matrix which reprents a bipartite graph.
Each scalar value \(M_{cp}\) corresponds to the aggregated export of product \(p\) by country \(c.\)
We can compute fractional ownership of export, product by product.
Many countries export coffee, so none really controls it.
Italy exports 100% of Bergamot oil (cfr. Prince of Wales tea).
The Revealed Comparative Advantage (RCA) is in controlling a high fraction of some product.
\(\sum_{p^\prime} M_{cp^\prime}\): total value of export by country \(c\).
\(\textrm{RCA}_{cp} = \frac{\frac{M_{cp}}{\sum_{p^\prime} M_{cp^\prime}}}{\frac{\sum_{c^\prime} M_{c^\prime p}}{\sum_{c^\prime} \sum_{p^\prime} M_{c^\prime p^\prime}}}\)