Figure 2 . Trade flow in SC state from 2015-01-01 and
2017-12-31. Arrows are weighted by the percentage of total movements
and, the color indicates the origin of the movement. Circles represent
the total of premises for each type of classification, and the size
approximates the total of premises grouped by the circle.
Static network and Fragmentation
The yearly analysis of the static network showed a slight decrease
through time for some metrics (number of nodes and edges, diameter,
GSCC, Clustering coefficient and, GWCC) between 2015 and 2016 (Table 3).
The GSCC represented just 6.41 % of the total nodes for all years, and
we found large differences in the size of the GSCC when we compared the
annual networks and the overall network (aggregated across all years).
The number of swine moved, graph density, and mean path length increased
over time.
The full 2015-17 network had a fragmentation of 0.13 and GWCC of 0.93,
whereas the yearly snapshots networks were between 0.06 and 0.09 for
fragmentation and 0.95 and 0.96 for the GWCC (Table 3). Taken together,
these values indicate that the network exhibits a high degree of
connectivity.
Table 3. Description of the annual static network and
fragmentation values from 2015 to 2017, and for the overall network
(2015-17) in the state of Santa Catarina, Brazil. The sizes of the
components are presented in the number and percentage of total nodes in
the network.