The analysis of domestic pig movements have became useful in the understanding of disease spread patterns and epidemiology, which facilitates the development of more effective animal diseases control strategies. The aim of this work was to analyse the static and spatial characteristics of the pig network, to identify its trading communities and to analyse the contribution of the network to the transmission of classical swine fever. Pig movement data were extracted from the national veterinary service database (2017-2019), using social network analysis and spatial analysis we constructed a network with registered premises as nodes and their movements as edges, and also a network of parishes as its nodes aggregating their premises movements as edges. The annual network metrics showed in average a diameter of 20.33, a number of neighbours of 2.61, a shortest path length of 4.39 and a clustering coefficient of 0.38 (small-world structure). The most frequent movements were to or from markets (57%). Backyard producers made up 89% of the network premises, and the top 2% of parishes (highest degree) contributed to 50% of the movements. The highest frequencies of movements between parishes were in the centre of the country, while the highest frequency of movements to abattoirs was in the south-west. Finally, the pattern of CSF disease outbreaks within the Ecuador network was likely the result of network transmission processes. In conclusion, our results represent the first exploratory analysis of domestic pig movements at premise and parish levels. These results could be taken into account by the surveillance system to improve its procedures and update the disease control and management policy, allowing the implementation of targeted or risk-based surveillance.