The AIS is a tracking system used on ships to provide information on surrounding traffic situation and supplements marine radar as a collision avoidance device. The data acquired from AIS systems also constitute a new means of information for the maritime community, or the wider public. This part of the analysis is based on a database constructed using the IHS maritime database (https://maritime.ihs.com/) and with collected data from AIS Hub, a data sharing service which provides access to real time ship positions for vessel tracking systems. This paper proposes an analysis based on AIS signals (2016, 2018 &2020 periods) to study the strategy of Shipping Container Companies. This communication proposes a starting point for the analysis of the interconnection between the global trades maritime services (deep-sea containers shipping lines) and feeder and Short Sea Shipping services in the Adriatic Sea. This work jointly implements Data Mining (Principal Components Analysis), Mapping and some Graph Theory tools (entire graph structure) applied both to maritime global and local networks and to the strategies of Container Carriers and their linked local partners.