The present work improves both the research hypotheses and the methodological study from the same authors, and aimes at working out the connections between technology–driven needs and social–related patterns in the Long–Term Care (LTC) milieu, seen as a complex disease network, from which many classes of chronic pathologies (namely, Thalassemia, Cardiovascular diseases, Diabetes Mellitus type 2) can be identified as peculiar subnetworks. The adoption and implementation of the Social Network Analysis to study the dynamics concerning technology–assisted LTC emerges as efficacious mean to strengthen the paradigm of patient-centered care, providing new perspectives for recognizing how the set of interactions and relationships within a "virtual team" (including formal and informal carers from different organizations) can bring to higher levels of knowledge transfer, organizational learning and innovation spreading.