Análisis de redes sociales e historia contemporánea

This paper aims to discuss the potential of social network to highlight hidden or nonlinear patterns in relational data analysis in contemporary historical research. Individuals —and many other entities— can
be suitably shaped by the presence of connections with others, in time
or space, due to institutional affiliation or patronage, transactions or migration, etc. Network analysis’s methods and its graphic tools help visualize networks and their dynamics diachronically, assess the role of single
individuals in bonding or bridging other actors, rank them according to
their «centrality» or «core-periphery» scores, identify structures across
individuals and simplify complex structures through block-modeling.