  A study of the dynamical formation of networks of friends and enemies in
social media, in this case Twitter, is presented. We characterise the single
node properties of such networks, as the clustering coefficient and the degree,
to investigate the structure of links. The results indicate that the network is
made from three kinds of nodes: one with high clustering coefficient but very
small degree, a second group has zero clustering coefficient with variable
degree, and finally, a third group in which the clustering coefficient as a
function of the degree decays as a power law. This third group represents
$\sim2\%$ of the nodes and is characteristic of dynamical networks with
feedback. This part of the lattice seemingly represents strongly interacting
friends in a real social network.
