  Social media has dramatically influenced how individuals and groups express
their demands, concerns and aspirations during social demonstrations. The study
of X or Twitter hashtags during those events has revealed the presence of some
temporal points characterised by high correlation among their participants. It
has also been reported that the connectivity presents a modular-to-nested
transition at the point of maximum correlation. The present study aims to
determine whether it is possible to characterise this transition using
entropic-based tools. Our results show that entropic analysis can effectively
find the transition point to the nested structure, allowing researchers to know
that the transition occurs without the need for a network representation. The
entropic analysis also shows that the modular-to-nested transition is
characterised not by the diversity in the number of hashtags users post but by
how many hashtags they share.
