Before revision:  Remarkably, our community detection technique is sensitive enough to clearly highlight the dynamics characterizing the relationship among the governmental parties: an example is provided by the effects of the 2019 Italian government crisis on a number of center-left leaning users - the future members of the Italy Alive party (`Italia Viva') - whose Twitter activity become markedly different from that of their former party members - the supporters of the Democratic Party (`Partito Democratico').On the `semantic ' side, instead, the networks of hashtags are characterized by a mesoscale structure which appears to be core-periphery - a seemingly recurrent pattern that is present also in the semantic networks characterizing the online debate in the run up of the 2018 Italian elections .
After revision:  Remarkably, our community detection technique is sensitive enough to clearly highlight the dynamics characterizing the relationship among different political forces.As regards the semantic analysis, our networks of hashtags are characterized by a mesoscale structure which appears to be core-periphery - a seemingly recurrent pattern that is present also in the semantic networks characterizing the online debate in the run up of the 2018 Italian elections .