Table 2 Persistence of triadic closures for each discursive community across the entire temporal period covered by our data set (51 days in total), on non-filtered projections.

From: Analysing Twitter semantic networks: the case of 2018 Italian elections

\(T_t\)

M5S

CDX

CSX

31%

(ricercapubblica, 8800precari, campagnaelettorale)

  

27%

  

(salvini, pd, m5s)

24%

(pd, italia, m5s)

 

(pd, lega, m5s); (pd, dimaio, m5s)

21%

(cnr, campagnaelettorale, ricercapubblica); (precari, campagnaelettorale, ricercapubblica); (politica, pd, m5s); (dimaio, pd, m5s); (lega, pd, m5s)

 

(m5s, dimaio, salvini); (liberieuguali, pd,m5s); (m5s, berlusconi, pd); (usa, europa, russia); (savona, accettolasfida, poterealpopolo)

20%

(berlusconi, pd, m5s); (ottoemezzo, pd, m5s); (salvini, pd, m5s); (berlusconi, politica, m5s); (centrodestra, pd, m5s); (italia, stopinvasione, italiani); (italia, stopislam, italiani); (campagnaelettorale, piemonte, forzaitalia); (m5s, pd, m5salgoverno)

(salvini, pd, m5s)

(pd, m5s, renzi); (pd, italia, m5s); (salvini, lega, m5s); (forzaitalia, pd, m5s); (fattinonparole, partitodemocratico, avanti); (berlusconi, salvini, pd); (salvini, m5s, berlusconi)

 

Dates

 

02 Mar 2018

20 Feb 2018

02 Mar 2018

 

20 Feb 2018

27 Feb 2018

06 Mar 2018

 

21 Feb 2018

02 Mar 2018

23 Feb 2018

 

07 Mar 2018

01 Mar 2018

04 Mar 2018

 

16 Feb 2018

22 Feb 2018

21 Feb 2018

  1. This analysis is particularly insightful to distinguish the behavior of the three communities: while the CSX and CDX communities are characterized by triads exclusively about political leaders, parties and electoral slogans, the triads observed within the M5S community focus more on themes of public interest. Notice that the largest \(T_t\) value, i.e. the largest percentage of days a specific triadic closure is present in our data set, is sensibly less than the number of days covered by our data set (i.e. 51). Dates refer to the days with the largest number of triadic closures.