The graph represents a network of 193 Twitter users whose tweets in the requested range contained "sugartax", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 25 October 2020 at 13:00 UTC.
The requested start date was Sunday, 25 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 12-day, 10-hour, 26-minute period from Sunday, 11 October 2020 at 09:28 UTC to Friday, 23 October 2020 at 19:54 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 193
Unique Edges : 75
Edges With Duplicates : 282
Total Edges : 357
Number of Edge Types : 5
Retweet : 130
MentionsInRetweet : 150
Mentions : 32
Tweet : 28
Replies to : 17
Self-Loops : 29
Reciprocated Vertex Pair Ratio : 0.0161290322580645
Reciprocated Edge Ratio : 0.0317460317460317
Connected Components : 39
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 86
Maximum Edges in a Connected Component : 206
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.555624
Graph Density : 0.00510038860103627
Modularity : 0.474356
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 193 Twitter users whose tweets in the requested range contained "sugartax", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 25 October 2020 at 13:00 UTC.
The requested start date was Sunday, 25 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 12-day, 10-hour, 26-minute period from Sunday, 11 October 2020 at 09:28 UTC to Friday, 23 October 2020 at 19:54 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : sugartax
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[90] 40,miliardi [46] miliardi,dalla [46] dalla,manovra [46] manovra,2021 [46] 2021,accolte [46] accolte,proposte [46] proposte,#italiaviva [46] #italiaviva,luglio [46] luglio,l'assegno [46] l'assegno,unico Top Word Pairs in Tweet in G1:
[46] 40,miliardi [38] primo,libera [38] libera,governo [38] governo,alla [38] alla,legge [38] legge,bilancio [38] bilancio,20 [38] 20,21 [38] 21,40 [38] miliardi,investire Top Word Pairs in Tweet in G2:
[42] 40,miliardi [37] miliardi,dalla [37] dalla,manovra [37] manovra,2021 [37] 2021,accolte [37] accolte,proposte [37] proposte,#italiaviva [37] #italiaviva,luglio [37] luglio,l'assegno [37] l'assegno,unico Top Word Pairs in Tweet in G3:
[16] subida,impositiva [16] impositiva,cataluña [16] cataluña,consumo [16] consumo,productos [16] productos,perjudiciales [16] perjudiciales,salud [16] salud,cayó [16] cayó,39 [16] 39,co [15] cuestalozano,subida Top Word Pairs in Tweet in G4:
[6] #plastictax,#sugartax [5] #sugartax,#plastictax [2] sugar,tax Top Word Pairs in Tweet in G5:
[10] dopo,#sugartax [10] #sugartax,#plastictax [10] #plastictax,italiaviva [10] italiaviva,riesce [10] riesce,ad [10] ad,impedire [10] impedire,anche [10] anche,passaggio [10] passaggio,#merdatax [10] #merdatax,aiutando Top Word Pairs in Tweet in G6:
[3] #ubschoolofeconomics,professor [3] professor,fundacioieb [3] fundacioieb,researcher [3] researcher,juditvall [3] juditvall,appeared [3] appeared,sextanoticias [3] sextanoticias,presented [2] ubeconomics,#ubschoolofeconomics [2] presented,resul Top Word Pairs in Tweet in G8:
[2] heavy,#sugartax Top Word Pairs in Tweet in G9:
[4] mexican,latin [4] latin,american [4] american,#sugartax [4] #sugartax,initiatives [4] initiatives,succesful [4] succesful,partly [4] partly,tso's [4] tso's,stood [4] stood,ground [4] ground,against Top Word Pairs in Tweet in G10:
[2] lucasimuove,marattin [2] marattin,e' [2] e',sicuro [2] sicuro,#sugartax [2] #sugartax,applica [2] applica,ai [2] ai,liquidi [2] liquidi,zucchero [2] zucchero,non [2] non,fa Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: