The graph represents a network of 8 specified Twitter users (Contraception Influencers User Network Analysis). The network was obtained from Twitter on Thursday, 25 August 2022 at 17:55 UTC.
It shows who was mentioned or replied to in the users' recent tweets.
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 : 6147
Unique Edges : 4367
Edges With Duplicates : 12355
Total Edges : 16722
Number of Edge Types : 5
Replies to : 6513
Retweet : 1863
Mentions : 4188
MentionsInRetweet : 688
Tweet : 3470
Self-Loops : 3498
Reciprocated Vertex Pair Ratio : 0.000314218381775334
Reciprocated Edge Ratio : 0.000628239359195854
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 6147
Maximum Edges in a Connected Component : 16722
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 4.021263
Graph Density : 0.000168530721797997
Modularity : 0.336543
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 8 specified Twitter users (Contraception Influencers User Network Analysis). The network was obtained from Twitter on Thursday, 25 August 2022 at 17:55 UTC.
It shows who was mentioned or replied to in the users' recent tweets.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterUsers
Graph Term : Contraception Influencers User Network Analysis
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[86] eu,não [62] não,tem [43] sanidad,pública [42] health,care [41] year,old [40] eu,sou [37] mas,não [33] don,know [33] pra,mim [33] eu,tô Top Word Pairs in Tweet in G1:
[32] rapid,tests [30] health,care [25] bodily,autonomy [23] school,board [21] don,know [21] covid,19 [21] year,old [17] public,health [17] maestra_momma,minkiemom17 [17] minkiemom17,jerseygal72 Top Word Pairs in Tweet in G2:
[20] year,old [19] forced,birth [18] mehmet,oz [17] dr,oz [13] 10,year [13] supreme,court [13] john,fetterman [12] health,care [12] breast,cancer [12] don,know Top Word Pairs in Tweet in G3:
[38] eu,não [21] não,tem [21] eu,sou [17] muito,obrigada [17] jonesmanoel_pcb,pqnadea [16] em,bh [15] pelo,apoio [15] isso,não [14] pra,mim [14] mas,eu Top Word Pairs in Tweet in G4:
[47] eu,não [41] não,tem [27] candidata,deputada [25] instagram,twitter [23] mas,não [21] ela,não [21] minha,mãe [21] eu,já [21] eu,tenho [21] deputada,estadual Top Word Pairs in Tweet in G5:
[43] sanidad,pública [18] clase,media [14] parir,epidural [10] quién,necesita [10] seguridad,social [9] parir,dolor [9] necesita,leer [9] sahrawifeminist,paintedsheila [9] shine_mcshine,dani_pellicer [8] mis,padres Top Word Pairs in Tweet in G6:
[6] pré,natal [4] não,planejada [3] ainda,mais [3] conta,demanda [3] casos,complexos [3] às,vezes [3] colo,útero [3] não,havia [2] casos,mais [2] anitta,obrigado Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
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: