The graph represents a network of 16,549 Twitter users whose recent tweets contained "vacunas", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 21 June 2021 at 20:09 UTC.
The tweets in the network were tweeted over the 2-hour, 0-minute period from Monday, 21 June 2021 at 17:28 UTC to Monday, 21 June 2021 at 19:28 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 : 16549
Unique Edges : 25658
Edges With Duplicates : 3509
Total Edges : 29167
Number of Edge Types : 5
Retweet : 14467
MentionsInRetweet : 6488
Replies to : 2661
Mentions : 3129
Tweet : 2422
Self-Loops : 2494
Reciprocated Vertex Pair Ratio : 0.00529397609689581
Reciprocated Edge Ratio : 0.0105321950051863
Connected Components : 1759
Single-Vertex Connected Components : 814
Maximum Vertices in a Connected Component : 12619
Maximum Edges in a Connected Component : 24927
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 8.238946
Graph Density : 9.15309072625616E-05
Modularity : 0.774837
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 16,549 Twitter users whose recent tweets contained "vacunas", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 21 June 2021 at 20:09 UTC.
The tweets in the network were tweeted over the 2-hour, 0-minute period from Monday, 21 June 2021 at 17:28 UTC to Monday, 21 June 2021 at 19:28 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 : TwitterSearch
Graph Term : vacunas
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:
[2472] millones,vacunas [1647] 35,millones [1235] vacunas,cansino [1066] cansino,empresa [1028] empresa,fantasma [994] millones,dosis [947] contrató,35 [834] covid,19 [830] empresa,inexistente [828] méxico,contrató Top Word Pairs in Tweet in G1:
[1491] 35,millones [1253] millones,vacunas [1099] vacunas,cansino [922] cansino,empresa [872] contrató,35 [866] empresa,fantasma [792] méxico,contrató [768] empresa,inexistente [617] vacunas,chinas [444] inexistente,uninoticias Top Word Pairs in Tweet in G2:
[360] rechazaron,13 [359] denunciar,penalmente [359] penalmente,ciudadanos [359] ciudadanos,violaron [359] violaron,cuarentena [359] cuarentena,rechazaron [359] 13,mill [359] mill,vacunas [359] vacunas,pasean [359] pasean,europa Top Word Pairs in Tweet in G3:
[311] millones,vacunas [275] semana,récord [263] astrazeneca,sinopharm [262] vacunas,argentina [261] sinopharm,astrazeneca [259] millones,semana [259] llegada,vacunas [258] espera,semana [258] récord,arribos [258] arribos,vacunas Top Word Pairs in Tweet in G4:
[112] millones,vacunas [99] covid,19 [79] vacunas,contra [68] contra,covid [47] dosis,vacunas [35] 14,millones [33] estados,unidos [27] millones,dosis [26] segunda,dosis [25] donará,14 Top Word Pairs in Tweet in G5:
[445] comprar,vacunas [420] oye,mario_delgado [420] mario_delgado,dinero [420] dinero,morena [420] morena,iba [420] iba,donar [420] donar,comprar [196] jefa,gobierno [193] méxico,noveno [193] noveno,vacunados Top Word Pairs in Tweet in G6:
[217] alba,caracas [217] segunda,dosis [177] vacunas,sputnik [148] sputnik,aplicar [148] aplicar,segunda [148] dosis,informan [148] informan,funcionarios [148] funcionarios,alba [148] caracas,sobra [148] sobra,gente Top Word Pairs in Tweet in G7:
[340] vacunaron,esquema [340] esquema,completo [340] completo,favor [340] favor,vacunen [340] vacunen,nuevamente [340] nuevamente,volver [340] volver,perú [340] perú,sabemos [340] sabemos,seguro [340] seguro,ti Top Word Pairs in Tweet in G8:
[201] 50,millones [188] millones,dosis [114] méxico,compró [114] compró,vacunas [97] vacunas,decían [97] decían,50 [97] dosis,idea [97] idea,generar [97] generar,miedo [93] millones,vacunas Top Word Pairs in Tweet in G9:
[107] vacunas,gente [106] saben,alguien [106] alguien,50 [106] 50,estén [106] estén,inscritos [106] inscritos,700 [106] 700,vacunas [106] gente,vacunar [106] vacunar,url [55] amelia,flores Top Word Pairs in Tweet in G10:
[121] cuántas,vacunas [57] haber,comprado [52] vacunas,pudieron [52] pudieron,haber [46] vacunas,podrían [45] comprar,dinero [44] presidente,nicolasmaduro [44] salvar,vidas [43] señor,señora [43] vacunas,anti 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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 G4:
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: