The graph represents a network of 14,579 Twitter users whose recent tweets contained "#COVID19espana", 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 Tuesday, 10 March 2020 at 18:55 UTC.
The tweets in the network were tweeted over the 23-hour, 37-minute period from Monday, 09 March 2020 at 18:25 UTC to Tuesday, 10 March 2020 at 18:02 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 : 14579
Unique Edges : 16819
Edges With Duplicates : 2864
Total Edges : 19683
Number of Edge Types : 5
Retweet : 11493
Tweet : 3422
MentionsInRetweet : 2992
Mentions : 1312
Replies to : 464
Self-Loops : 3498
Reciprocated Vertex Pair Ratio : 0.0017593014921483
Reciprocated Edge Ratio : 0.00351242357226486
Connected Components : 2031
Single-Vertex Connected Components : 1485
Maximum Vertices in a Connected Component : 11307
Maximum Edges in a Connected Component : 16021
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.122279
Graph Density : 7.23371168239543E-05
Modularity : 0.749698
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 14,579 Twitter users whose recent tweets contained "#COVID19espana", 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 Tuesday, 10 March 2020 at 18:55 UTC.
The tweets in the network were tweeted over the 23-hour, 37-minute period from Monday, 09 March 2020 at 18:25 UTC to Tuesday, 10 March 2020 at 18:02 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 : #COVID19espana
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:
[2085] #coronavirusmadrid,#covid19espana [1597] pasa,#covid19espana [1595] merecemos,pasa [1274] ortega,smith [1133] #coronavirusespana,#covid19espana [960] toda,españa [829] #covid19espana,#coronavirusmadrid [705] coronavirus,#covid19españa [681] españa,coronavirus [680] literalmente,toda Top Word Pairs in Tweet in G1:
[1470] merecemos,pasa [1470] pasa,#covid19espana [7] #coronavirusmadrid,#covid19espana [7] #covid19espana,#coronavirusespana [4] cierran,universidades [4] universidades,estadios [4] estadios,empresas [4] empresas,etc [4] etc,pensando [4] pensando,prevenir Top Word Pairs in Tweet in G2:
[171] #coronavirusespana,#covid19espana [153] #coronavirusmadrid,#covid19espana [129] #covid2019,#covid19espana [115] ortega,smith [99] #covid19espana,#covid2019 [87] #covid19espana,#coronavirusmadrid [82] #coronavirusmadrid,#coronavirusespana [80] #covid19espana,#coronavirusespana [59] #coronavirusespana,#coronavirusmadrid [48] #coronavirusmadrid,#covid2019 Top Word Pairs in Tweet in G3:
[419] #covid19espana,#cmin [195] #covid19espana,#coronavirusespana [183] paquete,medidas [181] frente,#coronavirus [181] medidas,adicionales [152] vuelos,italia [151] hacer,frente [149] hoy,#cmin [148] ministro,sanidadgob [148] salvador,illa Top Word Pairs in Tweet in G4:
[114] toda,españa [111] ver,lugar [111] lugar,30 [111] 30,personas [111] personas,muere [111] muere,alguna [111] alguna,mascota [111] mascota,sexta [111] sexta,pide [111] pide,fin Top Word Pairs in Tweet in G5:
[319] #coronavirusmadrid,#covid19espana [295] sanidad,pública [243] sabeis,quien [243] quien,dejó [243] dejó,sanidad [243] pública,madrileña [243] madrileña,uvi [243] uvi,reduciendo [243] reduciendo,casi [243] casi,mitad Top Word Pairs in Tweet in G6:
[152] ortega,smith [128] fan,total [128] total,abuelas [128] abuelas,meten [128] meten,carrito [128] carrito,compra [128] compra,carro [128] carro,mercadona [128] mercadona,perder [128] perder,jajajajaja Top Word Pairs in Tweet in G7:
[627] toda,españa [626] literalmente,toda [626] españa,coronavirus [626] coronavirus,#covid19españa [10] merecemos,pasa [10] pasa,#covid19espana [8] #coronavirusmadrid,#covid19espana [7] fan,total [7] total,abuelas [7] abuelas,meten Top Word Pairs in Tweet in G8:
[110] #coronavirusmadrid,#covid19espana [108] #directo,#covid19espana [95] #covid19espana,#covid2019 [61] prevenir,#covid19espana [61] #covid19espana,lávate [61] lávate,manos [61] manos,frecuencia [61] frecuencia,ir [61] ir,baño [61] baño,antes Top Word Pairs in Tweet in G9:
[262] #coronavirusmadrid,#covid19espana [242] #covid19espana,#coronavirusfacts [111] comunidad,madrid [109] madrid,comunicado [109] comunicado,clases [109] clases,suspendidas [109] serán,recuperadas [109] recuperadas,verano [107] #coronavirusfacts,#coronavirusmadrid [100] suspendidas,coronavirus Top Word Pairs in Tweet in G10:
[239] 000,ancianos [188] #ribó,reúne [188] reúne,#valencia [188] #valencia,000 [188] ancianos,macropaella [188] macropaella,plena [188] plena,crisis [188] crisis,coronavirus [188] coronavirus,#covid19espana [64] #coronavirusmadrid,#covid19espana Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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 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: