The graph represents a network of 10,646 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 05 October 2022 at 07:43 UTC.
The requested start date was Wednesday, 05 October 2022 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 2-day, 0-hour, 4-minute period from Sunday, 02 October 2022 at 12:15 UTC to Tuesday, 04 October 2022 at 12:19 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 : 10646
Unique Edges : 5573
Edges With Duplicates : 12066
Total Edges : 17639
Number of Edge Types : 5
Replies to : 1255
Mentions : 2015
Retweet : 5614
MentionsInRetweet : 6438
Tweet : 2317
Self-Loops : 2353
Reciprocated Vertex Pair Ratio : 0.00705524801910344
Reciprocated Edge Ratio : 0.0140116404397499
Connected Components : 2433
Single-Vertex Connected Components : 614
Maximum Vertices in a Connected Component : 1496
Maximum Edges in a Connected Component : 3213
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 9.668854
Graph Density : 8.18695193285041E-05
Modularity : 0.57133
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 10,646 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 05 October 2022 at 07:43 UTC.
The requested start date was Wednesday, 05 October 2022 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 2-day, 0-hour, 4-minute period from Sunday, 02 October 2022 at 12:15 UTC to Tuesday, 04 October 2022 at 12:19 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 : COVID
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:
[1329] covid,19 [243] eu,não [243] minha,família [227] covid,eu [227] nunca,passei [226] eu,nunca [226] passei,necessidade [224] não,perdi [224] perdi,nenhum [224] nenhum,parente Top Word Pairs in Tweet in G1:
[140] covid,19 [10] during,covid [10] mortes,covid [10] 700,mil [10] pela,covid [9] morreu,covid [9] minha,família [9] covid,test [8] eu,não [8] morreram,covid Top Word Pairs in Tweet in G2:
[215] eu,não [214] não,perdi [214] perdi,nenhum [214] nenhum,parente [214] parente,covid [214] covid,eu [214] eu,nunca [214] nunca,passei [214] passei,necessidade [214] necessidade,eu Top Word Pairs in Tweet in G3:
[257] covid,19 [89] 19,venezuela [88] venezuela,registra [63] vtvcanal8,#prevención [56] casos,comunitarios [52] pacientes,recuperados [48] registra,casos [48] comunitarios,importado [48] importado,538 [48] 538,288 Top Word Pairs in Tweet in G4:
[43] chest,pain [37] re,sudden [37] sudden,having [37] having,weird [37] weird,symptoms [37] symptoms,extreme [37] extreme,fatigue [37] fatigue,numbness [37] numbness,pain [37] pain,chest Top Word Pairs in Tweet in G5:
[168] brasil,veio [168] veio,havan [168] havan,viu [168] viu,própria [168] própria,mãe [168] mãe,morrer [168] morrer,covid [168] covid,vota [168] vota,sorrindo [168] sorrindo,responsável Top Word Pairs in Tweet in G6:
[144] minha,mãe [108] levava,lanche [107] mãe,votava [107] votava,colégio [107] colégio,em [107] em,trabalho [107] trabalho,mesario [107] mesario,ela [107] ela,levava [107] lanche,quando Top Word Pairs in Tweet in G7:
[148] nossa,bandeira [148] bandeira,jamais [148] jamais,sera [148] sera,vermelha [148] vermelha,minha [148] minha,filha [148] filha,sua [148] sua,bandeira [148] bandeira,ja [148] ja,suja Top Word Pairs in Tweet in G8:
[187] manuelrico,hoy [124] días,gobierno [124] gobierno,ayuso [124] ayuso,aprobó [124] aprobó,protocolo [124] protocolo,impedía [124] impedía,trasladar [124] trasladar,hospital [124] hospital,residentes [115] residentes,vulnerab Top Word Pairs in Tweet in G9:
[110] seniors,fl [110] fl,managed [110] managed,survive [110] survive,covid [110] covid,despite [110] despite,desantis [110] desantis,callous [110] callous,indifference [110] indifference,pandemic [109] ronfilipkowski,seniors Top Word Pairs in Tweet in G10:
[74] third,time [73] hall,neighbor [73] neighbor,died [73] died,stroke [73] stroke,last [73] last,night [73] night,covid [73] covid,three [73] three,times [73] times,third Top Replied-To in Entire Graph:
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 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 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: