The graph represents a network of 10,746 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 19 January 2021 at 08:21 UTC.
The requested start date was Tuesday, 19 January 2021 at 01:01 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 3-day, 0-hour, 2-minute period from Friday, 15 January 2021 at 13:42 UTC to Monday, 18 January 2021 at 13:45 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 : 10746
Unique Edges : 5981
Edges With Duplicates : 12692
Total Edges : 18673
Number of Edge Types : 5
Mentions : 2261
Tweet : 3543
Retweet : 5724
MentionsInRetweet : 6750
Replies to : 395
Self-Loops : 3595
Reciprocated Vertex Pair Ratio : 0.00473773265651438
Reciprocated Edge Ratio : 0.00943078477601886
Connected Components : 3292
Single-Vertex Connected Components : 983
Maximum Vertices in a Connected Component : 654
Maximum Edges in a Connected Component : 2327
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.17517
Graph Density : 7.71397445320808E-05
Modularity : 0.547004
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 10,746 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 19 January 2021 at 08:21 UTC.
The requested start date was Tuesday, 19 January 2021 at 01:01 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 3-day, 0-hour, 2-minute period from Friday, 15 January 2021 at 13:42 UTC to Monday, 18 January 2021 at 13:45 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-19
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:
[6947] covid,19 [661] contra,covid [391] 19,vaccine [280] decidida,cuidarse [278] venezuela,decidida [269] cuidarse,#18ene [253] #cuarentenaconsciente,venezuela [225] día,#cuarentenaconsciente [221] etiqueta,día [204] #18ene,etiqueta Top Word Pairs in Tweet in G1:
[858] covid,19 [55] contra,covid [40] 19,vaccine [24] enero,2021 [23] sábado,16 [23] 16,enero [22] 19,sábado [20] países,320 [20] 320,días [20] días,covid Top Word Pairs in Tweet in G2:
[538] covid,19 [265] decidida,cuidarse [263] venezuela,decidida [254] cuidarse,#18ene [240] #cuarentenaconsciente,venezuela [219] día,#cuarentenaconsciente [215] etiqueta,día [198] #18ene,etiqueta [155] #18ene,#24ene [139] cuarentena,radical Top Word Pairs in Tweet in G3:
[133] covid,19 [83] entering,plane [83] plane,january [83] january,26 [83] 26,need [83] need,show [83] show,tested [83] tested,negative [83] negative,covid [82] drdavidsamadi,entering Top Word Pairs in Tweet in G4:
[79] covid,19 [20] 19,vaccination [14] pm,narendramodi [14] क,र [11] #agerelaxation_airforcexy,#agerelaxation_airforcexy [10] age,relaxation [8] exams,sir [7] last,chance [7] india's,ready [7] ready,prove Top Word Pairs in Tweet in G5:
[94] covid,19 [34] tratamento,precoce [26] contra,covid [18] contra,twitterbrasil [17] hora,advocaciageral [17] advocaciageral,tomar [17] tomar,providências [17] providências,judiciais [17] judiciais,contra [17] twitterbrasil,contrapondo Top Word Pairs in Tweet in G6:
[56] covid,19 [14] armero,20 [14] 20,mil [14] mil,muertos [14] muertos,covid [14] 19,47 [14] 47,868 [14] 868,muertos [14] muertos,factor [14] factor,común Top Word Pairs in Tweet in G7:
[86] covid,19 [44] contra,covid [17] norberto,rivera [17] vacunada,contra [14] regidora,morena [14] morena,acapulco [13] cómo,ven [12] brincó,fila [12] fila,ex [12] ex,diputado Top Word Pairs in Tweet in G8:
[86] science,behind [74] covid,19 [49] president,elect [43] behind,climate [43] climate,change [43] change,hoax [43] hoax,science [43] behind,covid [43] 19,partisan [43] partisan,president Top Word Pairs in Tweet in G9:
[40] contra,#covid_19 [39] adultos,mayores [36] proceso,vacunación [36] vacunación,contra [36] #covid_19,adultos [32] covid,19 [23] expertos,reino [23] reino,unido [23] unido,identificaron [23] identificaron,medicinas Top Word Pairs in Tweet in G10:
[68] covid,19 [54] positif,covid [46] indonesia,positif [46] 19,sedang [46] sedang,antre [46] antre,igd [46] igd,sesak [46] sesak,demam [46] demam,pusing [46] pusing,batuk 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 G7:
Top Replied-To in G8:
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: