The graph represents a network of 8,383 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 24 March 2022 at 10:49 UTC.
The requested start date was Thursday, 24 March 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, 39-minute period from Monday, 21 March 2022 at 11:46 UTC to Wednesday, 23 March 2022 at 12:25 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 : 8383
Unique Edges : 3991
Edges With Duplicates : 11358
Total Edges : 15349
Number of Edge Types : 5
Retweet : 5010
MentionsInRetweet : 5628
Replies to : 477
Tweet : 2849
Mentions : 1385
Self-Loops : 2971
Reciprocated Vertex Pair Ratio : 0.00483304042179262
Reciprocated Edge Ratio : 0.00961958898119808
Connected Components : 2367
Single-Vertex Connected Components : 1163
Maximum Vertices in a Connected Component : 1159
Maximum Edges in a Connected Component : 2622
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 7.025462
Graph Density : 9.76428161742272E-05
Modularity : 0.509199
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,383 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 24 March 2022 at 10:49 UTC.
The requested start date was Thursday, 24 March 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, 39-minute period from Monday, 21 March 2022 at 11:46 UTC to Wednesday, 23 March 2022 at 12:25 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 : Coronavirus
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:
[1056] covid,19 [294] datos,coronavirus [292] partir,lunes [290] lunes,tendremos [290] tendremos,datos [290] coronavirus,españa [290] españa,habrá [290] habrá,notificar [290] notificar,positivos [289] enfrmrasaturada,partir Top Word Pairs in Tweet in G1:
[188] covid,19 [35] #covid19,#coronavirus [32] coronavirus,vaccine [30] #coronavirus,#covid19 [30] young,children [25] coronavirus,pandemic [24] nuovi,casi [21] moderna,coronavirus [21] vaccine,young [21] children,safe Top Word Pairs in Tweet in G2:
[290] partir,lunes [290] lunes,tendremos [290] tendremos,datos [290] datos,coronavirus [290] coronavirus,españa [290] españa,habrá [290] habrá,notificar [290] notificar,positivos [289] enfrmrasaturada,partir Top Word Pairs in Tweet in G3:
[86] coronavirus,vaccine [63] covid,19 [61] biden,administration [61] administration,lacks [61] lacks,funds [61] funds,purchase [61] purchase,potential [61] potential,fourth [61] fourth,coronavirus [61] vaccine,dose Top Word Pairs in Tweet in G4:
[83] spanien,behandelt [83] behandelt,corona [83] corona,normale [83] normale,krankheit [83] krankheit,positiven [83] positiven,test [83] test,niemand [83] niemand,mehr [83] mehr,hause [83] hause,bleiben Top Word Pairs in Tweet in G5:
[144] flash,plusieurs [144] plusieurs,pays [144] pays,européens [144] européens,ont [144] ont,levé [144] levé,trop [144] trop,brutalement [144] brutalement,leurs [144] leurs,mesures [144] mesures,anti Top Word Pairs in Tweet in G6:
[39] despite,being [39] being,led [39] led,believe [39] believe,coronavirus [39] coronavirus,still [39] still,threat [37] covid,19 [31] closing,eyes [31] eyes,covid [31] covid,won Top Word Pairs in Tweet in G7:
[107] coronavirus,cases [107] last,week [71] uk,reports [71] reports,226 [71] 226,524 [71] 524,coronavirus [71] cases,day [71] day,period [71] period,32 [71] 32,last Top Word Pairs in Tweet in G8:
[53] coronavirus,act [30] scrap,coronavirus [29] during,pandemic [29] pandemic,740 [29] 740,000 [29] 000,potential [29] potential,cancer [29] cancer,cases [29] cases,missed [29] missed,over Top Word Pairs in Tweet in G9:
[89] coronavirus,vaccine [83] news,moderna [72] breaking,news [72] moderna,seek [72] seek,emergency [72] emergency,authorization [72] authorization,coronavirus [72] vaccine,children [72] children,younger [72] younger,company Top Word Pairs in Tweet in G10:
[54] macron,maire [54] maire,foutent [54] foutent,monde [54] monde,france [54] france,info [54] info,avaient [54] avaient,sorti [54] sorti,article [54] article,début [54] début,2021 Top Replied-To in Entire Graph:
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 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: