The graph represents a network of 10,898 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 Saturday, 12 December 2020 at 08:26 UTC.
The requested start date was Saturday, 12 December 2020 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 2-day, 0-hour, 2-minute period from Wednesday, 09 December 2020 at 13:42 UTC to Friday, 11 December 2020 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 : 10898
Unique Edges : 6110
Edges With Duplicates : 11009
Total Edges : 17119
Number of Edge Types : 5
Tweet : 3714
Retweet : 4996
MentionsInRetweet : 5761
Mentions : 2171
Replies to : 477
Self-Loops : 3756
Reciprocated Vertex Pair Ratio : 0.00694186190653279
Reciprocated Edge Ratio : 0.0137880093561492
Connected Components : 3696
Single-Vertex Connected Components : 1421
Maximum Vertices in a Connected Component : 1746
Maximum Edges in a Connected Component : 3653
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 10.072092
Graph Density : 6.84010390221402E-05
Modularity : 0.559525
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 10,898 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 Saturday, 12 December 2020 at 08:26 UTC.
The requested start date was Saturday, 12 December 2020 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 2-day, 0-hour, 2-minute period from Wednesday, 09 December 2020 at 13:42 UTC to Friday, 11 December 2020 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:
[6911] covid,19 [668] 19,vaccine [335] contra,covid [285] numbers,covid [283] 19,changed [281] stop,comparing [281] comparing,#swineflu [281] #swineflu,numbers [281] changed,requirements [281] requirements,coronavirus Top Word Pairs in Tweet in G1:
[1194] covid,19 [131] 19,vaccine [53] contra,covid [33] 19,cases [31] 19,pandemic [28] during,covid [26] 19,vaccines [23] pfizer,covid [21] positive,covid [19] #covid,19 Top Word Pairs in Tweet in G2:
[302] covid,19 [281] stop,comparing [281] comparing,#swineflu [281] #swineflu,numbers [281] numbers,covid [281] 19,changed [281] changed,requirements [281] requirements,coronavirus [281] coronavirus,allows [281] allows,mortem Top Word Pairs in Tweet in G3:
[108] covid,19 [14] died,covid [13] over,15 [13] 15,000 [11] people,died [11] 000,deaths [11] 000,cases [11] more,000 [10] americans,died [10] country,world Top Word Pairs in Tweet in G4:
[103] covid,19 [38] mitch,mcconnell [36] rudy,giuliani [34] prioritize,workers [34] workers,large [34] large,corporations [34] corporations,mitch [34] mcconnell,fighting [34] fighting,tooth [34] tooth,nail Top Word Pairs in Tweet in G5:
[52] airborne,transmission [52] transmission,look [52] look,south [52] south,korean [52] korean,high [52] high,school [52] school,student [52] student,became [52] became,infected [52] infected,minutes Top Word Pairs in Tweet in G6:
[72] covid,19 [41] south,korean [30] korean,study [28] latimes,south [21] six,feet [20] study,raises [20] raises,concerns [20] concerns,six [20] feet,social [20] social,distance Top Word Pairs in Tweet in G7:
[140] covid,19 [57] contra,covid [35] vacuna,pfizer [30] mueren,personas [30] pfizer,biontech [30] biontech,contra [21] 19,lea [19] eeuu,mueren [19] personas,tras [19] tras,recibir Top Word Pairs in Tweet in G8:
[53] covid,19 [31] vaccines,india [31] india,currently [31] currently,attract [31] attract,gst [31] gst,rate [31] rate,finance [31] finance,minister [31] minister,nsitharaman [31] nsitharaman,quick Top Word Pairs in Tweet in G9:
[63] covid,19 [31] finding,hard [31] hard,hold [31] hold,rage [31] rage,anguish [31] anguish,together [31] together,watching [31] watching,lack [31] lack,action [31] action,federal Top Word Pairs in Tweet in G10:
[45] covid,19 [15] colaboración,responsabilidad [15] responsabilidad,tod [15] tod,podemos [15] podemos,parar [15] parar,cadena [15] cadena,contagios [15] contagios,urgente [15] urgente,alerta [15] alerta,covid 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 G4:
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: