The graph represents a network of 12,255 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, 13 January 2021 at 08:50 UTC.
The requested start date was Wednesday, 13 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 2-day, 0-hour, 1-minute period from Sunday, 10 January 2021 at 13:45 UTC to Tuesday, 12 January 2021 at 13:47 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 : 12255
Unique Edges : 7556
Edges With Duplicates : 11789
Total Edges : 19345
Number of Edge Types : 5
Tweet : 3562
Retweet : 5273
MentionsInRetweet : 6576
Replies to : 1015
Mentions : 2919
Self-Loops : 3600
Reciprocated Vertex Pair Ratio : 0.00569858552966317
Reciprocated Edge Ratio : 0.0113325913184256
Connected Components : 4010
Single-Vertex Connected Components : 1102
Maximum Vertices in a Connected Component : 964
Maximum Edges in a Connected Component : 2146
Maximum Geodesic Distance (Diameter) : 36
Average Geodesic Distance : 10.110863
Graph Density : 6.58108657115401E-05
Modularity : 0.584998
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 12,255 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, 13 January 2021 at 08:50 UTC.
The requested start date was Wednesday, 13 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 2-day, 0-hour, 1-minute period from Sunday, 10 January 2021 at 13:45 UTC to Tuesday, 12 January 2021 at 13:47 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:
[3443] covid,19 [461] contra,covid [259] positive,covid [197] 19,vaccine [190] batalla,contra [180] etiqueta,día [179] dando,batalla [168] locked,down [167] being,locked [165] result,being Top Word Pairs in Tweet in G1:
[438] covid,19 [22] contra,covid [21] casos,covid [19] covid,vaccine [17] 19,vaccine [12] covid,test [11] covid,cases [11] #covid,19 [10] teste,covid [9] 19,cases Top Word Pairs in Tweet in G2:
[421] covid,19 [234] contra,covid [162] batalla,contra [154] dando,batalla [146] etiqueta,día [135] continúa,dando [134] venezuela,continúa [125] #flexibilizaciónsegura,venezuela [110] día,#flexibilizaciónsegura [91] #11ene,etiqueta Top Word Pairs in Tweet in G3:
[164] being,locked [164] locked,down [162] result,being [157] covid,19 [152] positive,covid [146] received,positive [146] 19,test [146] test,result [146] down,secured [146] secured,room Top Word Pairs in Tweet in G4:
[38] covid,19 [10] million,people [8] breaking,million [8] people,uk [8] uk,received [8] received,covid [8] covid,vaccination [8] vaccination,great [8] great,news [8] news,govt Top Word Pairs in Tweet in G5:
[50] covid,19 [21] 19,vaccine [18] meeting,cms [17] pm,shri [16] closing,remarks [16] remarks,meeting [15] cms,roll [15] roll,covid [12] fight,against [11] pm,narendramodi Top Word Pairs in Tweet in G6:
[45] covid,19 [14] pope,francis' [14] francis',personal [14] personal,doctor [14] doctor,fabrizio [14] fabrizio,soccorsi [14] soccorsi,died [14] died,result [14] result,complications [14] complications,due Top Word Pairs in Tweet in G7:
[28] covid,19 [12] 19,vaccine [10] folks,received [10] received,second [10] second,dose [10] dose,covid [10] vaccine,first [10] first,dose [10] dose,safe [10] safe,quick Top Word Pairs in Tweet in G8:
[19] covid,19 [8] nueva,cepa [8] cepa,covid [6] méxico,nueva [5] contra,covid [5] detectó,primer [5] primer,caso [5] caso,méxico [5] covid,extranjero [5] extranjero,hlgatell Top Word Pairs in Tweet in G9:
[71] tips,icu [71] icu,nurse [71] nurse,treat [71] treat,mild [71] mild,covid [71] covid,home [71] home,thread [70] bassbarbie182,tips Top Word Pairs in Tweet in G10:
[5] roll,24 [4] uk,roll [4] 24,covid [4] covid,vaccination [4] vaccination,ian [4] ian,country [4] country,back [4] back,economy [4] economy,back [4] back,vaccinating Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G4:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: