The graph represents a network of 11,913 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 Sunday, 31 October 2021 at 08:02 UTC.
The requested start date was Sunday, 31 October 2021 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, 2-minute period from Thursday, 28 October 2021 at 12:17 UTC to Saturday, 30 October 2021 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 : 11913
Unique Edges : 6663
Edges With Duplicates : 11784
Total Edges : 18447
Number of Edge Types : 5
Retweet : 5264
MentionsInRetweet : 6096
Tweet : 3494
Replies to : 1058
Mentions : 2535
Self-Loops : 3538
Reciprocated Vertex Pair Ratio : 0.00551948051948052
Reciprocated Edge Ratio : 0.0109783661608008
Connected Components : 3622
Single-Vertex Connected Components : 1008
Maximum Vertices in a Connected Component : 994
Maximum Edges in a Connected Component : 2158
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 10.72009
Graph Density : 6.54721546524593E-05
Modularity : 0.580272
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,913 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 Sunday, 31 October 2021 at 08:02 UTC.
The requested start date was Sunday, 31 October 2021 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, 2-minute period from Thursday, 28 October 2021 at 12:17 UTC to Saturday, 30 October 2021 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:
[2306] covid,19 [250] contra,covid [212] covid,vaccine [147] 19,vaccine [125] covid,deaths [117] fully,vaccinated [114] vaccine,mandate [112] lowest,covid [109] covid,cases [99] florida,lowest Top Word Pairs in Tweet in G1:
[389] covid,19 [35] contra,covid [25] 19,vaccine [20] covid,vaccine [15] covid,cases [13] 19,pandemic [12] fully,vaccinated [12] during,covid [11] covid,deaths [10] covid,vaccines Top Word Pairs in Tweet in G2:
[32] covid,19 [10] covid,cases [6] britain,lifted [6] lifted,nearly [6] nearly,covid [6] covid,restrictions [6] restrictions,july [6] july,midst [6] midst,another [6] another,surge Top Word Pairs in Tweet in G3:
[35] covid,19 [24] lowest,covid [21] case,rate [21] fraud,phony [20] nikkifried,fraud [19] rate,country [19] vaccine,mandates [18] florida,lowest [18] 19,case [18] country,without Top Word Pairs in Tweet in G4:
[19] seize,people's [19] people's,homes [18] covid,19 [12] heartened,cnn [12] cnn,finally [12] finally,reported [12] reported,positively [12] positively,repurposed [12] repurposed,generic [12] generic,drug Top Word Pairs in Tweet in G5:
[23] zoe,covid [22] ve,email [22] email,zoe [22] covid,study [22] study,telling [22] telling,case [22] case,numbers [22] numbers,twice [22] twice,re [22] re,being Top Word Pairs in Tweet in G6:
[54] lowest,covid [53] florida,lowest [53] covid,case [53] case,rate [53] rate,united [53] united,states [53] states,without [53] without,mask [53] mask,mandates [53] mandates,vaccine Top Word Pairs in Tweet in G7:
[28] covid,19 [15] changes,everything [14] draseemmalhotra,changes [8] flu,covid [8] 19,both [8] both,life [8] life,threatening [8] threatening,spread [8] spread,more [8] more,easily Top Word Pairs in Tweet in G8:
[14] school,age [14] age,children [12] covid,19 [11] child,covid [9] covid,deaths [8] secondary,school [7] #coronavirus,#covid19 [7] #covid19,#sarscov2 [7] 11,secondary [7] children,25 Top Word Pairs in Tweet in G9:
[5] pawley_robert,alex_on_a14 [5] alex_on_a14,temple_surly [5] temple_surly,ghoppe [5] ghoppe,mdrisette [5] mdrisette,jsaholmes [5] jsaholmes,browningneelyn [4] thatsnotmine125,frugalsues [4] frugalsues,pawley_robert [3] browningneelyn,andylumm [3] andylumm,barryjohnreid21 Top Word Pairs in Tweet in G10:
[26] private,jets [25] cop26,covid [25] covid,carbon [25] carbon,super [25] super,spreader [25] spreader,event [25] event,private [25] private,air [25] air,fields [25] fields,over Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: