The graph represents a network of 11,967 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 Saturday, 27 February 2021 at 08:38 UTC.
The requested start date was Saturday, 27 February 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 Wednesday, 24 February 2021 at 13:46 UTC to Friday, 26 February 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 : 11967
Unique Edges : 6958
Edges With Duplicates : 11041
Total Edges : 17999
Number of Edge Types : 5
MentionsInRetweet : 5957
Retweet : 5082
Mentions : 2384
Tweet : 3669
Replies to : 907
Self-Loops : 3702
Reciprocated Vertex Pair Ratio : 0.00628648405927256
Reciprocated Edge Ratio : 0.0124944221329764
Connected Components : 4023
Single-Vertex Connected Components : 1238
Maximum Vertices in a Connected Component : 1310
Maximum Edges in a Connected Component : 2566
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 10.777587
Graph Density : 6.2599023463614E-05
Modularity : 0.582747
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 11,967 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 Saturday, 27 February 2021 at 08:38 UTC.
The requested start date was Saturday, 27 February 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 Wednesday, 24 February 2021 at 13:46 UTC to Friday, 26 February 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:
[3133] covid,19 [457] covid,relief [356] contra,covid [335] 19,vaccine [277] covid,vaccine [205] relief,bill [135] johnson,johnson [109] percent,trillion [108] trillion,go [107] donaldjtrumpjr,covid Top Word Pairs in Tweet in G1:
[515] covid,19 [62] 19,vaccine [50] contra,covid [36] covid,vaccine [17] covid,relief [16] 19,vaccines [16] johnson,johnson [16] 19,pandemic [15] relief,bill [13] 19,vaccination Top Word Pairs in Tweet in G2:
[100] covid,19 [37] covid,relief [24] johnson,johnson [22] against,severe [20] breaking,news [20] news,johnson [20] johnson,vaccine [20] vaccine,strongly [20] strongly,protects [20] protects,against Top Word Pairs in Tweet in G3:
[54] covid,19 [11] world's,richest [11] richest,temple [11] temple,faces [11] faces,financial [11] financial,crunches [11] crunches,losing [11] losing,thousands [11] thousands,crores [11] crores,due Top Word Pairs in Tweet in G4:
[228] covid,relief [118] relief,bill [108] percent,trillion [108] trillion,go [107] donaldjtrumpjr,covid [106] bill,few [106] few,percent [106] go,covid [106] relief,call [14] gave,cash Top Word Pairs in Tweet in G5:
[21] outrageous,taxpayers' [21] taxpayers',money [21] money,given [21] given,serco's [21] serco's,shareholders [21] shareholders,dividends [21] dividends,government [20] keir_starmer,outrageous [20] government,plac [15] covid,death Top Word Pairs in Tweet in G6:
[129] covid,19 [40] contra,covid [25] lucha,contra [24] 19,venezuela [24] venezuela,registra [18] suma,129 [15] registrado,139 [15] 139,casos [15] casos,positivos [14] casos,contagio Top Word Pairs in Tweet in G7:
[30] covid,relief [30] covid,19 [19] dear,democrats [19] democrats,stop [19] stop,calling [19] calling,covid [19] relief,plan [19] plan,better [19] better,name [19] name,pelosi Top Word Pairs in Tweet in G8:
[9] flash,covid [9] covid,large [9] large,majorité [9] majorité,français [9] français,favorable [9] favorable,confinement [9] confinement,anne [9] anne,hidalgo [9] hidalgo,trois [9] trois,semaines Top Word Pairs in Tweet in G9:
[35] covid,19 [13] alto,uso [13] uso,dexametasona [13] dexametasona,pacientes [13] pacientes,covid [13] covid,reciben [13] reciben,oxígeno [13] oxígeno,mejoran [13] mejoran,empeoran [13] empeoran,recovery Top Word Pairs in Tweet in G10:
[24] covid,19 [22] contra,covid [14] adultos,mayores [12] largas,filas [12] filas,adultos [10] vacunación,#covid_19 [10] vacunas,contra [9] #loúltimo,largas [9] mayores,chapinero [9] chapinero,bogotá Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
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 G9:
Top Tweeters in G10: