The graph represents a network of 8,538 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 Thursday, 22 December 2022 at 08:15 UTC.
The requested start date was Thursday, 22 December 2022 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, 15-minute period from Monday, 19 December 2022 at 12:01 UTC to Wednesday, 21 December 2022 at 12:17 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 : 8538
Unique Edges : 3902
Edges With Duplicates : 12289
Total Edges : 16191
Number of Edge Types : 5
Retweet : 5570
MentionsInRetweet : 6228
Tweet : 2643
Replies to : 529
Mentions : 1221
Self-Loops : 2718
Reciprocated Vertex Pair Ratio : 0.0047739399045212
Reciprocated Edge Ratio : 0.00950251537171604
Connected Components : 2291
Single-Vertex Connected Components : 950
Maximum Vertices in a Connected Component : 2588
Maximum Edges in a Connected Component : 6824
Maximum Geodesic Distance (Diameter) : 34
Average Geodesic Distance : 14.034202
Graph Density : 9.81768062206888E-05
Modularity : 0.498241
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,538 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 Thursday, 22 December 2022 at 08:15 UTC.
The requested start date was Thursday, 22 December 2022 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, 15-minute period from Monday, 19 December 2022 at 12:01 UTC to Wednesday, 21 December 2022 at 12:17 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:
[5695] covid,19 [445] contra,covid [248] 19,vaccine [236] linked,blood [236] vaccine,linked [235] blood,clotting [205] 24,horas [191] últimas,24 [188] 19,mejor [188] contact,tracing Top Word Pairs in Tweet in G1:
[851] covid,19 [58] 19,cases [43] crematoriums,'packed' [43] 'packed',covid [43] china's,crematoriums [43] cases,soar [30] 19,vaccine [25] 19,pandemic [23] #covid,19 [23] contra,covid Top Word Pairs in Tweet in G2:
[806] covid,19 [181] contra,covid [179] últimas,24 [177] 24,horas [174] virus,deteriora [174] enfermedad,causada [174] 19,enfermedad [174] importante,saber [174] causada,virus [174] nuestro,sistema Top Word Pairs in Tweet in G3:
[89] we've,lied [82] covid,19 [72] dr,peter [72] peter,mccullough [70] discourse,dr [70] john,leake [70] mccullough,john [70] courageous,discourse [68] p_mcculloughmd,courageous [57] impossible,unvaccinated Top Word Pairs in Tweet in G4:
[176] covid,19 [167] linked,blood [167] vaccine,linked [167] blood,clotting [165] clotting,right [165] admitted,covid [165] experimental,vaccine [165] breaking,fda [165] 19,experimental [165] fda,admitted Top Word Pairs in Tweet in G5:
[139] covid,19 [113] dr,derek [113] knauss,tested [113] tested,1500 [113] positive,covid [113] clients,each [113] positive,clients [113] 1500,positive [113] each,everyone [113] everyone,influenza Top Word Pairs in Tweet in G6:
[63] covid,19 [15] covid,deaths [12] hong,kong [10] स,थ [10] three,years [10] 19,cases [8] china,covid [8] first,covid [7] read,more [7] क,द Top Word Pairs in Tweet in G7:
[38] personnes,ayant [36] #sang,provenant [36] croissant,personnes [36] provenant,personnes [36] besoin,#transfusionssanguines [36] #transfusionssanguines,demandent [36] demandent,#sang [36] nombre,croissant [36] ayant,besoin [34] personnes,ay Top Word Pairs in Tweet in G8:
[81] covid,19 [32] breaking,report [31] media,trying [31] breaking,media [31] affairs,health [31] trying,hide [31] exton,director [31] parliamentary,affairs [31] hide,adam [31] adam,exton Top Word Pairs in Tweet in G9:
[39] geschwächt,neue [39] immunsystem,covid [39] #covid19,vielen [39] covid,ernsthaft [39] neue,forschungsergebnisse [39] ernsthaft,geschwächt [39] zeigen,#covid19 [39] forschungsergebnisse,zeigen [39] vielen,menschen [38] rwittenbrink,immunsystem Top Word Pairs in Tweet in G10:
[116] covid,19 [99] journalist,swati [99] months,ago [99] few,months [99] china,covid [99] ago,admirer [99] swati,chaturvedi [99] telling,few [99] chaturvedi,still [99] admirer,china Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: