The graph represents a network of 10,378 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 Wednesday, 15 December 2021 at 08:28 UTC.
The requested start date was Wednesday, 15 December 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, 9-minute period from Sunday, 12 December 2021 at 12:08 UTC to Tuesday, 14 December 2021 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 : 10378
Unique Edges : 5478
Edges With Duplicates : 11680
Total Edges : 17158
Number of Edge Types : 5
Retweet : 5267
MentionsInRetweet : 5925
Replies to : 467
Mentions : 2001
Tweet : 3498
Self-Loops : 3558
Reciprocated Vertex Pair Ratio : 0.00613420130195293
Reciprocated Edge Ratio : 0.0121936045788229
Connected Components : 3209
Single-Vertex Connected Components : 1203
Maximum Vertices in a Connected Component : 1414
Maximum Edges in a Connected Component : 3039
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 10.994389
Graph Density : 7.46291482900398E-05
Modularity : 0.547339
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,378 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 Wednesday, 15 December 2021 at 08:28 UTC.
The requested start date was Wednesday, 15 December 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, 9-minute period from Sunday, 12 December 2021 at 12:08 UTC to Tuesday, 14 December 2021 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:
[6783] covid,19 [328] contra,covid [258] positive,covid [243] omicron,variant [215] 19,vaccine [213] leadership,management [210] 19,vaccination [198] 19,pill [187] 19,pandemic [168] 800,000 Top Word Pairs in Tweet in G1:
[1035] covid,19 [122] leadership,management [73] during,pandemic [71] 19,pandemic [71] award,kiit [71] kiit,come [71] come,rescue [71] rescue,needy [71] needy,during [71] pandemic,#theawardsasia Top Word Pairs in Tweet in G2:
[254] covid,19 [88] 19,pill [72] against,omicron [66] omicron,variant [65] effective,against [65] experimental,covid [63] pfizer,experimental [63] pill,appears [63] appears,effective [63] variant,company Top Word Pairs in Tweet in G3:
[152] covid,19 [122] 800,000 [105] died,covid [102] more,800 [101] 000,americans [101] americans,died [101] 19,total [101] total,larger [101] larger,population [101] population,boston Top Word Pairs in Tweet in G4:
[131] covid,19 [61] contra,covid [26] vacunación,contra [25] lucha,contra [24] 19,venezuela [22] venezuela,registra [22] nuevos,contagios [22] contagios,comunitarios [22] mantiene,tasa [22] calendario,vacunación Top Word Pairs in Tweet in G5:
[44] covid,19 [29] enfant,devenu [29] devenu,presque [29] presque,aveugle [28] aveugle,après [27] après,administration [25] alerte,pharmacovigilance [25] pharmacovigilance,enfant [24] ctiap_cholet,alerte [23] administration,vaccin Top Word Pairs in Tweet in G6:
[33] covid,19 [11] hallo,zusammen [11] zusammen,folgende [11] folgende,schreiben [11] schreiben,kassenärztlichen [11] kassenärztlichen,bundesvereinigung [11] bundesvereinigung,geht [11] geht,raus [11] raus,netz [11] netz,bitte Top Word Pairs in Tweet in G7:
[61] covid,19 [25] fois,plus [21] japon,risque [21] risque,mortalité [21] mortalité,lié [21] lié,vaccination [21] vaccination,chez [21] chez,personnes [21] personnes,âgées [21] âgées,20 Top Word Pairs in Tweet in G8:
[110] covid,19 [65] positive,covid [43] yoo,jae [42] jae,suk [36] tests,positive [35] diagnosed,covid [32] #kep1er's,#xiaoting [32] #xiaoting,#mashiro [32] #mashiro,diagnosed [31] soompi,#kep1er's Top Word Pairs in Tweet in G9:
[2] pawley_robert,tierrahenson [2] tierrahenson,lwsmith15 [2] lwsmith15,rtheatheist [2] rtheatheist,chrisjohnsonmd [2] chrisjohnsonmd,jt375043170 [2] jt375043170,andylumm [2] andylumm,jsaholmes [2] jsaholmes,jcdeardeuff [2] jcdeardeuff,calian23 Top Word Pairs in Tweet in G10:
[39] covid,19 [34] mandates,ease [34] ease,labor [34] labor,shortages [33] hospitals,drop [33] drop,covid [33] covid,vax [33] vax,mandates [33] shortages,don [33] don,think 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: