The graph represents a network of 11,113 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 Friday, 26 August 2022 at 07:55 UTC.
The requested start date was Friday, 26 August 2022 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, 3-minute period from Tuesday, 23 August 2022 at 12:15 UTC to Thursday, 25 August 2022 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 : 11113
Unique Edges : 6135
Edges With Duplicates : 12007
Total Edges : 18142
Number of Edge Types : 5
Retweet : 5391
MentionsInRetweet : 6291
Tweet : 2446
Replies to : 1380
Mentions : 2634
Self-Loops : 2485
Reciprocated Vertex Pair Ratio : 0.00518995225243928
Reciprocated Edge Ratio : 0.0103263114415531
Connected Components : 2651
Single-Vertex Connected Components : 701
Maximum Vertices in a Connected Component : 2411
Maximum Edges in a Connected Component : 4786
Maximum Geodesic Distance (Diameter) : 44
Average Geodesic Distance : 13.390789
Graph Density : 7.84207937350434E-05
Modularity : 0.583686
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 11,113 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 Friday, 26 August 2022 at 07:55 UTC.
The requested start date was Friday, 26 August 2022 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, 3-minute period from Tuesday, 23 August 2022 at 12:15 UTC to Thursday, 25 August 2022 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:
[1643] covid,19 [523] rebekah,jones [466] desantis,fired [460] jones,covid [458] covid,scientist [384] fired,exposing [370] ron,desantis [343] occupydemocrats,breaking [283] true,numbers [282] exposing,hiding Top Word Pairs in Tweet in G1:
[187] covid,19 [19] during,covid [13] contra,covid [11] leggi,più [11] più,#casaitaliaradio [11] #casaitaliaradio,#webradio [11] #webradio,#radio [11] #radio,#casa [11] #casa,#home [11] #home,#design Top Word Pairs in Tweet in G2:
[449] rebekah,jones [442] jones,covid [442] covid,scientist [442] desantis,fired [370] fired,exposing [353] ron,desantis [340] occupydemocrats,breaking [279] exposing,hiding [279] hiding,true [279] true,numbers Top Word Pairs in Tweet in G3:
[202] covid,19 [66] contra,covid [40] lucha,contra [35] 19,venezuela [32] 99,nuevos [31] venezuela,registra [31] nuevos,casos [26] covid,juego [25] #22ago,etiqueta [25] etiqueta,día Top Word Pairs in Tweet in G4:
[153] die,länder [153] länder,die [153] die,alle [153] alle,maßnahmen [153] maßnahmen,aufgehoben [153] aufgehoben,schlechtere [153] schlechtere,zahlen [153] zahlen,#deutschland [153] #deutschland,würde [153] würde,selbstverständlich Top Word Pairs in Tweet in G5:
[28] covid,19 [27] vaccins,covid [21] contre,covid [18] covid,milliards [14] toulouse,vaccins [14] indésirables,explosent [12] amine,umlil [11] cour,suprême [11] covid,sont [11] tests,covid Top Word Pairs in Tweet in G6:
[28] few,kids [28] kids,die [28] die,nut [28] nut,allergies [28] allergies,each [28] each,year [28] year,still [28] still,try [28] try,protect [28] protect,such Top Word Pairs in Tweet in G7:
[15] long,covid [14] 000,younger [14] younger,persons [14] persons,died [14] died,between [14] between,apr [14] apr,2021 [14] aug,2022 [14] 2022,factor [14] factor,allowed Top Word Pairs in Tweet in G8:
[56] breaking,emails [56] emails,show [56] show,mehmet [56] mehmet,oz [56] oz,touch [56] touch,senior [56] senior,levels [56] levels,trump [56] trump,white [56] white,house Top Word Pairs in Tweet in G9:
[174] manuelrico,hoy [135] días,gobierno [135] gobierno,ayuso [135] ayuso,aprobó [135] aprobó,protocolo [135] protocolo,impedía [135] impedía,trasladar [135] trasladar,hospital [135] hospital,residentes [127] residentes,vulnerab Top Word Pairs in Tweet in G10:
[31] covid,19 [21] person,tweeted [21] tweeted,vaccine [21] vaccine,stop [21] stop,getting [21] getting,covid [21] covid,needs [21] needs,account [21] account,suspended [20] darlashine,person Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: