The graph represents a network of 11,026 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, 11 September 2022 at 08:11 UTC.
The requested start date was Sunday, 11 September 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 3-day, 0-hour, 1-minute period from Tuesday, 06 September 2022 at 12:18 UTC to Friday, 09 September 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 : 11026
Unique Edges : 6177
Edges With Duplicates : 12314
Total Edges : 18491
Number of Edge Types : 5
Retweet : 5362
MentionsInRetweet : 6441
Tweet : 2589
Mentions : 2832
Replies to : 1267
Self-Loops : 2629
Reciprocated Vertex Pair Ratio : 0.00615480909659921
Reciprocated Edge Ratio : 0.0122343182996371
Connected Components : 2776
Single-Vertex Connected Components : 817
Maximum Vertices in a Connected Component : 1596
Maximum Edges in a Connected Component : 3508
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 9.276085
Graph Density : 7.93424570989288E-05
Modularity : 0.573691
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 11,026 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, 11 September 2022 at 08:11 UTC.
The requested start date was Sunday, 11 September 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 3-day, 0-hour, 1-minute period from Tuesday, 06 September 2022 at 12:18 UTC to Friday, 09 September 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:
[1494] covid,19 [857] ˆà,ˆà [684] î,î [603] ˆà,ªà [508] ãƒ,ム[471] µà,ˆà [456] ˆà,µà [439] µà,šà [432] šà,µà [325] long,covid Top Word Pairs in Tweet in G1:
[210] covid,19 [52] î,î [29] ãƒ,ム[28] žleggi,piã [28] piã,#casaitaliaradio [28] #casaitaliaradio,#webradio [28] #webradio,#radio [28] #radio,#casa [28] #casa,#home [28] #home,#design Top Word Pairs in Tweet in G2:
[231] covid,19 [99] #prevenciã,nðÿ [77] vtvcanal8,#prevenciã [60] control,covid [58] nðÿ,control [58] 19,contenciã [58] contenciã,mitigaciã [58] mitigaciã,primera [58] primera,controla [58] controla,contagio Top Word Pairs in Tweet in G3:
[34] long,covid [17] long,term [17] term,impacts [14] wow,entire [14] entire,thread [14] thread,completely [14] completely,ignores [14] ignores,evidence [14] evidence,long [14] covid,including Top Word Pairs in Tweet in G4:
[791] ˆà,ˆà [593] ˆà,ªà [412] ˆà,µà [411] µà,ˆà [389] µà,šà [388] šà,µà [205] žà,ˆà [202] mirai_neko39,ˆà [196] šà,žà [195] µà,ƒà Top Word Pairs in Tweet in G5:
[171] manuelrico,hoy [131] dã,gobierno [131] gobierno,ayuso [131] ayuso,aprobã [131] aprobã,protocolo [131] protocolo,impedã [131] impedã,trasladar [131] trasladar,hospital [129] hospital,residentes [129] residentes,mã Top Word Pairs in Tweet in G6:
[22] wearing,mask [17] ontario,covid [17] died,covid [15] last,year [15] 16,ontario [15] ontario,kids [15] kids,under [15] under,12 [15] 12,died [15] covid,during Top Word Pairs in Tweet in G7:
[48] everything,paid [48] paid,backâ [48] backâ,except [48] except,billions [48] billions,lost [48] lost,covid [48] covid,fraud [48] fraud,wasted [48] wasted,corrupt [48] corrupt,crony Top Word Pairs in Tweet in G8:
[23] long,covid [17] covid,deaths [16] first,days [14] reported,4k [14] 4k,covid [14] deaths,first [14] days,month [14] covid,19 [14] walkerbragman,reported [11] research,initiative Top Word Pairs in Tweet in G9:
[55] breaking,children [55] children,uk [55] uk,aged [55] aged,11 [55] 11,longer [55] longer,offered [55] offered,covid [55] covid,jabs [55] jabs,jab [55] jab,banned Top Word Pairs in Tweet in G10:
[132] luto,oficial [130] caralho,dias [130] dias,luto [130] oficial,pela [130] pela,morte [130] morte,rainha [130] rainha,elizabeth [130] elizabeth,imagina [130] imagina,brasil [130] brasil,tivesse Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: