The graph represents a network of 10,913 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 Monday, 22 August 2022 at 08:42 UTC.
The requested start date was Monday, 22 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 3-day, 0-hour, 3-minute period from Thursday, 18 August 2022 at 12:16 UTC to Sunday, 21 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 : 10913
Unique Edges : 6371
Edges With Duplicates : 11859
Total Edges : 18230
Number of Edge Types : 5
Retweet : 5402
MentionsInRetweet : 6525
Tweet : 2669
Replies to : 1310
Mentions : 2324
Self-Loops : 2713
Reciprocated Vertex Pair Ratio : 0.00498442367601246
Reciprocated Edge Ratio : 0.00991940483570986
Connected Components : 2704
Single-Vertex Connected Components : 742
Maximum Vertices in a Connected Component : 2105
Maximum Edges in a Connected Component : 4400
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 11.563037
Graph Density : 8.12712810167754E-05
Modularity : 0.582741
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 10,913 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 Monday, 22 August 2022 at 08:42 UTC.
The requested start date was Monday, 22 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 3-day, 0-hour, 3-minute period from Thursday, 18 August 2022 at 12:16 UTC to Sunday, 21 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:
[1738] covid,19 [219] manuelrico,hoy [195] contra,covid [164] días,gobierno [164] gobierno,ayuso [164] ayuso,aprobó [164] aprobó,protocolo [164] protocolo,impedía [164] impedía,trasladar [164] trasladar,hospital Top Word Pairs in Tweet in G1:
[213] covid,19 [17] contra,covid [14] long,covid [14] during,covid [14] covid,cases [12] leggi,più [12] più,#casaitaliaradio [12] #casaitaliaradio,#webradio [12] #webradio,#radio [12] #radio,#casa Top Word Pairs in Tweet in G2:
[31] covid,19 [15] long,covid [15] mild,covid [12] long,term [12] died,covid [11] problems,such [11] heart,attack [11] #isme18,superspreader [11] superspreader,event [11] event,half Top Word Pairs in Tweet in G3:
[44] covid,19 [36] panneaux,affichage [26] france,gouvernement [26] gouvernement,censure [26] censure,panneaux [26] affichage,covid [26] covid,vaccins [26] vaccins,allemagne [26] allemagne,ministre [26] ministre,traite Top Word Pairs in Tweet in G4:
[219] manuelrico,hoy [164] días,gobierno [164] gobierno,ayuso [164] ayuso,aprobó [164] aprobó,protocolo [164] protocolo,impedía [164] impedía,trasladar [164] trasladar,hospital [164] hospital,residentes [153] residentes,vulnerab Top Word Pairs in Tweet in G5:
[253] covid,19 [70] vtvcanal8,#prevención [68] contra,covid [61] 19,venezuela [48] casos,covid [48] medidas,bioseguridad [47] 135,nuevos [46] nuevos,casos [43] venezuela,registró [41] #envideo,covid Top Word Pairs in Tweet in G6:
[120] recovery,covid [120] covid,19 [119] prime,minister [119] minister,fumio [119] fumio,kishida [119] kishida,speedy [119] speedy,recovery [119] jpn_pmo,kishida230 [118] 19,jpn_pmo [116] wishing,friend Top Word Pairs in Tweet in G7:
[24] nhs,staff [24] people,covid [23] people,attacking [23] attacking,nhs [23] nhs,supported [23] supported,brexit [23] brexit,despite [23] despite,single [23] single,branch [23] branch,nhs Top Word Pairs in Tweet in G8:
[59] covid,19 [20] during,covid [18] matt,hancock [18] hancock,mp [18] mp,know [18] know,during [18] 19,crisis [18] crisis,care [18] care,homes [18] homes,dido Top Word Pairs in Tweet in G9:
[12] covid,pts [11] don,think [11] think,people [11] people,realise [11] realise,means [11] means,morrison [11] morrison,hijacked [11] hijacked,health [11] health,powers [11] powers,commandeered Top Word Pairs in Tweet in G10:
[46] johns,hopkins [46] meta,analysis [45] hopkins,university [45] university,meta [45] analysis,studies [45] studies,around [45] around,world [45] world,concluded [45] concluded,lockdown [45] lockdown,mask Top Replied-To in Entire Graph:
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: