The graph represents a network of 9,462 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 Monday, 09 May 2022 at 07:18 UTC.
The requested start date was Monday, 09 May 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, 11-minute period from Thursday, 05 May 2022 at 12:06 UTC to Sunday, 08 May 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 : 9462
Unique Edges : 4806
Edges With Duplicates : 11905
Total Edges : 16711
Number of Edge Types : 5
Retweet : 5278
MentionsInRetweet : 6100
Tweet : 2922
Replies to : 582
Mentions : 1829
Self-Loops : 3009
Reciprocated Vertex Pair Ratio : 0.00598345003182686
Reciprocated Edge Ratio : 0.0118957226018729
Connected Components : 2584
Single-Vertex Connected Components : 1072
Maximum Vertices in a Connected Component : 1869
Maximum Edges in a Connected Component : 4187
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 13.992572
Graph Density : 8.82707952287122E-05
Modularity : 0.535351
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,462 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 Monday, 09 May 2022 at 07:18 UTC.
The requested start date was Monday, 09 May 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, 11-minute period from Thursday, 05 May 2022 at 12:06 UTC to Sunday, 08 May 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:
[5936] covid,19 [279] î,î [268] 19,vaccine [215] 19,pandemic [199] contra,covid [136] people,died [134] 19,vaccines [133] million,people [125] 15,million [120] ãƒ,ムTop Word Pairs in Tweet in G1:
[1022] covid,19 [53] 19,vaccine [38] 19,cases [29] 19,pandemic [28] contra,covid [22] î,î [19] death,toll [19] 15,million [19] three,times [19] deseamos,feliz Top Word Pairs in Tweet in G2:
[161] covid,19 [48] #covid,#covid_19 [48] #covid_19,faites [48] faites,circuler [48] circuler,plaît [48] plaît,plus [48] plus,possible [47] c_mouhaouri,#covid [31] étude,confirme [31] confirme,vaccin Top Word Pairs in Tweet in G3:
[133] covid,19 [47] 19,death [39] single,death [39] death,happened [39] happened,due [39] due,covid [39] 19,during [39] during,aurangzeb's [39] aurangzeb's,rule [39] rule,india Top Word Pairs in Tweet in G4:
[121] covid,19 [85] ça,interpelle [85] interpelle,continent [85] continent,africain [85] africain,n'ait [85] n'ait,été [85] été,terrassée [85] terrassée,par [85] par,covid [85] 19,alors Top Word Pairs in Tweet in G5:
[143] covid,19 [39] biden,administration [39] administration,issuing [39] issuing,warning [39] warning,potentially [39] potentially,see [39] see,100 [39] 100,million [39] million,covid [39] 19,infections Top Word Pairs in Tweet in G6:
[126] covid,19 [52] re,going [52] going,make [52] make,covid [52] 19,last [52] last,pandemic [50] pandemic,world [50] world,needs [50] needs,work [50] work,right Top Word Pairs in Tweet in G7:
[74] covid,19 [27] medicine,regulators [20] zunehmend,problem [20] problem,covid [20] 19,problem [20] problem,lauterbach [19] erwin_rueddel,zunehmend [18] foi,reveals [18] reveals,pfizer [18] pfizer,medicine Top Word Pairs in Tweet in G8:
[170] covid,19 [75] 19,venezuela [59] contra,covid [56] uso,adecuado [56] adecuado,mascarilla [56] mascarilla,indica [56] indica,métodos [51] métodos,preventivos [51] preventivos,efectivos [51] efectivos,evitar Top Word Pairs in Tweet in G9:
[104] covid,19 [31] longer,needed [30] cbc,federal [30] federal,covid [30] 19,supports [30] supports,expire [30] expire,today [30] today,ottawa [30] ottawa,'extraordinary' [30] 'extraordinary',measures Top Word Pairs in Tweet in G10:
[46] covid,19 [40] starting,see [40] see,signs [40] signs,many [40] many,people [40] people,scientists [40] scientists,included [40] included,getting [40] getting,convinced [40] convinced,going 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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