The graph represents a network of 11,846 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 Saturday, 06 March 2021 at 08:39 UTC.
The requested start date was Saturday, 06 March 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, 23-hour, 44-minute period from Tuesday, 02 March 2021 at 13:46 UTC to Friday, 05 March 2021 at 13:30 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 : 11846
Unique Edges : 6804
Edges With Duplicates : 11234
Total Edges : 18038
Number of Edge Types : 5
Retweet : 5223
MentionsInRetweet : 6098
Tweet : 3598
Replies to : 789
Mentions : 2330
Self-Loops : 3629
Reciprocated Vertex Pair Ratio : 0.00662325999101931
Reciprocated Edge Ratio : 0.0131593621054979
Connected Components : 3931
Single-Vertex Connected Components : 1272
Maximum Vertices in a Connected Component : 1277
Maximum Edges in a Connected Component : 2584
Maximum Geodesic Distance (Diameter) : 40
Average Geodesic Distance : 11.916742
Graph Density : 6.39058147877357E-05
Modularity : 0.580734
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 11,846 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 Saturday, 06 March 2021 at 08:39 UTC.
The requested start date was Saturday, 06 March 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, 23-hour, 44-minute period from Tuesday, 02 March 2021 at 13:46 UTC to Friday, 05 March 2021 at 13:30 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:
[3000] covid,19 [515] î,î [370] contra,covid [357] covid,relief [276] 19,vaccine [252] covid,vaccine [235] àª,ઠ[199] relief,bill [119] during,covid [112] ø,ø Top Word Pairs in Tweet in G1:
[474] covid,19 [49] 19,vaccine [42] contra,covid [40] covid,vaccine [18] ãƒ,ム[17] 19,pandemic [16] due,covid [13] during,covid [13] covid,relief [12] first,covid Top Word Pairs in Tweet in G2:
[184] covid,19 [109] contra,covid [43] venezuela,garantiza [42] garantiza,protecciã [42] protecciã,pueblo [41] pueblo,contra [39] #2mar,ªâ [39] ªâ,etiqueta [37] etiqueta,dã [35] dã,#vacunaesperanzayvida Top Word Pairs in Tweet in G3:
[78] republicans,voted [68] 000,000 [67] covid,relief [56] voted,covid [40] voted,against [39] 147,republicans [39] against,certifying [39] certifying,2020 [39] 2020,election [39] election,republicans Top Word Pairs in Tweet in G4:
[73] covid,relief [61] relief,bill [35] before,senate [35] senate,passes [35] passes,covid [35] bill,senschumer [35] senschumer,ask [35] ask,unanimous [35] unanimous,consent [35] consent,resolution Top Word Pairs in Tweet in G5:
[235] àª,ઠ[41] covid,19 [13] 19,vaccine [12] àª,વઠ[12] વàª,ઠ[11] great,win [11] win,atmanirbhar [11] atmanirbhar,bharat [11] bharat,indiaâ [11] indiaâ,indigenously Top Word Pairs in Tweet in G6:
[24] purposely,hid [24] hid,numbers [24] numbers,nygovcuomo [24] nygovcuomo,promoting [24] promoting,book [24] book,profited [24] profited,covid [24] covid,dead [24] dead,loved [24] loved,ones Top Word Pairs in Tweet in G7:
[65] resumindo,live [65] live,tila [65] tila,nã [65] nã,terã [65] terã,vacinaã [65] vacinaã,em [65] em,massa [65] massa,brasil [65] brasil,nem [65] nem,tãƒo Top Word Pairs in Tweet in G8:
[9] covid,19 [5] retweet,thank [5] thank,joebiden [5] joebiden,beating [5] beating,#covid [5] #covid,ºðÿ [4] biden,presidency [4] presidency,still [4] still,early [4] early,days Top Word Pairs in Tweet in G9:
[25] covid,relief [18] listening,clerks [18] clerks,read [18] read,democrats' [18] democrats',9t [18] 9t,bill [18] bill,amazing [18] amazing,many [18] many,times [18] times,hear Top Word Pairs in Tweet in G10:
[81] covid,19 [38] young,people [38] during,covid [27] bts_twt's,messages [27] messages,solidarity [27] solidarity,given [27] given,hope [27] hope,children [27] children,young [27] people,around Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: