The graph represents a network of 10,793 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 Friday, 12 February 2021 at 08:25 UTC.
The requested start date was Friday, 12 February 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, 0-hour, 2-minute period from Tuesday, 09 February 2021 at 13:42 UTC to Thursday, 11 February 2021 at 13:45 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 : 10793
Unique Edges : 5773
Edges With Duplicates : 11770
Total Edges : 17543
Number of Edge Types : 5
Replies to : 370
Mentions : 2123
Tweet : 3772
Retweet : 5273
MentionsInRetweet : 6005
Self-Loops : 3812
Reciprocated Vertex Pair Ratio : 0.00795327451224059
Reciprocated Edge Ratio : 0.0157810380964123
Connected Components : 3562
Single-Vertex Connected Components : 1225
Maximum Vertices in a Connected Component : 736
Maximum Edges in a Connected Component : 1465
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.746921
Graph Density : 6.96354341628092E-05
Modularity : 0.544328
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 10,793 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 Friday, 12 February 2021 at 08:25 UTC.
The requested start date was Friday, 12 February 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, 0-hour, 2-minute period from Tuesday, 09 February 2021 at 13:42 UTC to Thursday, 11 February 2021 at 13:45 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:
[6984] covid,19 [582] contra,covid [435] 19,vaccine [238] 19,vaccines [169] 19,pandemic [126] 100,000 [115] sars,cov [115] 000,covid [97] earlier,today [97] today,very Top Word Pairs in Tweet in G1:
[1073] covid,19 [71] 19,vaccine [68] contra,covid [28] #covid19canada,case [28] case,law [28] law,mentioning [28] mentioning,covid [24] 19,cases [23] canlii,2021 [20] #covid,19 Top Word Pairs in Tweet in G2:
[300] covid,19 [94] contra,covid [41] coronavirus,covid [33] reduce,riesgo [33] riesgo,infección [33] infección,coronavirus [33] batalla,salud [33] salud,vida [33] vida,contra [32] salud,tuyos Top Word Pairs in Tweet in G3:
[68] covid,19 [19] died,covid [18] over,1000 [18] 1000,people [18] people,died [18] 19,yesterday [18] yesterday,healthcare [18] healthcare,workers [18] workers,under [18] under,much Top Word Pairs in Tweet in G4:
[110] covid,19 [106] 19,vaccines [101] 000,covid [96] india's,gift [96] gift,100 [96] 100,000 [96] vaccines,arrived [96] arrived,barbados [96] barbados,earlier [96] earlier,today Top Word Pairs in Tweet in G5:
[59] covid,19 [10] 19,vaccine [7] 19,maatregelen [6] two,britain's [6] britain's,famous [6] famous,performers [6] performers,singer [6] singer,elton [6] elton,john [6] john,actor Top Word Pairs in Tweet in G6:
[96] covid,19 [47] thought,covid [47] 19,shutdowns [47] shutdowns,bad [47] bad,small [47] small,business [47] business,wait [47] wait,until [47] until,biden [47] biden,15 Top Word Pairs in Tweet in G7:
[91] もうすぐバレンタインなので,covid [91] covid,19を作ってみた [91] 19を作ってみた,材料は2枚目のやつだけ [90] unyanko_btr_d,もうすぐバレンタインなので [2] unyanko_btr_d,細かくて申し訳ないんですが [2] 細かくて申し訳ないんですが,ウイルスの名前としては [2] ウイルスの名前としては,sars [2] sars,cov [2] cov,2といいます [2] 2といいます,covid Top Word Pairs in Tweet in G8:
[37] covid,19 [8] revealed,list [8] list,symptoms [8] symptoms,linked [8] linked,covid [8] 19,infection [7] 19,vaccine [7] itvnews,revealed [5] twelve,people [5] people,rented Top Word Pairs in Tweet in G9:
[61] covid,19 [31] 19,relief [25] georgians,urgently [25] urgently,need [25] need,covid [25] relief,re [25] re,working [25] working,deliver [24] reverendwarnock,georgians [16] vaccine,distribution Top Word Pairs in Tweet in G10:
[47] covid,19 [14] fight,against [9] prime,minister [8] doses,covid [8] against,covid [7] 19,test [6] thank,prime [6] minister,narendra [6] narendra,modi [6] modi,india 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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Top Tweeters in G10: