The graph represents a network of 11,981 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, 18 September 2021 at 07:36 UTC.
The requested start date was Saturday, 18 September 2021 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 2-day, 0-hour, 1-minute period from Wednesday, 15 September 2021 at 12:18 UTC to Friday, 17 September 2021 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 : 11981
Unique Edges : 6565
Edges With Duplicates : 11973
Total Edges : 18538
Number of Edge Types : 5
Retweet : 5480
MentionsInRetweet : 6300
Mentions : 2287
Replies to : 1052
Tweet : 3419
Self-Loops : 3453
Reciprocated Vertex Pair Ratio : 0.00363636363636364
Reciprocated Edge Ratio : 0.0072463768115942
Connected Components : 3561
Single-Vertex Connected Components : 894
Maximum Vertices in a Connected Component : 886
Maximum Edges in a Connected Component : 1896
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 8.703711
Graph Density : 6.5378975810197E-05
Modularity : 0.580869
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,981 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, 18 September 2021 at 07:36 UTC.
The requested start date was Saturday, 18 September 2021 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 2-day, 0-hour, 1-minute period from Wednesday, 15 September 2021 at 12:18 UTC to Friday, 17 September 2021 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:
[2542] covid,19 [235] died,covid [214] contra,covid [188] covid,vaccine [169] covid,deaths [147] 19,vaccine [142] laura,loomer [116] covid,cases [112] against,covid [105] pakistanis,killed Top Word Pairs in Tweet in G1:
[294] covid,19 [26] contra,covid [24] covid,vaccine [15] against,covid [12] covid,cases [11] covid,test [11] vaccinated,against [11] during,covid [10] died,covid [10] vaksin,tangkal Top Word Pairs in Tweet in G2:
[119] laura,loomer [44] covid,much [38] loomer,covid [37] anti,vaccine [35] far,right [32] died,covid [32] covid,19 [32] today's,round [32] round,started [32] started,going Top Word Pairs in Tweet in G3:
[63] covid,19 [57] died,covid [53] occupydemocrats,breaking [52] breaking,news [43] vaccinated,against [42] health,workers [38] news,france [38] france,announces [38] announces,suspended [38] suspended,over Top Word Pairs in Tweet in G4:
[28] natural,immunity [28] covid,infection [27] immunity,covid [25] astonishing,universities [25] universities,deny [25] deny,natural [25] infection,#vaccinemandate's [24] martinkulldorff,astonishing [18] covid,cases [13] shut,down Top Word Pairs in Tweet in G5:
[79] covid,19 [42] wajib,test [41] ada,baca [41] baca,orang [41] orang,complain [41] complain,sbb [41] sbb,wajib [41] test,covid [41] covid,before [41] before,going Top Word Pairs in Tweet in G6:
[22] covid,19 [18] nicki,minaj [10] joy,reid [10] covid,deaths [7] white,house [7] unvaccinated,pennsylvanians [7] pennsylvanians,account [7] account,97 [7] 97,percent [7] percent,covid Top Word Pairs in Tweet in G7:
[99] following,points [99] points,zealand [99] zealand,remember [99] remember,pakistanis [99] pakistanis,killed [99] killed,christchurch [99] christchurch,attack [99] attack,pakistan [99] pakistan,stood [98] shoaib100mph,following Top Word Pairs in Tweet in G8:
[16] vaccine,passports [11] challenge,markdrakeford [11] markdrakeford,nicolasturgeon [11] nicolasturgeon,present [11] present,evidence [11] evidence,vaccine [11] passports,reduce [11] reduce,covid [11] covid,spread [11] spread,isn Top Word Pairs in Tweet in G9:
[9] covid,19 [6] young,people [6] catch,covid [5] health,secretary [4] 19,vaccine [4] against,covid [4] clear,message [4] message,young [4] people,vaccinated [4] vaccinated,protect Top Word Pairs in Tweet in G10:
[37] covid,19 [20] treatment,covid [14] clinical,benefit [14] benefit,remdesivir [14] remdesivir,licensed [14] licensed,covid [13] rwmalonemd,clinical [11] nih,recommends [11] recommends,vitamin [11] vitamin,d3 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: