The graph represents a network of 10,505 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 Sunday, 10 October 2021 at 07:23 UTC.
The requested start date was Sunday, 10 October 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 3-day, 0-hour, 4-minute period from Tuesday, 05 October 2021 at 12:13 UTC to Friday, 08 October 2021 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 : 10505
Unique Edges : 5344
Edges With Duplicates : 12096
Total Edges : 17440
Number of Edge Types : 5
Retweet : 5459
MentionsInRetweet : 6106
Tweet : 3423
Mentions : 2031
Replies to : 421
Self-Loops : 3474
Reciprocated Vertex Pair Ratio : 0.00556655121227115
Reciprocated Edge Ratio : 0.0110714725058433
Connected Components : 3215
Single-Vertex Connected Components : 1114
Maximum Vertices in a Connected Component : 1276
Maximum Edges in a Connected Component : 2611
Maximum Geodesic Distance (Diameter) : 34
Average Geodesic Distance : 10.526675
Graph Density : 7.36692678530841E-05
Modularity : 0.542283
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,505 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 Sunday, 10 October 2021 at 07:23 UTC.
The requested start date was Sunday, 10 October 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 3-day, 0-hour, 4-minute period from Tuesday, 05 October 2021 at 12:13 UTC to Friday, 08 October 2021 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:
[5908] covid,19 [422] 19,vaccine [409] ˆà,ˆà [401] ãƒ,ム[347] contra,covid [261] î,î [231] 19,vaccination [200] ˆà,ƒà [162] soon,possible [157] #airforce_result_do,release Top Word Pairs in Tweet in G1:
[928] covid,19 [185] î,î [67] 19,vaccine [66] ãƒ,ム[55] contra,covid [23] 19,cases [19] 19,vaccination [18] ø,ù [17] 19,pandemic [17] ù,ø Top Word Pairs in Tweet in G2:
[192] covid,19 [114] 19,vaccination [91] uk,judge [91] judge,orders [91] orders,government [91] government,provide [91] provide,evidence [91] evidence,court [91] court,justifies [91] justifies,covid Top Word Pairs in Tweet in G3:
[202] covid,19 [141] time,educate [141] educate,engage [141] engage,time [141] time,enforce [141] enforce,law [141] law,saya [141] saya,telah [141] telah,minta [141] minta,laporan Top Word Pairs in Tweet in G4:
[153] #airforce_result_do,release [153] star,2021 [153] 2021,soon [153] soon,possible [153] possible,please [153] please,sir [153] sir,already [153] already,lost [128] release,result [128] result,star Top Word Pairs in Tweet in G5:
[138] covid,19 [57] contra,covid [33] prevención,clave [30] prevenciã,clave [30] lucha,contra [30] pueblo,venezolano [30] combatir,#covid_19 [28] iaim_ve,desea [27] 19,venezuela [27] 519,nuevos Top Word Pairs in Tweet in G6:
[82] looking,happening [82] happening,australia [82] australia,confidently [82] confidently,world [82] world,war [82] war,upon [81] realcandaceo,looking [81] upon,mid [35] covid,19 [12] adverse,events Top Word Pairs in Tweet in G7:
[37] ªvery,strangeâ [37] strangeâ,wuhan [37] wuhan,started [37] started,mass [37] mass,purchasing [37] purchasing,pcr [37] pcr,tests [37] tests,equipment [37] equipment,early [37] early,2019â Top Word Pairs in Tweet in G8:
[124] covid,19 [22] 19,infections [20] vaccinations,prevented [20] prevented,265 [20] 265,000 [20] 000,covid [20] infections,seniors [20] seniors,tens [20] tens,thousands [20] thousands,deaths Top Word Pairs in Tweet in G9:
[32] covid,19 [27] espn,anchor [27] anchor,sage [27] sage,steele [27] steele,taken [27] taken,air [27] air,questioned [27] questioned,obama [27] obama,identifies [27] identifies,black Top Word Pairs in Tweet in G10:
[50] huge,problem [50] problem,merck [50] merck,developed [50] developed,covid [50] covid,drug [50] drug,19 [50] 19,million [50] million,government [50] government,funding [50] funding,drug Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G6:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: