The graph represents a network of 8,881 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 Tuesday, 06 December 2022 at 08:16 UTC.
The requested start date was Tuesday, 06 December 2022 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 3-day, 0-hour, 16-minute period from Friday, 02 December 2022 at 12:00 UTC to Monday, 05 December 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 : 8881
Unique Edges : 4230
Edges With Duplicates : 12052
Total Edges : 16282
Number of Edge Types : 5
Retweet : 5499
MentionsInRetweet : 6142
Tweet : 2568
Mentions : 1494
Replies to : 579
Self-Loops : 2627
Reciprocated Vertex Pair Ratio : 0.00454849498327759
Reciprocated Edge Ratio : 0.00905579970701824
Connected Components : 2276
Single-Vertex Connected Components : 957
Maximum Vertices in a Connected Component : 1481
Maximum Edges in a Connected Component : 3262
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 9.010044
Graph Density : 9.52154158437235E-05
Modularity : 0.516498
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,881 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 Tuesday, 06 December 2022 at 08:16 UTC.
The requested start date was Tuesday, 06 December 2022 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 3-day, 0-hour, 16-minute period from Friday, 02 December 2022 at 12:00 UTC to Monday, 05 December 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:
[5831] covid,19 [406] contra,covid [327] tomar,uma [303] bruno,oscar [303] oscar,graf [302] uma,única [302] astrazeneca,supostamente [302] chamado,astrazeneca [302] graf,28 [302] após,tomar Top Word Pairs in Tweet in G1:
[894] covid,19 [50] pandemi,covid [35] contra,covid [34] 19,pandemic [25] 19,vaccine [24] casos,covid [22] 19,yang [21] pada,kuartal [21] tatap,muka [21] bisnis,umkm Top Word Pairs in Tweet in G2:
[605] covid,19 [176] vtvcanal8,#jornadadevacunación [145] contra,covid [134] vacunas,sé [134] 19,mejor [134] mejor,combinación [134] combate,covid [134] combinación,mascarilla [134] sé,consciente [134] consciente,cuídate Top Word Pairs in Tweet in G3:
[298] bruno,oscar [298] oscar,graf [297] anos,morreu [297] morreu,após [297] 28,anos [297] tomar,uma [297] uma,única [297] astrazeneca,supostamente [297] graf,28 [297] chamado,astrazeneca Top Word Pairs in Tweet in G4:
[208] covid,19 [189] take,place [188] 19,situation [188] grand,prix [188] place,due [188] ongoing,difficulties [188] presented,covid [188] situation,#f1 [188] difficulties,presented [188] 2023,chinese Top Word Pairs in Tweet in G5:
[91] covid,19 [39] contre,covid [32] 19,ansm [27] 1er,octobre [27] été,convoqué [27] extrait,debriefing [27] anonyme,été [27] généraliste,anonyme [27] 2022,d'un [27] octobre,2022 Top Word Pairs in Tweet in G6:
[135] covid,19 [29] result,covid [28] afternoon,routine [28] routine,pcr [28] positive,result [28] 19,isolating [28] test,returned [28] pcr,test [28] returned,positive [27] albomp,afternoon Top Word Pairs in Tweet in G7:
[162] kelly,ernby [160] orange,county [159] attorney,kelly [159] deputy,district [159] california,deputy [159] monday,night [159] announced,orange [159] county,california [159] district,attorney [159] ernby,rising Top Word Pairs in Tweet in G8:
[130] covid,19 [43] fda,aprobó [43] experimentales,ninguna [43] vacunas,#covid_19 [43] completó,fases [43] ninguna,completó [43] hechos,vacunas [43] toda,experimentales [43] ninguna,toda [43] #covid_19,fda Top Word Pairs in Tweet in G9:
[87] covid,19 [43] stated,americans [43] americans,covid [43] #longcovid,re [43] cdcgov,stated [43] 19,#longcovid [43] re,heading [43] reminder,cdcgov [42] morganstephensa,reminder [13] public,places Top Word Pairs in Tweet in G10:
[75] covid,19 [26] ministre,santé [24] françois,braun [23] réintégration,soignants [23] soignants,non [17] non,vaccinés [14] santé,covid [14] 19,grippe [14] impératif,personnes [14] personnes,fragiles Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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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: