The graph represents a network of 11,762 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 Monday, 07 February 2022 at 09:43 UTC.
The requested start date was Monday, 07 February 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 2-day, 0-hour, 1-minute period from Wednesday, 02 February 2022 at 12:18 UTC to Friday, 04 February 2022 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 : 11762
Unique Edges : 6932
Edges With Duplicates : 11734
Total Edges : 18666
Number of Edge Types : 5
Retweet : 5256
MentionsInRetweet : 6210
Tweet : 3455
Replies to : 1074
Mentions : 2671
Self-Loops : 3492
Reciprocated Vertex Pair Ratio : 0.00393115172120697
Reciprocated Edge Ratio : 0.00783151656259922
Connected Components : 3584
Single-Vertex Connected Components : 1032
Maximum Vertices in a Connected Component : 580
Maximum Edges in a Connected Component : 1119
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 8.634173
Graph Density : 6.83062469558033E-05
Modularity : 0.58297
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,762 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 Monday, 07 February 2022 at 09:43 UTC.
The requested start date was Monday, 07 February 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 2-day, 0-hour, 1-minute period from Wednesday, 02 February 2022 at 12:18 UTC to Friday, 04 February 2022 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:
[2105] covid,19 [197] contra,covid [132] positive,covid [120] covid,deaths [118] long,covid [113] covid,2013 [107] due,covid [94] covid,restrictions [91] 19,vaccine [90] covid,vaccine Top Word Pairs in Tweet in G1:
[253] covid,19 [18] contra,covid [18] positive,covid [17] teste,covid [14] casos,covid [12] covid,test [10] positif,covid [10] 19,vaccine [9] tested,positive [9] johns,hopkins Top Word Pairs in Tweet in G2:
[59] covid,19 [27] tout,ce [25] continuer,régaler [25] régaler,tout [25] ce,sortir [25] sortir,macron [25] macron,ursula [25] ursula,véran [25] véran,#mckinsey [25] #mckinsey,cie Top Word Pairs in Tweet in G3:
[17] client,died [17] died,last [17] last,night [17] night,covid [17] covid,jail [17] jail,years [17] years,waiting [17] waiting,trial [17] trial,previous [16] dontletmydasee1,client Top Word Pairs in Tweet in G4:
[80] covid,19 [31] propagación,covid [31] uso,adecuado [31] adecuado,mascarilla [31] mascarilla,indica [31] indica,métodos [31] métodos,preventivos [31] preventivos,efectivos [31] efectivos,evitar [24] contra,covid Top Word Pairs in Tweet in G5:
[16] covid,rules [13] californa,pausing [13] pausing,covid [13] rules,super [13] super,bowl [13] bowl,game [13] game,know [13] know,money [13] money,safety [13] safety,health Top Word Pairs in Tweet in G6:
[7] donc,quand [7] quand,eu [7] eu,fois [7] fois,covid [7] covid,l'on [7] l'on,toujours [7] toujours,vivant [7] vivant,faut [7] faut,quand [7] quand,même Top Word Pairs in Tweet in G7:
[14] covid,19 [12] patients,currently [12] currently,hospitalized [12] hospitalized,covid [12] covid,pneumonia [12] pneumonia,double [12] double,vaccinated [12] vaccinated,vaccinated [12] vaccinated,boosted [12] boosted,yes Top Word Pairs in Tweet in G8:
[14] 1000,more [14] more,scared [14] scared,govt [14] govt,covid [13] mochapup44,1000 [6] flagrant,foul [6] foul,shaq [6] shaq,dunks [6] dunks,covid [6] covid,vaccine Top Word Pairs in Tweet in G9:
[46] ranojpeguassam,himantabiswa [42] students,very [39] himantabiswa,cmofficeassam [33] cmofficeassam,rahulgandhi [30] due,covid [29] wave,covid [25] 2nd,wave [23] students,life [23] hampered,due [21] demands,students Top Word Pairs in Tweet in G10:
[12] ब,द [9] due,covid [8] vasundharabjp,bjp4india [8] bjp4india,bjplive [8] bjplive,bjp4rajasthan [8] bjp4rajasthan,bjym [7] क,य [6] rajucha38148676,vasundharabjp [6] द,न [6] ह,त Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: