The graph represents a network of 11,980 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 Sunday, 05 December 2021 at 09:02 UTC.
The requested start date was Sunday, 05 December 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, 1-minute period from Wednesday, 01 December 2021 at 12:18 UTC to Friday, 03 December 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 : 11980
Unique Edges : 6719
Edges With Duplicates : 12127
Total Edges : 18846
Number of Edge Types : 5
Retweet : 5427
MentionsInRetweet : 6138
Tweet : 3505
Mentions : 2780
Replies to : 996
Self-Loops : 3565
Reciprocated Vertex Pair Ratio : 0.0050063911376225
Reciprocated Edge Ratio : 0.00996290408055114
Connected Components : 3599
Single-Vertex Connected Components : 946
Maximum Vertices in a Connected Component : 777
Maximum Edges in a Connected Component : 1681
Maximum Geodesic Distance (Diameter) : 40
Average Geodesic Distance : 13.399527
Graph Density : 6.57452712530735E-05
Modularity : 0.57752
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,980 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 Sunday, 05 December 2021 at 09:02 UTC.
The requested start date was Sunday, 05 December 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, 1-minute period from Wednesday, 01 December 2021 at 12:18 UTC to Friday, 03 December 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:
[2161] covid,19 [218] positive,covid [177] tested,positive [171] fuck,covid [159] contra,covid [155] omicron,variant [140] covid,vaccine [131] marcus,lamb [118] christmas,party [117] 19,vaccine Top Word Pairs in Tweet in G1:
[289] covid,19 [31] omicron,variant [21] contra,covid [20] covid,covid [18] covid,variant [15] positive,covid [14] covid,test [13] pasaporte,covid [11] covid,vaccine [10] omicron,covid Top Word Pairs in Tweet in G2:
[23] fda,absolutely [23] absolutely,approve [23] approve,merck's [23] merck's,experimental [23] experimental,covid [23] covid,pill [23] pill,molnupiravir [23] molnupiravir,dangerous [22] tulsigabbard,fda [21] york,times Top Word Pairs in Tweet in G3:
[65] covid,19 [33] marcus,lamb [28] christian,broadcaster [25] lamb,christian [25] broadcaster,dallas [25] dallas,dismissive [25] dismissive,covid [25] 19,vaccinations [25] vaccinations,died [25] died,tuesday Top Word Pairs in Tweet in G4:
[24] vaccine,passports [20] prisonplanet,germany [19] germany,reports [19] reports,highest [19] highest,covid [19] covid,death [19] death,toll [19] toll,months [19] months,mandatory [19] mandatory,mask Top Word Pairs in Tweet in G5:
[18] point,feel [18] feel,more [18] more,comfortable [18] comfortable,covid [18] covid,hosted [18] hosted,press [18] press,conference [18] conference,protect [18] protect,government [17] zubymusic,point Top Word Pairs in Tweet in G6:
[22] survival,rate [13] 99,85 [12] covid,jabs [11] myocarditis,50 [11] 50,survival [11] rate,covid [11] covid,overwhelming [11] overwhelming,99 [11] 85,survival [11] rate,right Top Word Pairs in Tweet in G7:
[14] covid,19 [14] 125,crore [8] crore,covid [8] vaccine,doses [7] due,covid [7] pm,narendramodi [7] another,milestone [7] crore,vaccines [7] fight,against [6] vaccines,strengthening Top Word Pairs in Tweet in G8:
[69] christmas,party [64] covid,rules [62] broke,covid [59] 489,people [57] downing,street [56] 18,dec [56] dec,downing [56] street,staff [56] staff,broke [56] rules,boozing Top Word Pairs in Tweet in G9:
[34] illegal,ordered [34] ordered,local [34] local,government [33] government,pay [33] pay,daily [33] daily,fine [32] belgium,court [32] court,ruled [32] ruled,use [32] use,covid Top Word Pairs in Tweet in G10:
[40] tested,positive [34] positive,covid [22] three,days [21] mark,meadows [21] trump,tested [21] days,before [19] colleague,tested [19] covid,morning [19] morning,first [19] first,thing Top Replied-To in Entire Graph:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G9:
Top Tweeters in G10: