The graph represents a network of 11,950 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, 06 December 2021 at 09:41 UTC.
The requested start date was Monday, 06 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 3-day, 0-hour, 1-minute period from Thursday, 02 December 2021 at 12:18 UTC to Sunday, 05 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 : 11950
Unique Edges : 6593
Edges With Duplicates : 12366
Total Edges : 18959
Number of Edge Types : 5
Replies to : 952
Mentions : 2608
Retweet : 5592
MentionsInRetweet : 6396
Tweet : 3411
Self-Loops : 3461
Reciprocated Vertex Pair Ratio : 0.00411696400295577
Reciprocated Edge Ratio : 0.00820016820857864
Connected Components : 3486
Single-Vertex Connected Components : 855
Maximum Vertices in a Connected Component : 1039
Maximum Edges in a Connected Component : 2241
Maximum Geodesic Distance (Diameter) : 33
Average Geodesic Distance : 12.062181
Graph Density : 6.66150526067726E-05
Modularity : 0.576184
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,950 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, 06 December 2021 at 09:41 UTC.
The requested start date was Monday, 06 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 3-day, 0-hour, 1-minute period from Thursday, 02 December 2021 at 12:18 UTC to Sunday, 05 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:
[2099] covid,19 [172] fuck,covid [167] pasaporte,covid [146] positive,covid [137] contra,covid [120] omicron,variant [107] covid,vaccine [104] อป,องก [102] 19,african [100] tested,positive Top Word Pairs in Tweet in G1:
[240] covid,19 [24] omicron,variant [20] covid,covid [17] contra,covid [13] covid,test [13] covid,variant [13] pasaporte,covid [11] positive,covid [10] covid,vaccine [9] #,# Top Word Pairs in Tweet in G2:
[16] covid,19 [14] huge,protest [12] south,africa [12] aginnt,huge [11] against,covid [11] covid,vaccine [11] force,someone [10] germany,make [10] make,covid [10] covid,jabs Top Word Pairs in Tweet in G3:
[15] covid,19 [13] please,give [13] give,rightful [12] rightful,covid [12] covid,compensataory [11] amit,ji [10] eligible,population [8] everytime,detain [8] detain,amit [8] ji,absolutely Top Word Pairs in Tweet in G4:
[28] #covid19,#covid_19 [25] #covid_19,#covidー19 [23] covid,19 [20] #estadodealarma,#toquedequeda [14] #toquedequeda,#covid19 [14] #tevdadeverano,#estadodealarma [11] #covidー19,#coronavirus [10] #fintoquedequeda,#mascarillas [10] #coronavirus,#covid [9] #covid,#vacuna Top Word Pairs in Tweet in G5:
[39] covid,19 [22] marcus,lamb [22] lamb,christian [22] christian,broadcaster [22] broadcaster,dallas [22] dallas,dismissive [22] dismissive,covid [22] 19,vaccinations [22] vaccinations,died [22] died,tuesday Top Word Pairs in Tweet in G6:
[87] re,brand [87] brand,covid [87] covid,19 [87] 19,african [87] african,issue [87] issue,happening [87] happening,front [87] front,eyes [86] lateefsaka,re [18] clear,covid Top Word Pairs in Tweet in G7:
[24] fda,absolutely [24] absolutely,approve [24] approve,merck's [24] merck's,experimental [24] experimental,covid [24] covid,pill [24] pill,molnupiravir [24] molnupiravir,dangerous [23] tulsigabbard,fda [18] human,rights Top Word Pairs in Tweet in G8:
[18] covid,19 [9] million,people [9] people,waiting [9] waiting,lists [9] lists,75 [9] 75,000 [9] 000,excess [9] excess,home [9] home,deaths [9] deaths,pandemic Top Word Pairs in Tweet in G9:
[66] positif,covid [41] hai,uitmofficial [41] uitmofficial,semalam [41] semalam,pegi [41] pegi,majlis [41] majlis,konvo [41] konvo,datc [41] datc,uitm [41] uitm,shah [41] shah,alam Top Word Pairs in Tweet in G10:
[48] covid,19 [14] nuevos,contagios [13] contra,covid [11] 694,nuevos [10] lucha,contra [9] 473,nuevos [9] 19,venezuela [9] venezuela,registra [9] contagios,comunitarios [9] comunitarios,mantiene Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
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Top Replied-To in G7:
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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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: