The graph represents a network of 10,365 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 Monday, 06 December 2021 at 08:22 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, 4-minute period from Thursday, 02 December 2021 at 12:12 UTC to Sunday, 05 December 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 : 10365
Unique Edges : 5260
Edges With Duplicates : 12321
Total Edges : 17581
Number of Edge Types : 5
Retweet : 5502
MentionsInRetweet : 6095
Tweet : 3292
Replies to : 545
Mentions : 2147
Self-Loops : 3395
Reciprocated Vertex Pair Ratio : 0.00340798442064265
Reciprocated Edge Ratio : 0.00679281901989326
Connected Components : 2988
Single-Vertex Connected Components : 1033
Maximum Vertices in a Connected Component : 841
Maximum Edges in a Connected Component : 1691
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.865285
Graph Density : 7.67434417590446E-05
Modularity : 0.540851
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,365 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 Monday, 06 December 2021 at 08:22 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, 4-minute period from Thursday, 02 December 2021 at 12:12 UTC to Sunday, 05 December 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:
[6779] covid,19 [376] 19,african [316] re,brand [316] brand,covid [316] african,issue [316] issue,happening [316] happening,front [316] front,eyes [313] lateefsaka,re [248] 19,vaccine Top Word Pairs in Tweet in G1:
[946] covid,19 [42] omicron,variant [36] contra,covid [32] 19,vaccine [26] 19,pandemic [23] 19,cases [18] 19,vaccination [16] 19,vaccines [16] casos,covid [15] #covid,19 Top Word Pairs in Tweet in G2:
[457] covid,19 [319] 19,african [312] re,brand [312] brand,covid [312] african,issue [312] issue,happening [312] happening,front [312] front,eyes [311] lateefsaka,re [50] during,covid Top Word Pairs in Tweet in G3:
[176] covid,19 [25] nuevos,contagios [25] contra,covid [24] germany,newspaper [24] newspaper,rheinpfalz [24] rheinpfalz,headline [24] headline,virus [24] nuevos,casos [23] virus,africa [23] casos,covid Top Word Pairs in Tweet in G4:
[63] covid,19 [12] ต,ดเช [8] ดเช,อ [6] vaccination,status [6] 19,surveillance [6] surveillance,england [6] england,recent [6] recent,days [6] days,28 [6] 28,nov Top Word Pairs in Tweet in G5:
[97] covid,19 [55] harimau,malaya [46] positif,covid [43] skuad,harimau [42] media,antarabangsa [42] antarabangsa,melaporkan [42] melaporkan,terdapat [42] terdapat,kes [42] kes,positif [42] 19,membabitkan Top Word Pairs in Tweet in G6:
[108] covid,19 [33] people,complained [33] complained,school [33] school,closings [33] closings,covid [33] 19,over [33] over,60 [33] 60,schools [33] schools,currently [33] currently,closed Top Word Pairs in Tweet in G7:
[31] covid,19 [11] myocarditis,pericarditis [11] long,term [11] term,consequences [11] consequences,condition [11] condition,secondary [11] secondary,vaccination [11] vaccination,unknown [10] slipped,quietly [10] unknown,myocarditis Top Word Pairs in Tweet in G8:
[11] covid,19 [4] varian,omicron [4] vaksin,covid [3] shaci117,__anomali__ [3] __anomali__,antonstefanus_ [3] antonstefanus_,painkiller819 [3] painkiller819,batukepla [3] batukepla,bapontar_ [3] bapontar_,kopiulubelu [3] kopiulubelu,jokosurono23121 Top Word Pairs in Tweet in G9:
[79] covid,19 [28] powinny,być [26] przeciw,covid [26] być,obowiązkowe [24] 19,polsce [21] szczepienia,przeciw [21] że,szczepienia [19] czy,uważa [19] uważa,pan [19] pan,pani Top Word Pairs in Tweet in G10:
[36] covid,19 [15] eligible,population [9] congratulations,india [9] 50,eligible [9] himachal,pradesh [8] हम,ह [8] ह,ग [8] ग,क [8] क,मय [8] मय,ब Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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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:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: