The graph represents a network of 10,418 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 Sunday, 05 December 2021 at 08:23 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, 4-minute period from Wednesday, 01 December 2021 at 12:13 UTC to Friday, 03 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 : 10418
Unique Edges : 5435
Edges With Duplicates : 12049
Total Edges : 17484
Number of Edge Types : 5
Retweet : 5326
MentionsInRetweet : 5954
Tweet : 3583
Mentions : 2106
Replies to : 515
Self-Loops : 3660
Reciprocated Vertex Pair Ratio : 0.00511732401397903
Reciprocated Edge Ratio : 0.010182540668074
Connected Components : 3229
Single-Vertex Connected Components : 1176
Maximum Vertices in a Connected Component : 601
Maximum Edges in a Connected Component : 1257
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.464617
Graph Density : 7.42045749640638E-05
Modularity : 0.539938
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 10,418 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 Sunday, 05 December 2021 at 08:23 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, 4-minute period from Wednesday, 01 December 2021 at 12:13 UTC to Friday, 03 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:
[6906] covid,19 [340] 19,vaccine [276] contra,covid [194] omicron,variant [183] 19,pandemic [169] positive,covid [152] 19,variant [140] marcus,lamb [137] 19,vaccines [130] omicron,covid Top Word Pairs in Tweet in G1:
[1049] covid,19 [58] omicron,variant [49] contra,covid [41] 19,vaccine [28] 19,cases [25] 19,pandemic [21] 19,vaccination [20] #covid,19 [17] 19,omicron [17] 19,variant Top Word Pairs in Tweet in G2:
[140] covid,19 [32] contra,covid [18] 694,nuevos [17] propagación,covid [17] nuevos,casos [16] casos,covid [16] medidas,bioseguridad [15] nuevos,contagios [14] lucha,contra [13] 19,venezuela Top Word Pairs in Tweet in G3:
[75] covid,19 [8] against,covid [8] ontario,government [7] omicron,variant [6] help,protect [6] 19,pandemic [6] covidnewsbymib,#indiafightscorona [6] variant,concern [6] last,24 [6] 24,hours Top Word Pairs in Tweet in G4:
[65] covid,19 [45] informacje,mojej [45] mojej,śmierci [45] śmierci,czy [45] czy,ciężkim [45] ciężkim,przebiegu [45] przebiegu,19 [45] 19,są [45] są,przesadzone [45] przesadzone,być Top Word Pairs in Tweet in G5:
[110] covid,19 [41] marcus,lamb [25] anti,vaccine [25] murió,covid [25] 19,johann [25] johann,biacsics [25] biacsics,65 [25] 65,líderes [25] líderes,antivacunas [25] antivacunas,austria Top Word Pairs in Tweet in G6:
[57] covid,19 [16] unvaccinated,austrians [16] austrians,face [16] face,prison [16] prison,time [16] time,huge [16] huge,fines [16] fines,non [16] non,compliance [15] przeciw,covid Top Word Pairs in Tweet in G7:
[86] covid,19 [16] 19,vaccine [14] boris,johnson [14] marcus,lamb [14] lamb,head [14] head,televangelist [14] televangelist,network [14] network,spreads [14] spreads,covid [14] covid,misinformation Top Word Pairs in Tweet in G8:
[84] covid,19 [23] bit,fed [23] fed,hearing [23] hearing,media [23] media,govt [23] govt,suggest [23] suggest,covid [23] 19,policy [23] policy,changes [23] changes,july Top Word Pairs in Tweet in G9:
[44] covid,19 [17] italien,tente [17] tente,faire [17] faire,vacciner [17] faux,bras [17] bras,silicone [9] hospitalisations,selon [9] selon,statut [9] statut,vaccinal [9] vaccinal,prenons Top Word Pairs in Tweet in G10:
[3] covid,19 [2] visalmama,bs_hariharan3 [2] bs_hariharan3,gkb19551 [2] gkb19551,murali76133156 [2] murali76133156,lovebharatvarsh [2] lovebharatvarsh,indianrajeshnco [2] indianrajeshnco,jagannkaushik [2] jagannkaushik,shytigress [2] swetashandilya,genpanwar [2] genpanwar,chimnibai Top Replied-To in Entire Graph:
Top Replied-To in G3:
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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 G3:
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Top Tweeters in G5:
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Top Tweeters in G10: