The graph represents a network of 10,204 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 Saturday, 24 October 2020 at 07:20 UTC.
The requested start date was Saturday, 24 October 2020 at 00:01 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, 3-minute period from Wednesday, 21 October 2020 at 03:16 UTC to Friday, 23 October 2020 at 03:19 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 : 10204
Unique Edges : 5311
Edges With Duplicates : 12709
Total Edges : 18020
Number of Edge Types : 5
Tweet : 3122
Retweet : 5729
MentionsInRetweet : 6818
Replies to : 507
Mentions : 1844
Self-Loops : 3147
Reciprocated Vertex Pair Ratio : 0.00523499302000931
Reciprocated Edge Ratio : 0.0104154611734753
Connected Components : 2826
Single-Vertex Connected Components : 881
Maximum Vertices in a Connected Component : 2035
Maximum Edges in a Connected Component : 4869
Maximum Geodesic Distance (Diameter) : 33
Average Geodesic Distance : 11.04002
Graph Density : 8.29976256589431E-05
Modularity : 0.541744
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 10,204 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 Saturday, 24 October 2020 at 07:20 UTC.
The requested start date was Saturday, 24 October 2020 at 00:01 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, 3-minute period from Wednesday, 21 October 2020 at 03:16 UTC to Friday, 23 October 2020 at 03:19 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-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:
[7160] covid,19 [219] contra,covid [190] arolde,oliveira [173] president,trump [166] casos,covid [166] positivo,covid [165] 19,pandemic [161] 19,relief [159] senador,arolde [149] 19,cases Top Word Pairs in Tweet in G1:
[821] covid,19 [38] protokol,kesehatan [28] 19,vaccine [23] 19,cases [19] 19,pandemic [18] positivo,covid [18] due,covid [15] #ingatpesanibu,#katadatalawancovid19 [14] penyebaran,virus [14] penyebaran,covid Top Word Pairs in Tweet in G2:
[255] covid,19 [82] positivo,covid [69] gibrán,ramírez [59] dan,positivo [57] mario,delgado [53] dirigencia,morena [44] delgado,yeidckol [43] yeidckol,polvensky [43] polvensky,gibrán [43] ramírez,aspirantes Top Word Pairs in Tweet in G3:
[229] covid,19 [21] great,bobby [21] bobby,bowden [21] bowden,one [21] one,best [21] best,coaches [21] coaches,college [21] college,football [21] football,full [21] full,recovery Top Word Pairs in Tweet in G4:
[268] covid,19 [60] casos,covid [53] contra,covid [46] 19,venezuela [39] #21oct,#independenciaproducciónysoberanía [38] venezuela,registra [37] 24,horas [36] nuevos,casos [36] últimas,24 [34] lucha,contra Top Word Pairs in Tweet in G5:
[114] covid,19 [70] msnbc,maddow [70] president,trump [69] maddow,fact [69] fact,checks [69] checks,president [69] trump,claims [69] claims,covid [69] 19,worst [69] worst,covid Top Word Pairs in Tweet in G6:
[124] covid,19 [24] 000,americans [22] 19,relief [22] relief,bill [21] trump,failed [21] failed,badly [21] badly,covid [21] 19,watch [21] watch,trump [21] trump,administration Top Word Pairs in Tweet in G7:
[132] senador,arolde [132] arolde,oliveira [132] covid,19 [125] oliveira,morreu [125] morreu,hoje [125] hoje,covid [113] infelizmente,senador [113] 19,importante [113] importante,mostrar [113] mostrar,mensagens Top Word Pairs in Tweet in G8:
[80] covid,19 [43] preserving,law [43] law,order [43] order,solving [43] solving,horrendous [43] horrendous,crimes [43] crimes,assistance [43] assistance,disaster [43] disaster,management [43] management,fighting Top Word Pairs in Tweet in G9:
[101] covid,19 [20] การท,หลายๆคนร [20] หลายๆคนร,ส [20] ส,กหดห [20] กหดห,ก [20] ก,บ [20] บ,covid [20] 19,พอพวกเขาบอกว [20] พอพวกเขาบอกว,าพวกเขาร [20] าพวกเขาร,ส Top Word Pairs in Tweet in G10:
[75] covid,19 [17] dio,positivo [16] dudes,covid [16] 19,contagiosa [16] contagiosa,hogar [16] hogar,ancianos [16] ancianos,kansas [16] kansas,residente [16] residente,dio [16] positivo,octubre Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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