The graph represents a network of 11,204 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 Saturday, 24 October 2020 at 07:31 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, 1-minute period from Wednesday, 21 October 2020 at 03:20 UTC to Friday, 23 October 2020 at 03:21 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 : 11204
Unique Edges : 6388
Edges With Duplicates : 11484
Total Edges : 17872
Number of Edge Types : 5
Retweet : 5273
MentionsInRetweet : 6234
Tweet : 3289
Replies to : 1090
Mentions : 1986
Self-Loops : 3319
Reciprocated Vertex Pair Ratio : 0.00280520646319569
Reciprocated Edge Ratio : 0.00559471858565514
Connected Components : 3434
Single-Vertex Connected Components : 987
Maximum Vertices in a Connected Component : 1583
Maximum Edges in a Connected Component : 3141
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 8.149713
Graph Density : 7.12007095819536E-05
Modularity : 0.57222
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 11,204 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 Saturday, 24 October 2020 at 07:31 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, 1-minute period from Wednesday, 21 October 2020 at 03:20 UTC to Friday, 23 October 2020 at 03:21 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:
[3536] covid,19 [150] covid,relief [143] contra,covid [127] died,covid [111] casos,covid [101] covid,cases [100] relief,bill [98] covid,deaths [98] arolde,oliveira [96] positivo,covid Top Word Pairs in Tweet in G1:
[430] covid,19 [16] during,covid [16] positivo,covid [15] covid,cases [12] protokol,kesehatan [12] penyebaran,virus [12] due,covid [12] 19,pandemic [12] casos,covid [12] positif,covid Top Word Pairs in Tweet in G2:
[112] covid,19 [15] covid,section [14] presssec,cnn [13] cnn,reporting [13] reporting,truth [13] truth,room [13] room,covid [13] covid,questions [13] questions,right [13] right,bat Top Word Pairs in Tweet in G3:
[104] covid,19 [49] hospital,español [40] positivo,covid [31] yeidckol,polevnsky [30] mario,delgado [30] polevnsky,covid [25] gibrán,ramírez [22] delgado,yeidckol [22] yeidckol,polvensky [22] polvensky,gibrán Top Word Pairs in Tweet in G4:
[29] covid,19 [26] covid,spread [23] mistaken,dangerous [23] dangerous,idea [23] idea,covid [23] spread,young [23] young,healthy [23] healthy,people [23] people,long [23] long,protect Top Word Pairs in Tweet in G5:
[44] covid,19 [23] fighting,covid [19] preserving,law [19] law,order [19] order,solving [19] solving,horrendous [19] horrendous,crimes [19] crimes,assistance [19] assistance,disaster [19] disaster,management Top Word Pairs in Tweet in G6:
[167] covid,19 [43] casos,covid [31] #21oct,#independenciaproducciónysoberanía [28] contra,covid [27] últimas,24 [27] 24,horas [25] 19,venezuela [25] venezuela,registra [23] 19,cuales [23] lucha,contra Top Word Pairs in Tweet in G7:
[51] deal,reality [38] believe,monumental [38] monumental,lethal [38] lethal,screwup [38] screwup,administration [38] administration,didn [38] didn,deal [37] thedailybeast,believe [26] trump,case [26] case,sads Top Word Pairs in Tweet in G8:
[90] covid,19 [19] 14,year [19] year,old [17] old,texas [17] texas,made [17] made,breakthrough [17] breakthrough,one [17] one,day [17] day,lead [17] lead,covid Top Word Pairs in Tweet in G9:
[45] covid,19 [24] maddow,fact [24] fact,checks [23] checks,president [23] president,trump [23] trump,claims [23] claims,covid [23] 19,worst [23] worst,covid [23] covid,outbreak Top Word Pairs in Tweet in G10:
[18] covid,19 [10] covid,relief [6] wow,dr [6] dr,fauci [6] fauci,nih [6] nih,recommends [6] recommends,against [6] against,forms [6] forms,treatment [6] treatment,covid 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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Top Tweeters in G10: