The graph represents a network of 3,681 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 18 September 2020 at 09:00 UTC.
The requested start date was Friday, 18 September 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 13-day, 23-hour, 35-minute period from Friday, 04 September 2020 at 00:21 UTC to Thursday, 17 September 2020 at 23:57 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 : 3681
Unique Edges : 2764
Edges With Duplicates : 3128
Total Edges : 5892
Number of Edge Types : 5
Tweet : 509
Retweet : 1132
MentionsInRetweet : 1563
Replies to : 806
Mentions : 1882
Self-Loops : 554
Reciprocated Vertex Pair Ratio : 0.0189352360043908
Reciprocated Edge Ratio : 0.0371667115539995
Connected Components : 786
Single-Vertex Connected Components : 242
Maximum Vertices in a Connected Component : 975
Maximum Edges in a Connected Component : 2247
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 9.240118
Graph Density : 0.000274101437463827
Modularity : 0.63834
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 3,681 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 18 September 2020 at 09:00 UTC.
The requested start date was Friday, 18 September 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 13-day, 23-hour, 35-minute period from Friday, 04 September 2020 at 00:21 UTC to Thursday, 17 September 2020 at 23:57 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 : SARS-COV
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:
[2486] sars,cov [319] covid,19 [224] cov,sars [162] mers,cov [122] gain,function [114] function,research [113] bat,virus [112] fauci,funded [111] chapel,hill [111] bill,gates Top Word Pairs in Tweet in G1:
[365] sars,cov [44] covid,19 [37] cov,sars [28] mers,cov [18] respiratory,syndrome [17] acute,respiratory [16] severe,acute [16] coronavirus,sars [15] cov,mers [13] cov,virus Top Word Pairs in Tweet in G2:
[114] sars,cov [65] cov,19 [64] covid,19 [63] niet,meer [62] staatscourant,gisteren [62] gisteren,bekendmaking [62] bekendmaking,covid [62] 19,sars [62] 19,staat [62] staat,niet Top Word Pairs in Tweet in G3:
[131] sars,cov [112] gain,function [108] fauci,funded [108] funded,gain [108] function,research [108] research,university [108] university,north [108] north,carolina [108] carolina,chapel [108] chapel,hill Top Word Pairs in Tweet in G4:
[60] sars,cov [11] eddarrell,rcprentice [11] ghoppe,organicdot [11] covidmillion,monstatofu [11] monstatofu,monstercoyliar [11] monstercoyliar,ephesians6__12 [11] ephesians6__12,ale_battini [11] boastira,chris_f_carson [11] markmcdougall13,peterre76976220 [11] peterre76976220,kathmarval Top Word Pairs in Tweet in G5:
[108] bill,gates [54] justin,trudeau [53] trudeau,boris [53] boris,johnson [53] johnson,29 [53] 29,govs [53] govs,giving [53] giving,bill [53] gates,vaccine [53] vaccine,group Top Word Pairs in Tweet in G6:
[95] medida,conociendo [94] gente,critica [94] critica,científicos [94] científicos,ir [94] ir,cambiando [94] cambiando,posiciones [94] posiciones,medida [94] conociendo,acerca [94] acerca,algún [93] nataliavartan,gente Top Word Pairs in Tweet in G7:
[44] sars,cov [12] covid,19 [7] mers,cov [6] 2004,covid [5] human,coronavirus [5] cov,2002 [5] 2002,2004 [5] 19,china [5] 2019,ncov [5] cov,mers Top Word Pairs in Tweet in G8:
[52] sars,cov [9] case,fatality [9] fatality,rate [7] showed,patients [7] recovered,sars [7] long,lasting [6] patients,recovered [6] possess,long [6] lasting,memory [6] memory,cells Top Word Pairs in Tweet in G9:
[18] sars,cov [5] type,interferon [5] interferon,susceptibility [5] susceptibility,distinguishes [5] distinguishes,sars [5] cov,sars [5] cov,themenacherylab [4] thelonevirologi,type [3] niaidnews,awarded [3] awarded,year Top Word Pairs in Tweet in G10:
[33] sars,cov [10] 72daystar,foxnews [10] foxnews,natural [10] natural,viruses [10] viruses,zc45 [10] zc45,zxc21 [10] zxc21,used [10] used,templates [10] templates,specific [10] specific,pathogeniety Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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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 G6:
Top Mentioned in G7:
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Top Mentioned in G10:
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 G9:
Top Tweeters in G10: