The graph represents a network of 5,129 Twitter users whose tweets in the requested range contained "#FlattenTheCurve", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 July 2020 at 07:59 UTC.
The requested start date was Friday, 03 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 4-day, 21-hour, 53-minute period from Saturday, 27 June 2020 at 14:16 UTC to Thursday, 02 July 2020 at 12:10 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 : 5129
Unique Edges : 2813
Edges With Duplicates : 6961
Total Edges : 9774
Number of Edge Types : 5
Replies to : 383
Mentions : 1357
Retweet : 2898
MentionsInRetweet : 3549
Tweet : 1587
Self-Loops : 1647
Reciprocated Vertex Pair Ratio : 0.00866363439462855
Reciprocated Edge Ratio : 0.0171784410564741
Connected Components : 1290
Single-Vertex Connected Components : 668
Maximum Vertices in a Connected Component : 656
Maximum Edges in a Connected Component : 1582
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.933026
Graph Density : 0.000177062063960429
Modularity : 0.519863
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 5,129 Twitter users whose tweets in the requested range contained "#FlattenTheCurve", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 July 2020 at 07:59 UTC.
The requested start date was Friday, 03 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 4-day, 21-hour, 53-minute period from Saturday, 27 June 2020 at 14:16 UTC to Thursday, 02 July 2020 at 12:10 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 : #FlattenTheCurve
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:
[418] way,#flattenthecurve [413] quickest,way [411] #ubi,quickest [410] #flattenthecurve,pass [316] jenfl23,#ubi [248] covid,19 [184] wear,mask [144] school,strike [144] #climatestrikeonline,#stayathome [144] #fridaysforfuture,#schoolstrike4climate Top Word Pairs in Tweet in G1:
[56] covid,19 [40] #covid19,#flattenthecurve [36] social,distancing [31] wear,mask [26] #wearamask,#flattenthecurve [25] #covid19,#coronavirus [25] #flattenthecurve,#socialdistancing [21] #flattenthecurve,#covid19 [21] #flattenthecurve,#wearamask [19] #staysafe,#flattenthecurve Top Word Pairs in Tweet in G2:
[385] #ubi,quickest [385] quickest,way [385] way,#flattenthecurve [385] #flattenthecurve,pass [315] jenfl23,#ubi [33] long,system [33] system,values [33] values,profit [33] profit,above [33] above,#covid19 Top Word Pairs in Tweet in G3:
[36] dougducey,azdhs [32] #arizona,deep [32] deep,#covid19 [32] #covid19,crisis [32] crisis,hospitals [32] hospitals,requested [32] requested,permission [32] permission,dougducey [32] azdhs,go [31] hiral4congress,#arizona Top Word Pairs in Tweet in G4:
[144] school,strike [144] #climatestrikeonline,#stayathome [144] #fridaysforfuture,#schoolstrike4climate [136] #stayathome,#fridaysforfuture [135] strike,week [132] #schoolstrike4climate,#flattenthecurve [129] gretathunberg,school [122] week,97 [122] 97,#climatestrikeonline [10] climate,justice Top Word Pairs in Tweet in G5:
[79] city,denton [79] denton,require [79] require,face [79] face,masks [79] masks,businesses [79] businesses,aug [79] aug,great [79] great,job [79] job,cityofdentontx [78] judgeclayj,city Top Word Pairs in Tweet in G6:
[55] #flattenthecurve,#inthistogether [49] #necovid19,#inthistogether [42] #inthistogether,nedhhs [35] face,masks [35] masks,101 [35] 101,ways [35] ways,help [35] help,stop [35] stop,spread [35] spread,covid19 Top Word Pairs in Tweet in G7:
[103] #gautengcovid19,#flattenthecurve [47] covid,19 [31] gp_commsafety,covid [26] nutrition,tips [25] 19,nutrition [25] tips,#gautengcovid19 [15] #pienaarspoort,pretoria [12] #preparationforserviceresumption,#flattenthecurve [11] minster,transport [11] transport,koedoespoort Top Word Pairs in Tweet in G8:
[69] don,leave [68] ve,face [68] face,covering [68] covering,tips [68] tips,don [68] leave,chin [68] chin,dangling [67] miamidadecounty,ve [31] six,feet [19] personal,decisions Top Word Pairs in Tweet in G9:
[14] public,health [11] thread,#covid19behindbars [11] #covid19behindbars,ongoing [11] ongoing,public [11] health,human [11] human,rights [11] rights,crisis [11] crisis,gavinnewsom [11] gavinnewsom,know [11] know,prisons Top Word Pairs in Tweet in G10:
[16] #besafetho,#flattenthecurve [7] behave,muck [7] muck,#besafetho [7] covid,19 [6] locksmithbar,behave [5] fellow,restauranteurs [5] restauranteurs,announce [5] announce,re [5] re,going [5] going,live Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: