The graph represents a network of 1,215 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 Tuesday, 14 September 2021 at 09:57 UTC.
The requested start date was Tuesday, 14 September 2021 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, 12-hour, 2-minute period from Tuesday, 31 August 2021 at 00:02 UTC to Monday, 13 September 2021 at 12:05 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 : 1215
Unique Edges : 541
Edges With Duplicates : 2738
Total Edges : 3279
Number of Edge Types : 5
Retweet : 870
MentionsInRetweet : 950
Mentions : 545
Tweet : 796
Replies to : 118
Self-Loops : 819
Reciprocated Vertex Pair Ratio : 0.0170940170940171
Reciprocated Edge Ratio : 0.0336134453781513
Connected Components : 281
Single-Vertex Connected Components : 133
Maximum Vertices in a Connected Component : 551
Maximum Edges in a Connected Component : 1876
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.861762
Graph Density : 0.000726096772225273
Modularity : 0.342333
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 1,215 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 Tuesday, 14 September 2021 at 09:57 UTC.
The requested start date was Tuesday, 14 September 2021 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, 12-hour, 2-minute period from Tuesday, 31 August 2021 at 00:02 UTC to Monday, 13 September 2021 at 12:05 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:
[350] next,stopping [350] stopping,station [346] station,next [244] #wearamask,#flattenthecurve [221] #leralla,train [220] september,2021 [151] wochen,die [147] die,kurve [147] kurve,abzuflachen [147] abzuflachen,impfungen Top Word Pairs in Tweet in G1:
[143] wochen,die [143] die,kurve [143] kurve,abzuflachen [143] abzuflachen,impfungen [143] impfungen,seine [143] seine,familie [143] familie,ernähren [143] ernähren,#flattenthecurve [142] hardmanpolitics,wochen [142] #flattenthecurve,#covidzertifik Top Word Pairs in Tweet in G2:
[18] #flattenthecurve,#staynotathome [18] #staynotathome,#wirbleibennichtmehrzuhause [17] #covid19,#flattenthecurve [15] ferieninsel,vir [14] #covid19,#covid_19 [13] #covid_19,#flattenthecurve [12] cases,declined [12] declined,stay [12] stay,aware [12] aware,use Top Word Pairs in Tweet in G3:
[96] #flattenthecurve,#gehtimpfenaberdalli [96] #gehtimpfenaberdalli,fleißig [96] fleißig,betten [96] betten,umverteilt [96] umverteilt,alle [96] alle,covid [96] covid,icu [96] icu,pflichtigen [96] pflichtigen,patienten [95] traveleve2,#flattenthecurve Top Word Pairs in Tweet in G4:
[80] vaccination,one [80] one,cost [80] cost,effective [80] effective,public [80] public,health [80] health,interventions [80] interventions,#flattenthecurve [80] #flattenthecurve,ensuring [79] yednetworkke,vaccination Top Word Pairs in Tweet in G5:
[218] september,2021 [115] bulletin,#nagaland [110] covid,19 [109] healthnagaland,#covid19 [100] #nagaland,status [83] 19,bulletin [71] #togetherwecan,#nagalandagainstcovid19 [66] #togetherwecan,#flattenthecurve [66] fresh,positive [62] 2021,dimapur Top Word Pairs in Tweet in G6:
[39] one,mask [39] mask,enough [39] enough,protect [39] protect,yourself [39] yourself,#covid19 [39] #covid19,use [39] use,double [39] double,masking [39] masking,better [39] better,protection Top Word Pairs in Tweet in G7:
[9] #getvaccinated,vaccines [9] vaccines,help [9] help,boost [9] boost,body's [9] body's,immunity [9] immunity,against [9] against,viruses [9] viruses,pathogen [9] pathogen,causing [9] causing,germs Top Word Pairs in Tweet in G8:
[41] mask,mandate [23] sign,#retweet [23] #retweet,#petition [23] #petition,mask [23] mandate,protect [22] protect,nc [20] nc,residents [19] residents,reinstate [19] reinstate,mask [18] mandate,nc_governor Top Word Pairs in Tweet in G9:
[12] testing,numbers [8] please,tested [7] many,months [7] months,same [7] same,requests [7] requests,please [7] numbers,higher [7] higher,again [6] know,many [6] tested,testing Top Word Pairs in Tweet in G10:
[23] democratic,governments [23] governments,mobilize [23] mobilize,publics [23] publics,defeat [23] defeat,#covid19 [23] #covid19,wrote [23] wrote,article [23] article,shaped [23] shaped,danish [22] m_b_petersen,democratic Top Replied-To in Entire Graph:
Top Replied-To in G6:
Top Replied-To in G7:
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Top Replied-To in G9:
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 G9:
Top Tweeters in G10: