The graph represents a network of 838 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 Saturday, 26 March 2022 at 08:30 UTC.
The requested start date was Saturday, 26 March 2022 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, 11-hour, 27-minute period from Saturday, 12 March 2022 at 00:41 UTC to Friday, 25 March 2022 at 12:08 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 : 838
Unique Edges : 625
Edges With Duplicates : 1578
Total Edges : 2203
Number of Edge Types : 5
Mentions : 542
Tweet : 615
Retweet : 381
MentionsInRetweet : 557
Replies to : 108
Self-Loops : 622
Reciprocated Vertex Pair Ratio : 0.0094722598105548
Reciprocated Edge Ratio : 0.0187667560321716
Connected Components : 284
Single-Vertex Connected Components : 177
Maximum Vertices in a Connected Component : 232
Maximum Edges in a Connected Component : 553
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.981333
Graph Density : 0.00106357801330471
Modularity : 0.368289
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 838 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 Saturday, 26 March 2022 at 08:30 UTC.
The requested start date was Saturday, 26 March 2022 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, 11-hour, 27-minute period from Saturday, 12 March 2022 at 00:41 UTC to Friday, 25 March 2022 at 12:08 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:
[230] stopping,station [227] next,stopping [177] station,next [152] march,2022 [136] station,#flattenthecurve [91] wisst,#flattenthecurve [91] #flattenthecurve,wochen [90] wochen,730 [90] 730,tagen [88] m_ziesmann,wisst Top Word Pairs in Tweet in G1:
[81] wisst,#flattenthecurve [79] m_ziesmann,wisst [79] #flattenthecurve,wochen [79] wochen,730 [79] 730,tagen [41] #covid19,#flattenthecurve [13] cases,declined [13] declined,stay [13] stay,aware [13] aware,use Top Word Pairs in Tweet in G2:
[39] karl_lauterbach,marga_owski [39] marga_owski,halten [39] halten,fest [39] fest,#impfpflicht [39] #impfpflicht,weder [39] weder,die [39] die,infektion [39] infektion,#longcovid [38] lottaviehler,karl_lauterbach [38] #longcovid,verhinde Top Word Pairs in Tweet in G3:
[34] zweck,sinn [34] sinn,gar [34] gar,mehr [34] mehr,angeben [34] angeben,die [34] die,regeln [34] regeln,müssen [34] müssen,bleiben [34] bleiben,wen [34] wen,die Top Word Pairs in Tweet in G4:
[2] dgurdasani1,dbetteracademia [2] dbetteracademia,morimahmoudi [2] morimahmoudi,reneebleau [2] reneebleau,suzanne_garrett [2] suzanne_garrett,evidencebase_im [2] evidencebase_im,braincures [2] braincures,marikasboros Top Word Pairs in Tweet in G5:
[18] welle,pandemie [14] siehe,#flattenthecurve [10] maßnahmen,verlängern [9] verlängern,welle [8] pandemie,siehe [4] pandemie,verlängern [4] verlängern,siehe [4] jeder,anstecken [3] pandemie,#flattenthecurve [3] die,welle Top Word Pairs in Tweet in G7:
[14] zeit,hashtag [14] hashtag,2020 [14] 2020,wieder [14] wieder,trenden [14] trenden,lassen [14] lassen,#flattenthecurve [13] nicolawerdenigg,zeit Top Word Pairs in Tweet in G8:
[150] march,2022 [84] bulletin,#nagaland [81] #nagaland,status [69] #flattenthecurve,#togetherwecan [56] #togetherwecan,#flattenthecurve [52] 19,bulletin [52] healthnagaland,#covid19 [47] #togetherwecan,#nagalandagainstcovid [46] dipr_nagaland,airnews_kohima [46] airnews_kohima,ddnewskohima Top Word Pairs in Tweet in G9:
[13] spasskultur,#flattenthecurve Top Word Pairs in Tweet in G10:
[13] breaking,dr [13] dr,fauci [13] fauci,leading [13] leading,american [13] american,unit [13] unit,ukrainian [13] ukrainian,foreign [13] foreign,legion [13] legion,aligned [13] aligned,azov Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: