The graph represents a network of 8,919 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 03 May 2020 at 07:02 UTC.
The requested start date was Sunday, 03 May 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 2-day, 0-hour, 0-minute period from Thursday, 30 April 2020 at 12:27 UTC to Saturday, 02 May 2020 at 12:28 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 : 8919
Unique Edges : 5355
Edges With Duplicates : 8206
Total Edges : 13561
Number of Edge Types : 5
Tweet : 2749
Retweet : 3775
MentionsInRetweet : 4625
Replies to : 345
Mentions : 2067
Self-Loops : 2777
Reciprocated Vertex Pair Ratio : 0.00557921010130671
Reciprocated Edge Ratio : 0.0110965104394802
Connected Components : 3007
Single-Vertex Connected Components : 715
Maximum Vertices in a Connected Component : 310
Maximum Edges in a Connected Component : 566
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.438478
Graph Density : 8.61080063699557E-05
Modularity : 0.590114
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 8,919 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 03 May 2020 at 07:02 UTC.
The requested start date was Sunday, 03 May 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 2-day, 0-hour, 0-minute period from Thursday, 30 April 2020 at 12:27 UTC to Saturday, 02 May 2020 at 12:28 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-19
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:
[4443] covid,19 [131] 19,pandemic [91] 19,cases [89] during,covid [80] #covid,19 [76] contra,covid [72] positive,covid [65] tested,positive [64] न,क [53] क,र Top Word Pairs in Tweet in G1:
[485] covid,19 [17] 19,pandemic [12] tested,positive [12] #covid_19,#coronavirus [10] due,covid [10] coronavirus,covid [9] during,covid [9] #covid,19 [9] #evhayatdolu,#evdehayatvar [9] #evdehayatvar,#hayateversığar Top Word Pairs in Tweet in G2:
[98] covid,19 [7] matter,negative [7] negative,reports [7] reports,media [7] media,liberal [7] liberal,politicians [7] politicians,use [7] use,covid [7] 19,destroy [7] destroy,pres Top Word Pairs in Tweet in G3:
[37] covid,19 [4] coronavirus,10 [4] 10,admits [4] admits,face [4] face,coverings [4] coverings,'weak [4] 'weak,positive [4] positive,effect' [4] effect',slowing [4] slowing,covid Top Word Pairs in Tweet in G4:
[55] covid,19 [19] 19,#cubasalvavidas [18] ante,covid [16] contra,covid [16] diazcanelb,#cuba [16] #cuba,tierra [16] tierra,libre [16] libre,reino [16] reino,trabajadores [16] trabajadores,celebra Top Word Pairs in Tweet in G5:
[45] covid,19 [17] स,व [14] स,क [10] good,discussion [10] discussion,state [10] state,counsellor [10] counsellor,daw [10] daw,aung [10] aung,san [10] san,suu Top Word Pairs in Tweet in G6:
[8] muqueuse,nez [7] nez,porte [7] porte,entrée [6] #covid2019,muqueuse [6] entrée,sars [6] sars,cov [6] cov,ciblerait [6] ciblerait,priorité [6] priorité,cellules [6] cellules,muqueuse Top Word Pairs in Tweet in G7:
[37] covid,19 [6] contra,covid [5] equipos,científicos [5] mbarbosamx,asegura [5] asegura,covid [5] 19,afecta [5] afecta,gente [5] gente,acomodada [5] acomodada,sino [5] sino,co Top Word Pairs in Tweet in G8:
[23] covid,19 [6] ejecutiva,drodriven2 [4] reunión,comisión [4] comisión,presidencial [4] vicepresidenta,ejecutiva [3] pueblo,venezolano [3] venezolano,sigue [3] sigue,combatiendo [3] combatiendo,#covid_19 [3] #covid_19,conciencia Top Word Pairs in Tweet in G9:
[5] covid,19 [2] experts,find [2] find,single [2] single,child [2] child,under [2] under,10 [2] 10,passed [2] passed,covid [2] scientists,link [2] link,vitamin Top Word Pairs in Tweet in G10:
[43] covid,19 [35] 19,leads [35] leads,student [35] student,loan [35] loan,forgiveness [35] forgiveness,social [35] social,distance [35] distance,till [35] till,2022 [35] 2022,without 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: