The graph represents a network of 8,307 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 Saturday, 04 April 2020 at 07:19 UTC.
The requested start date was Saturday, 04 April 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, 3-hour, 20-minute period from Wednesday, 01 April 2020 at 06:59 UTC to Friday, 03 April 2020 at 10:20 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 : 8307
Unique Edges : 8315
Edges With Duplicates : 783
Total Edges : 9098
Number of Edge Types : 4
MentionsInRetweet : 4423
Tweet : 2704
Mentions : 1721
Replies to : 250
Self-Loops : 2704
Reciprocated Vertex Pair Ratio : 0.00581395348837209
Reciprocated Edge Ratio : 0.0115606936416185
Connected Components : 2839
Single-Vertex Connected Components : 727
Maximum Vertices in a Connected Component : 494
Maximum Edges in a Connected Component : 704
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.403449
Graph Density : 9.02635617740599E-05
Modularity : 0.8061
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 8,307 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 Saturday, 04 April 2020 at 07:19 UTC.
The requested start date was Saturday, 04 April 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, 3-hour, 20-minute period from Wednesday, 01 April 2020 at 06:59 UTC to Friday, 03 April 2020 at 10:20 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:
[4812] covid,19 [265] î,î [260] ˆà,ˆà [246] ø,ø [217] ãƒ,ム[160] àª,ઠ[160] µà,ˆà [149] ø,ù [139] ù,ø [136] šà,ˆà Top Word Pairs in Tweet in G1:
[549] covid,19 [31] î,î [30] ø,ø [22] ø,ù [22] ù,ø [18] #covid,19 [13] during,covid [11] 19,cases [10] 19,pandemic [9] 19,patients Top Word Pairs in Tweet in G2:
[174] covid,19 [63] fight,against [57] against,covid [42] part,rs [42] rs,crore [42] crore,commitment [42] commitment,fight [33] fund,part [32] pm,cares [27] cares,fund Top Word Pairs in Tweet in G3:
[118] covid,19 [77] #awaninews,#hapuscovid19 [74] 19,#awaninews [69] noor,hisham [69] hisham,terpilih [69] terpilih,sertai [69] sertai,saintis [69] saintis,dunia [69] dunia,lakukan [69] lakukan,kajian Top Word Pairs in Tweet in G4:
[27] covid,19 [17] year,old [14] nhs,nurse [11] 36,year [11] old,nhs [11] nurse,believed [11] believed,underlying [11] underlying,health [7] orangutan,centre [7] centre,great Top Word Pairs in Tweet in G5:
[81] covid,19 [25] halimiskandarnu,anwsanusi [23] taufikmadjid71,fachrilabalado [18] imansyukri,taufikmadjid71 [16] anwsanusi,malik_haramain [16] malik_haramain,imansyukri [15] #relawandesalawancovid19,halimiskandarnu [14] 19,#relawandesalawancovid19 [11] pendamping,desa [9] penanganan,covid Top Word Pairs in Tweet in G6:
[38] covid,19 [6] fight,coronavirus [5] few,days [5] hilltop,town [5] town,spain [5] spain,cut [5] cut,itself [5] itself,outside [5] outside,world [5] world,fight Top Word Pairs in Tweet in G7:
[59] covid,19 [40] update,kim [40] kim,jaejoong [40] jaejoong,covid [40] 19,instagram [40] instagram,april [40] april,fool's [40] fool's,day [40] day,joke [40] joke,trying Top Word Pairs in Tweet in G8:
[6] covid,19 [4] digital,transformation [4] 90,minutes [2] jumiovoice,covid [2] 19,call [2] call,digital [2] transformation,forbes [2] forbes,أزمة [2] أزمة,الكورونا [2] الكورونا,اظهرت Top Word Pairs in Tweet in G9:
[2] bobbiejanev,mairscott3 [2] mairscott3,ldog562 [2] ldog562,bonjs0370 [2] bonjs0370,tslacksmarin [2] tslacksmarin,hondoresists [2] hondoresists,maryhow16 [2] maryhow16,jmrbux2 [2] jmrbux2,zazzybritches [2] zazzybritches,media_auntie Top Word Pairs in Tweet in G10:
[54] vs,sgp [40] covid,19 [28] km,population [28] 19,cases [27] india,vs [27] sgp,bad [27] bad,comparison [27] comparison,blr [27] blr,vs [27] sgp,bengaluru Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: