The graph represents a network of 10,483 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 Wednesday, 23 September 2020 at 07:20 UTC.
The requested start date was Wednesday, 23 September 2020 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 3-day, 0-hour, 4-minute period from Saturday, 19 September 2020 at 03:13 UTC to Tuesday, 22 September 2020 at 03:17 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 : 10483
Unique Edges : 5921
Edges With Duplicates : 13383
Total Edges : 19304
Number of Edge Types : 5
Retweet : 6000
MentionsInRetweet : 7534
Tweet : 2923
Replies to : 592
Mentions : 2255
Self-Loops : 3018
Reciprocated Vertex Pair Ratio : 0.00335359463424859
Reciprocated Edge Ratio : 0.0066847712554836
Connected Components : 2608
Single-Vertex Connected Components : 788
Maximum Vertices in a Connected Component : 1876
Maximum Edges in a Connected Component : 4626
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 9.493404
Graph Density : 8.71291910765366E-05
Modularity : 0.549488
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 10,483 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 Wednesday, 23 September 2020 at 07:20 UTC.
The requested start date was Wednesday, 23 September 2020 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 3-day, 0-hour, 4-minute period from Saturday, 19 September 2020 at 03:13 UTC to Tuesday, 22 September 2020 at 03:17 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:
[7060] covid,19 [704] 19,pandemic [531] general,assembly [395] young,people [375] around,world [372] years,ago [371] two,years [369] ago,bts_twt [369] bts_twt,inspired [369] inspired,young Top Word Pairs in Tweet in G1:
[832] covid,19 [41] coronav56327011,covid [37] protokol,kesehatan [25] penyebaran,covid [24] positif,covid [23] nuevos,casos [23] pandemi,covid [21] 19,cases [20] 19,coronavirus [19] casos,covid Top Word Pairs in Tweet in G2:
[504] general,assembly [386] young,people [369] two,years [369] years,ago [369] ago,bts_twt [369] bts_twt,inspired [369] inspired,young [369] people,around [369] around,world [369] world,powerful Top Word Pairs in Tweet in G3:
[368] covid,19 [64] seguimos,avanzando [64] avanzando,combate [64] combate,covid [60] #venezuelacombatealcovid19,seguimos [59] contra,covid [52] día,#venezuelacombatealcovid19 [52] 19,hemos [49] #20sep,segunda [49] segunda,día Top Word Pairs in Tweet in G4:
[330] covid,19 [314] mechanics,logistics [314] logistics,airline [314] airline,workers [314] workers,bravely [314] bravely,worked [314] worked,covid [314] 19,pandemic [209] pandemic,time [157] time,congress Top Word Pairs in Tweet in G5:
[91] covid,19 [13] speaker,pelosi [6] many,senators [6] senators,looking [6] looking,next [6] next,election [6] election,speaker [6] pelosi,women [6] women,people [6] people,color Top Word Pairs in Tweet in G6:
[37] covid,19 [10] #urgent,need [10] #blood,covid [10] 19,convalescent [8] convalescent,plasma [8] plasma,donor [6] need,#blood [6] hospital,call [6] patient,name [6] क,र Top Word Pairs in Tweet in G7:
[142] covid,19 [134] breaking,unfortunate [134] unfortunate,death [134] death,rbg [134] rbg,ended [134] ended,covid [134] 19,pandemic [134] pandemic,officially [134] officially,vote [134] vote,person Top Word Pairs in Tweet in G8:
[99] covid,19 [26] donald,trump [21] needed,donald [21] trump,tell [21] tell,truth [21] truth,covid [21] 19,lied [21] lied,needed [20] 200,000 [19] 000,americans Top Word Pairs in Tweet in G9:
[124] covid,19 [41] positif,covid [33] menteri,agama [33] agama,fachrul [33] fachrul,razi [33] breaking,cdc [33] cdc,changes [33] changes,covid [33] 19,guidance [33] guidance,airborne Top Word Pairs in Tweet in G10:
[116] covid,19 [22] 200,000 [20] mitch,mcconnell [20] mcconnell,confirm [20] confirm,sc [20] sc,justice [20] justice,before [20] before,passing [20] passing,covid [20] 19,relief Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: