The graph represents a network of 8,137 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 Thursday, 04 June 2020 at 08:40 UTC.
The requested start date was Thursday, 04 June 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 1-day, 0-hour, 1-minute period from Tuesday, 02 June 2020 at 12:18 UTC to Wednesday, 03 June 2020 at 12:20 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 : 8137
Unique Edges : 4741
Edges With Duplicates : 7792
Total Edges : 12533
Number of Edge Types : 5
Tweet : 2429
Replies to : 302
Mentions : 1867
Retweet : 3616
MentionsInRetweet : 4319
Self-Loops : 2455
Reciprocated Vertex Pair Ratio : 0.00917874396135266
Reciprocated Edge Ratio : 0.0181905217807563
Connected Components : 2730
Single-Vertex Connected Components : 842
Maximum Vertices in a Connected Component : 366
Maximum Edges in a Connected Component : 704
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.763152
Graph Density : 9.46639100391054E-05
Modularity : 0.580955
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 8,137 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 Thursday, 04 June 2020 at 08:40 UTC.
The requested start date was Thursday, 04 June 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 1-day, 0-hour, 1-minute period from Tuesday, 02 June 2020 at 12:18 UTC to Wednesday, 03 June 2020 at 12:20 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 G2:
[678] covid,19 [18] 19,cases [18] 19,pandemic [15] exams,important [14] amid,covid [12] positive,covid [12] pandemic,better [12] better,postpone [10] many,students [10] please,cancel Top Word Pairs in Tweet in G3:
[106] covid,19 [16] took,months [15] months,figure [11] figure,testing [11] testing,centers [9] centers,covid [8] matthewacherry,took [8] riverside,county [8] county,held [8] held,2nd Top Word Pairs in Tweet in G4:
[174] covid,19 [172] 19,ang [172] ang,mga [172] sa,panahong [172] panahong,ang [172] mga,pilipino'y [171] pilipino'y,nagkakasakit [2] nagkakasakit,nawawalan [2] nawawalan,ng [2] ng,trabaho Top Word Pairs in Tweet in G5:
[112] covid,19 [105] basic,psychosocial [104] psychosocial,skills [102] skills,guide [102] guide,essential [102] essential,workers [102] workers,during [102] during,#covid19 [102] #covid19,help [102] help,use Top Word Pairs in Tweet in G6:
[41] covid,19 [11] eli,lilly [11] lilly,company [11] company,started [11] started,first [11] first,human [11] human,trial [11] trial,antibody [11] antibody,therapy [11] therapy,designed Top Word Pairs in Tweet in G7:
[21] covid,19 [17] affected,covid [17] bame,communities [17] communities,disproportionately [17] disproportionately,affected [17] 19,need [17] need,findings [17] findings,review [17] review,published [17] keir_starmer,bame Top Word Pairs in Tweet in G8:
[37] covid,19 [16] transmisión,comunitaria [9] nuevos,casos [9] día,hoy [9] casos,covid [9] 19,transmisión [9] científicos,peruanos [9] peruanos,trabajan [9] trabajan,prueba [8] prueba,molecular Top Word Pairs in Tweet in G9:
[34] covid,19 [11] everyone,understand [8] understand,senate [7] senate,doing [7] doing,right [7] right,senators [6] senators,responding [6] responding,covid [6] 19,passing [6] vanitaguptacr,everyone Top Word Pairs in Tweet in G10:
[39] allanó,domicilio [35] domicilio,prefecto [35] prefecto,carlos [35] carlos,luis [35] #samborondón,dentro [35] #urgente,#fuerzadetarea [35] ejecuta,órdenes [35] órdenes,allanamiento [35] allanamiento,detenciones [34] detenciones,simultáneas 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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