The graph represents a network of 8,403 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 06 June 2020 at 07:02 UTC.
The requested start date was Saturday, 06 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 2-day, 0-hour, 1-minute period from Wednesday, 03 June 2020 at 12:16 UTC to Friday, 05 June 2020 at 12:18 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 : 8403
Unique Edges : 4956
Edges With Duplicates : 7788
Total Edges : 12744
Number of Edge Types : 5
Replies to : 438
Mentions : 1864
Tweet : 2334
Retweet : 3689
MentionsInRetweet : 4419
Self-Loops : 2362
Reciprocated Vertex Pair Ratio : 0.00569055675176869
Reciprocated Edge Ratio : 0.0113167150940511
Connected Components : 2742
Single-Vertex Connected Components : 730
Maximum Vertices in a Connected Component : 835
Maximum Edges in a Connected Component : 1742
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.0174
Graph Density : 9.2617764996649E-05
Modularity : 0.591518
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 8,403 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 06 June 2020 at 07:02 UTC.
The requested start date was Saturday, 06 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 2-day, 0-hour, 1-minute period from Wednesday, 03 June 2020 at 12:16 UTC to Friday, 05 June 2020 at 12:18 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
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:
[416] covid,19 [52] covid,cases [42] 19,pandemic [38] cases,increasing [19] conduct,exams [16] write,exams [14] president,realdonaldtrump [13] #canceltsexamspromotestudents,#cancelapexamspromotestudents [13] exams,covid [12] conducting,exams Top Word Pairs in Tweet in G3:
[77] thank,montana [22] montana,bankers [14] bankers,working [14] working,overtime [12] overtime,help [10] help,small [9] small,businesses [9] businesses,stay [9] stay,open [8] open,workers Top Word Pairs in Tweet in G4:
[108] covid,19 [108] boris,johnson [108] johnson,ropes [108] ropes,keir_starmer [108] keir_starmer,quizzes [108] quizzes,rate [108] rate,infection [108] infection,covid [108] covid,alert [108] alert,level Top Word Pairs in Tweet in G5:
[22] tomorrow,thursday [7] thursday,4th [7] 4th,june [7] june,10 [7] 10,onwards [7] onwards,join [7] join,conversation [7] conversation,mr [7] mr,rajiv [7] rajiv,bajaj Top Word Pairs in Tweet in G6:
[30] covid,19 [30] epidemia,covid [30] mã,ximo [30] mã,xico [30] alfaro,tener [30] œla,epidemia [30] covid,estã [30] estã,mã [30] ximo,nivel [30] nivel,intensidad Top Word Pairs in Tweet in G7:
[26] battling,covid [12] covid,19 [9] 19,race [8] race,war [8] war,sexual [7] sexual,assault [7] assault,same [7] same,time [6] time,lot [6] nobodybutme32,battling Top Word Pairs in Tweet in G8:
[68] covid,19 [68] today,three [68] three,authors [68] authors,retracted [68] retracted,hydroxychloroquine [68] hydroxychloroquine,chloroquine [68] chloroquine,without [68] without,macrolide [68] macrolide,treatment [67] taking,hydroxychloroquine Top Word Pairs in Tweet in G9:
[15] covid,19 [6] casos,covid [6] pdte,nicolasmaduro [6] 31,casos [6] 19,transmisión [6] casos,importados [6] transmisión,comunitaria [6] comunitaria,104 [6] nuevos,casos [5] presidente,nicolasmaduro Top Word Pairs in Tweet in G10:
[54] law,enforcement [16] breaking,law [15] enforcement,officials [12] officials,seized [12] seized,thousands [12] thousands,cloth [11] cloth,masks [11] masks,mailed [10] mailed,four [10] four,different Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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