The graph represents a network of 7,946 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, 21 June 2020 at 07:02 UTC.
The requested start date was Sunday, 21 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, 2-minute period from Thursday, 18 June 2020 at 12:15 UTC to Friday, 19 June 2020 at 12:17 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 : 7946
Unique Edges : 4278
Edges With Duplicates : 7941
Total Edges : 12219
Number of Edge Types : 5
Retweet : 3664
MentionsInRetweet : 4234
Tweet : 2453
Replies to : 246
Mentions : 1622
Self-Loops : 2488
Reciprocated Vertex Pair Ratio : 0.0062143966856551
Reciprocated Edge Ratio : 0.0123520329387545
Connected Components : 2746
Single-Vertex Connected Components : 801
Maximum Vertices in a Connected Component : 264
Maximum Edges in a Connected Component : 528
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.628442
Graph Density : 9.23318618421355E-05
Modularity : 0.56302
NodeXL Version : 1.0.1.434
Data Import : The graph represents a network of 7,946 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, 21 June 2020 at 07:02 UTC.
The requested start date was Sunday, 21 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, 2-minute period from Thursday, 18 June 2020 at 12:15 UTC to Friday, 19 June 2020 at 12:17 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 G2:
[679] covid,19 [22] contra,covid [13] comisión,presidencial [12] presidencial,prevención [12] casos,covid [11] prevención,lucha [11] lucha,contra [9] 19,observamos [9] observamos,preocupación [9] preocupación,incremento Top Word Pairs in Tweet in G3:
[130] 10,weeks [31] weeks,clapping [26] clapping,nhs [24] nhs,tories [23] tories,quietly [22] quietly,announced [22] announced,terminating [22] terminating,student [22] student,nurse [22] nurse,contracts Top Word Pairs in Tweet in G4:
[129] covid,19 [129] best,wishes [129] wishes,first [129] first,president [129] president,kazakhstan [129] kazakhstan,elbasy [129] elbasy,nursultan [129] nursultan,nazarbayev [129] nazarbayev,early [129] early,recovery Top Word Pairs in Tweet in G5:
[51] covid,19 [24] enforce,arizona [24] gop,sheriff [24] tested,positive [24] 19,deaths [24] sheriff,vowed [24] vowed,enforce [24] arizona,lockdown [24] lockdown,tested [24] positive,covid Top Word Pairs in Tweet in G6:
[59] dad,beat [16] beat,covid [11] covid,19 [11] shmoneytay,dad Top Word Pairs in Tweet in G7:
[53] covid,19 [53] today,senate [53] senate,vote [52] vote,additional [] additional,covid [] 19,relief [] relief,vote [] vote,oversight [] oversight,administration [] senkamalaharris,today Top Word Pairs in Tweet in G8:
[50] seguinte,gente [29] gente,eu [29] eu,preciso [29] preciso,máximo [29] máximo,ajuda [29] ajuda,conseguir [29] conseguir,agr [29] agr,mãe [29] mãe,crianças [28] crianças,acabou Top Word Pairs in Tweet in G9:
[47] wearing,cdc [47] cdc,recommended [47] recommended,face [47] face,covering [47] covering,re [47] re,still [47] still,middle [47] middle,global [47] global,covid [47] covid,19 Top Word Pairs in Tweet in G10:
[45] arizona,sheriff [45] sheriff,refused [45] refused,enforce [45] enforce,governor [45] governor,stay [45] stay,home [45] home,order [45] order,believed [45] believed,unconstitutional [45] nbcnews,arizona Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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: