The graph represents a network of 7,488 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 25 May 2020 at 08:10 UTC.
The requested start date was Monday, 25 May 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 Friday, 22 May 2020 at 12:14 UTC to Sunday, 24 May 2020 at 12:16 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 : 7488
Unique Edges : 4004
Edges With Duplicates : 8586
Total Edges : 12590
Number of Edge Types : 5
Retweet : 3929
MentionsInRetweet : 4591
Tweet : 2507
Mentions : 1331
Replies to : 232
Self-Loops : 2529
Reciprocated Vertex Pair Ratio : 0.00402212166918049
Reciprocated Edge Ratio : 0.00801201802704056
Connected Components : 2255
Single-Vertex Connected Components : 647
Maximum Vertices in a Connected Component : 1521
Maximum Edges in a Connected Component : 3435
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.925509
Graph Density : 0.000106862578897439
Modularity : 0.548748
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 7,488 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 25 May 2020 at 08:10 UTC.
The requested start date was Monday, 25 May 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 Friday, 22 May 2020 at 12:14 UTC to Sunday, 24 May 2020 at 12:16 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 : Coronavirus
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:
[39] क,र [15] र,न [8] ट,व [8] coronavirus,pandemic [7] क,ल [6] प,र [6] क,स [6] प,ज [5] ज,ट [5] #coronavirus,#covid19 Top Word Pairs in Tweet in G3:
[40] sunday,times [38] one,thing [33] thing,cummings [27] cummings,row [25] row,distract [23] distract,crushing [23] crushing,sunday [21] times,review [21] review,borisjohnson [21] borisjohnson,failure Top Word Pairs in Tweet in G4:
[23] 100,000 [22] lives,lost [22] coronavirus,pandemic [22] york,times [22] mississippi,church [22] church,defied [22] defied,coronavirus [22] coronavirus,restrictions [22] restrictions,burned [22] burned,ground Top Word Pairs in Tweet in G5:
[17] funder,trump [11] trump,won [10] won,wear [8] wear,mask [7] mask,cult [7] cult,thinks [7] thinks,don [7] don,need [7] need,wear [7] wear,one Top Word Pairs in Tweet in G6:
[34] covid,19 [33] growing,evidence [33] evidence,suggests [33] suggests,covid [33] 19,infection [33] infection,illnesses [33] illnesses,related [33] related,prolonged [33] prolonged,time [33] time,exposed Top Word Pairs in Tweet in G7:
[36] florida,nursing [23] nursing,home [23] home,strategy [23] strategy,spared [23] spared,widespread [23] widespread,deaths [23] deaths,seen [23] seen,ny [23] ny,nj [23] nj,news Top Word Pairs in Tweet in G8:
[25] entidades,estimam [25] estimam,ao [25] ao,50 [25] 50,mil [25] mil,brasileiros [25] brasileiros,deixaram [25] deixaram,obter [25] obter,diagnóstico [25] diagnóstico,câncer [25] câncer,dois Top Word Pairs in Tweet in G9:
[46] former,head [46] head,pandemic [46] pandemic,response [46] response,team [46] team,nsc [46] nsc,believes [46] believes,eliminating [46] eliminating,position [46] position,weakened [46] covid,19 Top Word Pairs in Tweet in G10:
[11] errores,datos [11] datos,falsos [11] falsos,presentación [11] presentación,alberto [11] alberto,fernández [11] coronavirus,errores [11] prohibieron,uso [11] uso,mascarillas [11] mascarillas,médicos [10] médicos,alarmar 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 G7:
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:
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: