The graph represents a network of 8,064 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 Tuesday, 30 June 2020 at 08:41 UTC.
The requested start date was Tuesday, 30 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 Sunday, 28 June 2020 at 12:13 UTC to Monday, 29 June 2020 at 12:15 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 : 8064
Unique Edges : 4476
Edges With Duplicates : 7929
Total Edges : 12405
Number of Edge Types : 5
Retweet : 3720
MentionsInRetweet : 4324
Replies to : 493
Tweet : 2287
Mentions : 1581
Self-Loops : 2316
Reciprocated Vertex Pair Ratio : 0.0048348106365834
Reciprocated Edge Ratio : 0.00962309542902967
Connected Components : 2532
Single-Vertex Connected Components : 681
Maximum Vertices in a Connected Component : 558
Maximum Edges in a Connected Component : 1135
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.377253
Graph Density : 9.58935240142607E-05
Modularity : 0.579356
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 8,064 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 Tuesday, 30 June 2020 at 08:41 UTC.
The requested start date was Tuesday, 30 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 Sunday, 28 June 2020 at 12:13 UTC to Monday, 29 June 2020 at 12:15 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 Entire Graph:
[2725] covid,19 [218] 19,cases [185] covid,cases [87] rise,covid [84] diagnosed,covid [82] think,anything [82] anything,seen [82] seen,perfectly [82] perfectly,captures [82] captures,way Top Word Pairs in Tweet in G1:
[377] covid,19 [16] 19,pandemic [15] during,covid [13] 19,cases [10] positive,covid [8] 19,patients [8] contra,covid [8] #todoscontraocoronavirus,#umanoticiaboa [8] #umanoticiaboa,#paracompartilhar [7] #covid,19 Top Word Pairs in Tweet in G2:
[85] covid,19 [77] rise,covid [55] covid,cases [54] destroy,property [53] due,rise [53] cases,ask [53] ask,protesters [53] protesters,work [53] work,home [53] home,destroy Top Word Pairs in Tweet in G3:
[43] covid,19 [9] covid,care [8] क,स [7] neet,jee [7] drrpnishank,pmoindia [6] due,covid [6] against,covid [6] indira,ji [6] ji,congress [6] congress,president Top Word Pairs in Tweet in G4:
[56] covid,19 [17] million,americans [13] 45,million [13] lost,jobs [12] americans,lost [12] jobs,billionaires [12] billionaires,made [12] made,584 [12] 584,billion [12] recovery,rate Top Word Pairs in Tweet in G5:
[68] florida,more [68] more,covid [68] covid,19 [68] 19,cases [68] cases,europe [67] nathanlerner,florida [33] reporters,please [33] please,stop [33] stop,asking [33] asking,proudly Top Word Pairs in Tweet in G6:
[80] think,anything [80] anything,seen [80] seen,perfectly [80] perfectly,captures [80] captures,way [80] way,going [80] going,getting [80] getting,top [80] top,covid [79] brynntannehill,think Top Word Pairs in Tweet in G7:
[69] covid,19 [67] boyfriend,diagnosed [67] diagnosed,covid [67] 19,yesterday [67] yesterday,asked [67] asked,needed [67] needed,anything [67] anything,deadass [67] deadass,asked [67] asked,booty Top Word Pairs in Tweet in G8:
[46] covid,19 [9] #somoscuba,#somoscontinuidad [8] nuevos,casos [7] casos,comunitarios [7] tenemos,obra [7] obra,revolución [7] revolución,delante [7] delante,defenderla [7] defenderla,pasión [7] pasión,#somoscuba Top Word Pairs in Tweet in G9:
[56] bradley,county [56] county,jail [51] masks,cleaning [46] heartbreaking,signs [46] signs,held [46] held,inside [46] inside,bradley [46] jail,today [46] today,inmates [46] inmates,being Top Word Pairs in Tweet in G10:
[17] covid,care [10] world's,largest [10] largest,covid [8] covid,centre [7] central,govt [7] care,centre [6] hospital,#builtbyaap [5] uttar,pradesh [5] 10,000 [5] delhi,govt Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G8:
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: