The graph represents a network of 8,793 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 Wednesday, 27 May 2020 at 07:18 UTC.
The requested start date was Wednesday, 27 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 1-day, 0-hour, 1-minute period from Monday, 25 May 2020 at 12:16 UTC to Tuesday, 26 May 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 : 8793
Unique Edges : 5150
Edges With Duplicates : 7694
Total Edges : 12844
Number of Edge Types : 5
Retweet : 3612
MentionsInRetweet : 4270
Tweet : 2501
Mentions : 1905
Replies to : 556
Self-Loops : 2530
Reciprocated Vertex Pair Ratio : 0.00610314311870613
Reciprocated Edge Ratio : 0.0121322414316045
Connected Components : 2942
Single-Vertex Connected Components : 691
Maximum Vertices in a Connected Component : 340
Maximum Edges in a Connected Component : 644
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.056923
Graph Density : 8.5295121119072E-05
Modularity : 0.597041
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 8,793 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 Wednesday, 27 May 2020 at 07:18 UTC.
The requested start date was Wednesday, 27 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 1-day, 0-hour, 1-minute period from Monday, 25 May 2020 at 12:16 UTC to Tuesday, 26 May 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:
[383] covid,19 [14] handling,covid [9] china,virus [8] give,given [8] given,beginning [7] beginning,entire [7] entire,yearly [6] yearly,salary [6] salary,400 [6] 400,000 Top Word Pairs in Tweet in G3:
[94] covid,19 [24] क,र [18] र,क [18] fatality,rate [18] major,side [18] side,effects [18] effects,hcq [18] hcq,found [18] found,studies [18] studies,india Top Word Pairs in Tweet in G4:
[57] covid,19 [8] demostrado,correcta [8] correcta,oportuna [8] venezuela,demostrado [8] #redoblemosesfuerzoyprevención,venezuela [8] lucha,contra [8] #25may,etiqueta [8] etiqueta,día [8] día,#redoblemosesfuerzoyprevención [8] inicio,semana Top Word Pairs in Tweet in G5:
[50] covid,19 [18] 63,thousand [17] two,children [16] covid,symptoms [14] bbcbreaking,skynews [12] children,first [12] first,day [12] day,lockdown [12] lockdown,sick [8] sick,covid Top Word Pairs in Tweet in G6:
[12] covid,19 [4] nursing,homes [4] york,state [3] those,seeking [3] seeking,medical [3] medical,care [3] care,covid [3] 19,black [3] black,patients [3] patients,hospitalized Top Word Pairs in Tweet in G7:
[11] operação,placebo [10] polícia,federal [5] federal,deflagrou [4] deflagrou,manhã [4] manhã,desta [4] desta,terça [4] terça,feira [4] feira,26 [4] 26,05 [4] 05,operação Top Word Pairs in Tweet in G8:
[35] lives,stake [32] stake,need [32] need,credible [32] credible,solutions [32] solutions,calibrated [32] calibrated,attacks [32] attacks,against [32] against,anti [32] anti,covid [32] covid,strategy Top Word Pairs in Tweet in G9:
[14] covid,19 [14] closed,down [14] montana,closed [14] down,democrat [14] democrat,governor [14] governor,steve [14] steve,bullock [14] bullock,montana [14] montana,reported [14] reported,19 Top Word Pairs in Tweet in G10:
[24] chile,alcanzó [23] alcanzó,hoy [21] hoy,primer [21] primer,lugar [21] lugar,mundo [21] mundo,casos [21] casos,positivos [21] positivos,covid [21] covid,19 [21] millón,habitantes 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 G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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: