The graph represents a network of 8,713 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, 20 May 2020 at 07:18 UTC.
The requested start date was Wednesday, 20 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, 18 May 2020 at 12:22 UTC to Tuesday, 19 May 2020 at 12:23 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 : 8713
Unique Edges : 5160
Edges With Duplicates : 8081
Total Edges : 13241
Number of Edge Types : 5
Retweet : 3779
MentionsInRetweet : 4545
Tweet : 2541
Mentions : 1924
Replies to : 452
Self-Loops : 2572
Reciprocated Vertex Pair Ratio : 0.00670141474311243
Reciprocated Edge Ratio : 0.0133136094674556
Connected Components : 2853
Single-Vertex Connected Components : 663
Maximum Vertices in a Connected Component : 424
Maximum Edges in a Connected Component : 806
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.281053
Graph Density : 8.90555756325818E-05
Modularity : 0.591682
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 8,713 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, 20 May 2020 at 07:18 UTC.
The requested start date was Wednesday, 20 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, 18 May 2020 at 12:22 UTC to Tuesday, 19 May 2020 at 12:23 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:
[399] covid,19 [16] world,population [10] 30,world [9] america,world [9] population,america [9] america,30 [7] world,death [6] death,count [6] count,covid [6] 19,one Top Word Pairs in Tweet in G3:
[110] रह,ह [21] #covid_19,#lockdown4 [21] covid,19 [20] द,र [20] क,ज [20] र,स [20] कर,रह [20] ज,च [20] त,त [20] न,क Top Word Pairs in Tweet in G4:
[20] covid,19 [20] 19,dashboard [17] florida's,covid [16] data,scientist [16] scientist,designed [14] designed,florida's [14] dashboard,mobile [14] mobile,friendly [13] friendly,intuitive [13] intuitive,display Top Word Pairs in Tweet in G5:
[118] unión,venezolanos [99] venezolanos,fundamental [86] covid,19 [79] #venezuelapatriasana,unión [79] fundamental,vencer [79] etiqueta,día [79] día,#venezuelapatriasana [79] #18may,etiqueta [79] vencer,covid [79] 19,contamos Top Word Pairs in Tweet in G6:
[57] covid,19 [54] confinamento,imposto [53] imposto,joão [51] joão,dória [50] dória,registro [40] registro,até [40] até,prisão [34] prisão,senhora [33] senhora,em [32] em,praça Top Word Pairs in Tweet in G7:
[37] covid,19 [26] nicola,sturgeon [26] never,approved [26] approved,vaccine [26] vaccine,coronavirus [26] coronavirus,uk [26] uk,govt [26] govt,telling [26] telling,one [26] one,covid Top Word Pairs in Tweet in G8:
[20] covid,19 [6] appalled,factually [6] factually,incorrect [6] incorrect,statements [6] statements,kerala [6] kerala,health [6] health,minister [6] minister,smt [6] smt,shailaja [6] shailaja,ji Top Word Pairs in Tweet in G9:
[28] covid,19 [16] china,makes [16] makes,move [16] move,cripple [16] cripple,australian [16] australian,economy [16] economy,during [16] during,covid [16] 19,crisis [16] keyesen2000,venkatarat Top Word Pairs in Tweet in G10:
[10] ldog562,regvickers [3] regvickers,imundebo [3] imundebo,maryhow16 [3] maryhow16,ca_dixiemay [3] ca_dixiemay,thomoneil1 [3] thomoneil1,kristyshl [3] kristyshl,whurensohn [3] whurensohn,zazzybritches [3] zazzybritches,tslacksmarin Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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