The graph represents a network of 11,318 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, 21 October 2020 at 07:45 UTC.
The requested start date was Wednesday, 21 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 0-hour, 1-minute period from Saturday, 17 October 2020 at 03:20 UTC to Tuesday, 20 October 2020 at 03:21 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 : 11318
Unique Edges : 6135
Edges With Duplicates : 12184
Total Edges : 18319
Number of Edge Types : 5
Retweet : 5613
MentionsInRetweet : 6519
Tweet : 2969
Replies to : 1025
Mentions : 2193
Self-Loops : 2997
Reciprocated Vertex Pair Ratio : 0.00268499624100526
Reciprocated Edge Ratio : 0.00535561268209083
Connected Components : 3119
Single-Vertex Connected Components : 842
Maximum Vertices in a Connected Component : 2264
Maximum Edges in a Connected Component : 4702
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 8.543154
Graph Density : 7.28886384179056E-05
Modularity : 0.571889
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 11,318 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, 21 October 2020 at 07:45 UTC.
The requested start date was Wednesday, 21 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 0-hour, 1-minute period from Saturday, 17 October 2020 at 03:20 UTC to Tuesday, 20 October 2020 at 03:21 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:
[3333] covid,19 [181] dr,fauci [167] anthony,fauci [159] covid,free [130] covid,relief [129] contra,covid [128] covid,cases [124] many,many [117] white,house [111] 19,cases Top Word Pairs in Tweet in G1:
[375] covid,19 [24] protokol,kesehatan [15] 19,pandemic [14] 19,vaccine [13] casos,covid [10] pandemi,covid [10] penyebaran,covid [10] due,covid [10] covid,test [10] during,covid Top Word Pairs in Tweet in G2:
[63] covid,19 [27] big,man [27] man,joebiden [27] joebiden,payments [27] payments,china [27] china,wonder [27] wonder,won [27] won,criticize [27] criticize,chinese [27] chinese,government Top Word Pairs in Tweet in G3:
[168] covid,19 [24] gracias,esfuerzos [23] día,#venezuelavenciendoalcovid19 [22] contra,covid [22] esfuerzos,gobierno [21] #venezuelavenciendoalcovid19,gracias [21] gobierno,nacional [20] etiqueta,día [19] #18octu,etiqueta [15] mippcivzla,#notimippci Top Word Pairs in Tweet in G4:
[89] dr,anthony [89] anthony,fauci [81] death,threats [79] power,walks [78] once,avid [78] avid,runner [78] runner,dr [78] fauci,79 [78] 79,power [78] walks,receiving Top Word Pairs in Tweet in G5:
[62] covid,19 [13] jan,andolan [13] 19,appropriate [13] appropriate,behaviour [11] andolan,covid [10] behaviour,pledge [8] nss,volunteers [8] volunteers,arunachal [8] arunachal,pradesh [8] pradesh,participated Top Word Pairs in Tweet in G6:
[114] many,many [58] white,house [57] anthony,fauci [57] fauci,confirms [57] confirms,white [57] house,stopped [57] stopped,going [57] going,many [57] many,shows [57] shows,talk Top Word Pairs in Tweet in G7:
[56] covid,19 [52] covid,money [51] auditor,iowa [51] iowa,misallocated [51] misallocated,21 [51] 21,million [51] million,covid [51] 19,funds [51] funds,iowa [51] iowa,republican Top Word Pairs in Tweet in G8:
[38] dr,fauci [28] covid,19 [19] sen,alexander [19] alexander,tenn [19] tenn,sticking [19] sticking,dr [19] fauci,dr [19] fauci,one [19] one,country [19] country,distinguished Top Word Pairs in Tweet in G9:
[103] america,adapting [103] adapting,covid [103] covid,instead [103] instead,actively [103] actively,trying [103] trying,over [103] over,come [102] skinny_que,america Top Word Pairs in Tweet in G10:
[34] covid,19 [24] never,seen [23] doctor,34 [23] 34,years [23] years,never [23] seen,amount [23] amount,suffering [23] suffering,seen [23] seen,short [23] short,period 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 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: