The graph represents a network of 11,837 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, 15 September 2021 at 07:49 UTC.
The requested start date was Wednesday, 15 September 2021 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 2-day, 0-hour, 1-minute period from Sunday, 12 September 2021 at 12:18 UTC to Tuesday, 14 September 2021 at 12:19 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 : 11837
Unique Edges : 6701
Edges With Duplicates : 11866
Total Edges : 18567
Number of Edge Types : 5
Retweet : 5411
MentionsInRetweet : 6296
Mentions : 2380
Replies to : 1034
Tweet : 3446
Self-Loops : 3485
Reciprocated Vertex Pair Ratio : 0.00416889363976483
Reciprocated Edge Ratio : 0.00830317223759847
Connected Components : 3511
Single-Vertex Connected Components : 1002
Maximum Vertices in a Connected Component : 1545
Maximum Edges in a Connected Component : 3230
Maximum Geodesic Distance (Diameter) : 32
Average Geodesic Distance : 10.029526
Graph Density : 6.70507981243364E-05
Modularity : 0.581508
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,837 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, 15 September 2021 at 07:49 UTC.
The requested start date was Wednesday, 15 September 2021 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 2-day, 0-hour, 1-minute period from Sunday, 12 September 2021 at 12:18 UTC to Tuesday, 14 September 2021 at 12:19 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:
[2355] covid,19 [376] ซองฮ,น [360] น,enhypen [310] แล,ว [308] covid,แล [307] died,covid [295] enhypen,หายจาก [292] หายจาก,covid [269] ว,ซองฮ [189] covid,free Top Word Pairs in Tweet in G1:
[296] covid,19 [22] covid,vaccine [20] 19,vaccine [19] covid,free [17] contra,covid [15] against,covid [15] covid,test [15] covid,cases [12] positive,covid [11] vaksin,berantas Top Word Pairs in Tweet in G2:
[33] covid,19 [25] died,covid [23] covid,cases [22] million,covid [22] employees,vaccinated [22] vaccinated,against [21] fine,cities [21] cities,counties [21] counties,require [21] require,employees Top Word Pairs in Tweet in G3:
[77] covid,19 [13] vladimir,putin [13] millions,americans [13] americans,still [13] still,need [13] need,vaccinated [13] vaccinated,slow [13] slow,stop [13] stop,spread [13] spread,covid Top Word Pairs in Tweet in G4:
[17] wisconsinites,suffering [17] suffering,economic [17] economic,pain [17] pain,covid [17] covid,economy [17] economy,ron [17] ron,johnson [17] johnson,getting [17] getting,rich [17] rich,voting Top Word Pairs in Tweet in G5:
[61] covid,free [46] recovered,covid [42] jake,jungwon [42] jungwon,jay [37] sunghoon,covid [30] heeseung,jake [28] already,recovered [26] enhypen,sunghoon [26] sunghoon,heeseung [26] jay,covid Top Word Pairs in Tweet in G6:
[18] mass,civil [18] civil,disobedience [18] disobedience,campaign [18] campaign,against [18] against,vaccine [18] vaccine,mandates [18] mandates,going [18] news,qanon [18] qanon,world [18] world,today Top Word Pairs in Tweet in G7:
[72] covid,free [72] free,cutieeeeeeeeeeeeeee [71] trixieaaang,covid [31] miss,life [31] life,without [31] without,covid [30] trixieaaang,miss Top Word Pairs in Tweet in G8:
[58] covid,19 [16] 19,vaccine [14] trump,dems [14] dems,'disparaged' [14] 'disparaged',covid [14] vaccine,president [14] president,'now [14] 'now,wonder [14] wonder,why' [14] why',hesitant Top Word Pairs in Tweet in G9:
[25] tucker,carlson [18] died,covid [14] covid,19 [11] carlson,telling [11] telling,audience [11] audience,covid [11] covid,vaccines [11] vaccines,mixed [11] mixed,picture [11] picture,tucker Top Word Pairs in Tweet in G10:
[30] covid,19 [14] colleague,getting [14] getting,yelled [14] yelled,patient [14] patient,wife [14] wife,icu [14] icu,try [14] try,untested [14] untested,treatment [14] treatment,third Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: