The graph represents a network of 11,826 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, 13 October 2021 at 07:53 UTC.
The requested start date was Wednesday, 13 October 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 4-day, 0-hour, 1-minute period from Friday, 08 October 2021 at 12:18 UTC to Tuesday, 12 October 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 : 11826
Unique Edges : 6654
Edges With Duplicates : 11641
Total Edges : 18295
Number of Edge Types : 5
Retweet : 5339
MentionsInRetweet : 6069
Tweet : 3394
Replies to : 1016
Mentions : 2477
Self-Loops : 3432
Reciprocated Vertex Pair Ratio : 0.00408470385897022
Reciprocated Edge Ratio : 0.00813617385718874
Connected Components : 3462
Single-Vertex Connected Components : 960
Maximum Vertices in a Connected Component : 1709
Maximum Edges in a Connected Component : 3595
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 10.888547
Graph Density : 6.67965986007825E-05
Modularity : 0.584054
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 11,826 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, 13 October 2021 at 07:53 UTC.
The requested start date was Wednesday, 13 October 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 4-day, 0-hour, 1-minute period from Friday, 08 October 2021 at 12:18 UTC to Tuesday, 12 October 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:
[2423] covid,19 [249] contra,covid [204] covid,vaccine [196] 19,vaccine [113] public,health [112] against,covid [103] covid,cases [101] due,covid [93] long,covid [89] vaccine,mandates Top Word Pairs in Tweet in G1:
[369] covid,19 [30] contra,covid [27] 19,vaccine [14] covid,vaccine [12] covid,deaths [12] anti,covid [10] covid,cases [9] vaccine,mandate [9] covid,test [9] covid,pill Top Word Pairs in Tweet in G2:
[57] covid,19 [23] covid,cases [19] people,died [18] one,worst [17] 40,000 [16] 160,000 [16] long,covid [16] sajid,javid [15] covid,report [15] public,health Top Word Pairs in Tweet in G3:
[27] steve,barclay [23] covid,19 [14] public,health [14] covid,response [14] created,country [14] country,people [14] people,charge [14] charge,stand [14] stand,accused [14] accused,such Top Word Pairs in Tweet in G4:
[54] 271,health [41] covid,19 [27] health,care [27] care,workers [27] workers,received [27] received,2mg [27] 2mg,kg [27] kg,ivermectin [27] ivermectin,once [27] once,weekly Top Word Pairs in Tweet in G5:
[36] covid,vaccine [32] fact,thousands [32] thousands,southwest [32] southwest,employees [32] employees,walked [32] walked,job [32] job,protesting [32] protesting,covid [32] vaccine,mandate [32] mandate,forcing Top Word Pairs in Tweet in G6:
[46] covid,19 [20] covid,isn [20] isn,over [20] over,154 [20] 154,people [20] people,died [20] died,yesterday [20] yesterday,united [20] united,states [20] states,agree Top Word Pairs in Tweet in G7:
[20] covid,response [13] words,'corporate [13] 'corporate,manslaughter' [13] manslaughter',major [13] major,part [13] part,public [13] public,debate [13] debate,covid [12] campbellclaret,words [11] long,covid Top Word Pairs in Tweet in G8:
[24] same,time [22] acknowledge,#longcovid [22] #longcovid,massive [22] massive,problem [22] problem,healthcare [22] healthcare,same [22] time,enact [22] enact,policy [22] policy,discourages [21] dr2nisreenalwan,acknowledge Top Word Pairs in Tweet in G9:
[31] covid,passports [23] removed,restrictions [21] life,back [21] back,normal [19] covid,passport [18] covid,19 [17] restrictions,covid [15] reminder,life [15] normal,scandinavia [15] scandinavia,covid Top Word Pairs in Tweet in G10:
[26] 100,200 [23] fact,between [23] between,100 [19] vaccinated,staff [19] staff,ones [19] ones,covid [19] covid,right [19] right,unvaccinated [18] bluegrass1111,vaccinated [16] communism,come Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: