The graph represents a network of 10,075 Twitter users whose tweets in the requested range contained "vaccine OR vaccination", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 04 July 2022 at 01:58 UTC.
The requested start date was Monday, 04 July 2022 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, 14-minute period from Thursday, 30 June 2022 at 11:47 UTC to Sunday, 03 July 2022 at 12:02 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 : 10075
Unique Edges : 5790
Edges With Duplicates : 12101
Total Edges : 17891
Number of Edge Types : 5
Retweet : 5508
MentionsInRetweet : 6327
Replies to : 1501
Mentions : 2952
Tweet : 1603
Self-Loops : 1677
Reciprocated Vertex Pair Ratio : 0.00665342601787488
Reciprocated Edge Ratio : 0.0132189010555391
Connected Components : 1619
Single-Vertex Connected Components : 443
Maximum Vertices in a Connected Component : 5126
Maximum Edges in a Connected Component : 11103
Maximum Geodesic Distance (Diameter) : 40
Average Geodesic Distance : 8.792583
Graph Density : 9.98762999954185E-05
Modularity : 0.578849
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 10,075 Twitter users whose tweets in the requested range contained "vaccine OR vaccination", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 04 July 2022 at 01:58 UTC.
The requested start date was Monday, 04 July 2022 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, 14-minute period from Thursday, 30 June 2022 at 11:47 UTC to Sunday, 03 July 2022 at 12:02 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 : vaccine OR vaccination
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:
[850] covid,vaccine [791] covid,19 [523] vaccine,mandates [483] jair,bolsonaro [483] bolsonaro,explains [483] explains,didn [483] didn,covid [483] vaccine,approach [483] approach,virus [482] tuckercarlson,jair Top Word Pairs in Tweet in G1:
[163] covid,19 [110] contre,covid [108] vaccination,covid [104] vaccination,contre [95] nouvelle,étude [91] étude,documents [91] documents,pfizer [91] pfizer,prouvent [91] prouvent,vaccination [91] 19,provoquer Top Word Pairs in Tweet in G2:
[467] jair,bolsonaro [467] bolsonaro,explains [467] explains,didn [467] didn,covid [467] covid,vaccine [467] vaccine,approach [467] approach,virus [466] tuckercarlson,jair [6] accepted,michigan [6] michigan,ross Top Word Pairs in Tweet in G3:
[70] covid,19 [33] covid,vaccine [32] 19,vaccine [16] 18,45 [12] 19,vaccination [9] vaccine,mandates [8] dose1,18 [8] dose2,18 [7] covid,vaccination [7] vaccine,mandate Top Word Pairs in Tweet in G4:
[8] time,square [8] square,nyc [8] nyc,children's [8] children's,vaccine [8] vaccine,site [8] site,kids [8] kids,age [8] age,years [8] years,old [8] old,till Top Word Pairs in Tweet in G5:
[68] italian,study [68] study,vaccine [68] vaccine,effectiveness [68] effectiveness,ve [68] ve,kids [68] kids,reports [68] reports,effectiveness [68] effectiveness,dropping [68] dropping,21 [68] 21,43 Top Word Pairs in Tweet in G6:
[137] vaccine,mandates [104] opposed,vaccine [93] retweet,100 [93] 100,opposed [93] mandates,together [92] wchrisnunn,retweet [21] 2022,million [21] million,canadians [21] canadians,good [21] good,reason Top Word Pairs in Tweet in G7:
[160] vaccine,mandates [120] covid,19 [116] 19,vaccine [114] mandates,straightforward [114] straightforward,violations [114] violations,medical [114] medical,ethics [114] ethics,failure [114] failure,matter [114] strauss_matt,covid Top Word Pairs in Tweet in G8:
[56] petite,analyse [56] analyse,rapide [56] rapide,données [56] données,vaers [56] vaers,18 [56] 18,ans [56] ans,bdd [56] bdd,juin [56] juin,contenant [56] contenant,même Top Word Pairs in Tweet in G9:
[68] covid,vaccine [49] breaking,report [48] guardsmen,women [47] chuckcallesto,breaking [37] report,more [37] more,500 [37] 500,flights [37] flights,united [37] united,states [37] states,canceled Top Word Pairs in Tweet in G10:
[35] covid,vaccines [33] ons,estimate [33] estimate,30 [33] 30,people [33] people,currently [33] currently,covid [33] vaccines,stop [33] stop,transmission [33] transmission,before [33] before,smart Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: