The graph represents a network of 10,141 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 April 2022 at 01:33 UTC.
The requested start date was Monday, 04 April 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, 17-minute period from Thursday, 31 March 2022 at 11:45 UTC to Sunday, 03 April 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 : 10141
Unique Edges : 5858
Edges With Duplicates : 11992
Total Edges : 17850
Number of Edge Types : 5
Retweet : 5378
MentionsInRetweet : 6476
Mentions : 2718
Tweet : 1958
Replies to : 1320
Self-Loops : 2002
Reciprocated Vertex Pair Ratio : 0.00810208628721896
Reciprocated Edge Ratio : 0.016073940124573
Connected Components : 1949
Single-Vertex Connected Components : 621
Maximum Vertices in a Connected Component : 4753
Maximum Edges in a Connected Component : 10453
Maximum Geodesic Distance (Diameter) : 30
Average Geodesic Distance : 10.026189
Graph Density : 9.68007893436276E-05
Modularity : 0.585018
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 10,141 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 April 2022 at 01:33 UTC.
The requested start date was Monday, 04 April 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, 17-minute period from Thursday, 31 March 2022 at 11:45 UTC to Sunday, 03 April 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:
[885] covid,19 [382] 19,vaccine [327] infected,yourself [308] getting,infected [289] covid,vaccine [286] vaccination,getting [283] potent,vaccination [201] yourself,dr [177] best,vaccination [174] johnson,johnson Top Word Pairs in Tweet in G1:
[116] covid,19 [41] covid,vaccine [35] 19,vaccine [22] 19,vaccination [17] covid,vaccination [14] please,look [12] 18,45 [11] immune,system [11] aged,12 [11] booster,vaccine Top Word Pairs in Tweet in G2:
[66] maël,calan [54] covid,19 [53] vaccination,covid [44] ahurissant,élu [44] élu,lr [44] lr,maël [44] calan,associé [44] associé,cabinet [44] cabinet,américain [44] américain,mckinsey Top Word Pairs in Tweet in G3:
[41] nurse,told [41] told,friend [41] friend,mine [41] mine,due [41] due,heart [41] heart,issues [41] issues,having [41] having,vaccine [41] vaccine,literally [40] downunderjane,nurse Top Word Pairs in Tweet in G4:
[149] covid,19 [141] cdc,telling [141] telling,johnson [141] johnson,johnson [141] johnson,covid [141] 19,vaccine [141] vaccine,recipients [141] recipients,two [141] two,mrna [141] mrna,shots Top Word Pairs in Tweet in G5:
[69] insurance,companies [62] vaccine,deaths [60] companies,refusing [60] refusing,payout [60] payout,death [60] death,claims [60] claims,vaccine [60] deaths,experimental [59] nancycoats57,insurance [29] until,covid Top Word Pairs in Tweet in G6:
[42] vaccine,injury [40] university,toronto [40] toronto,drops [40] drops,vaccine [40] vaccine,mandate [40] mandate,being [40] being,hit [40] hit,human [40] human,rights [40] rights,complaint Top Word Pairs in Tweet in G7:
[40] vaccine,designed [39] years,ago [38] getting,4th [38] 4th,5th [38] 5th,shots [37] people,getting [37] shots,vaccine [37] designed,virus [37] virus,three [37] three,years Top Word Pairs in Tweet in G8:
[29] christopher,chope [26] poor,effort [26] effort,lets [26] lets,move [26] move,commonsspeaker [26] commonsspeaker,christopher [26] chope,mp [26] mp,raises [26] raises,alarm [26] alarm,again Top Word Pairs in Tweet in G9:
[123] fauci,2004 [123] 2004,flu [123] flu,14 [123] 14,days [123] days,protected [123] protected,anybody [123] anybody,best [123] best,vaccination [122] tomselliott,fauci [28] vaccination,getting Top Word Pairs in Tweet in G10:
[31] million,schoolchildren [23] covid,19 [18] gt,16 [18] 16,million [18] schoolchildren,12 [18] 12,14 [18] 14,india [18] india,received [18] received,corbevax [18] corbevax,patent Top Replied-To in Entire Graph:
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 G9:
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: