The graph represents a network of 8,967 Twitter users whose tweets in the requested range contained "immunization", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 16 September 2021 at 20:17 UTC.
The requested start date was Thursday, 16 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 3-day, 1-hour, 28-minute period from Sunday, 12 September 2021 at 22:30 UTC to Wednesday, 15 September 2021 at 23:58 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 : 8967
Unique Edges : 4974
Edges With Duplicates : 10440
Total Edges : 15414
Number of Edge Types : 5
Retweet : 4680
MentionsInRetweet : 5731
Replies to : 1376
Mentions : 2219
Tweet : 1408
Self-Loops : 1444
Reciprocated Vertex Pair Ratio : 0.0118816405803724
Reciprocated Edge Ratio : 0.0234842497459636
Connected Components : 1573
Single-Vertex Connected Components : 659
Maximum Vertices in a Connected Component : 3640
Maximum Edges in a Connected Component : 7456
Maximum Geodesic Distance (Diameter) : 29
Average Geodesic Distance : 7.769971
Graph Density : 0.000110164264782205
Modularity : 0.585925
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,967 Twitter users whose tweets in the requested range contained "immunization", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 16 September 2021 at 20:17 UTC.
The requested start date was Thursday, 16 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 3-day, 1-hour, 28-minute period from Sunday, 12 September 2021 at 22:30 UTC to Wednesday, 15 September 2021 at 23:58 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 : immunization
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:
[1279] immunization,records [1026] vaccine,mandates [1012] records,required [1009] people,don [1008] believe,immunization [1007] number,people [1005] absolutely,shocked [1005] shocked,number [1005] don,believe [1004] lanceusa70,absolutely Top Word Pairs in Tweet in G1:
[969] immunization,records [963] records,required [961] absolutely,shocked [961] shocked,number [961] number,people [961] people,don [961] don,believe [961] believe,immunization [960] lanceusa70,absolutely [5] immunization,record Top Word Pairs in Tweet in G2:
[928] diphtheria,tetanus [922] florida,vaccine [922] vaccine,mandates [922] mandates,children [922] children,day [922] day,care [922] care,school [922] school,diphtheria [922] tetanus,acellular [922] acellular,pertussis Top Word Pairs in Tweet in G3:
[102] covid,19 [79] appointments,available [79] available,september [79] spotted,availability [79] appointments,sep [79] use,link [79] link,below [79] below,reserve [79] reserve,spot [58] people,dangerous Top Word Pairs in Tweet in G4:
[332] vaccinées,sont [332] sont,dangereuses [166] personnes,non [166] non,vaccinées [166] dangereuses,personnes [166] personnes,vaccinées [166] dangereuses,autres [165] brainlesschanel,personnes [165] autres,adv_ [28] people,dangerous Top Word Pairs in Tweet in G5:
[136] university,calgary [136] calgary,university [136] university,alberta [136] alberta,nine [136] nine,#abpse [136] #abpse,announcing [136] announcing,strengthened [136] strengthened,#covid19ab [136] #covid19ab,rules [135] jasonfherring,university Top Word Pairs in Tweet in G6:
[93] proof,vaccination [90] show,proof [86] aged,12 [78] effective,september [78] september,13 [78] 13,people [78] people,aged [78] 12,need [78] need,show [78] vaccination,certain Top Word Pairs in Tweet in G7:
[99] #war_on_muslims,rebel [99] rebel,exposes [99] exposes,elite [99] elite,satanic [99] satanic,families [99] families,found [99] found,city [99] city,planet [99] planet,controlled [99] controlled,citizens Top Word Pairs in Tweet in G8:
[44] covid,19 [23] immunization,status [23] 19,immunization [20] city,toronto [20] toronto,workers [20] workers,until [20] until,end [20] end,week [20] week,disclose [18] immunization,record Top Word Pairs in Tweet in G9:
[10] vice,president [10] professor,christian [10] christian,perronne [8] voormalig,vice [8] president,europese [8] europese,adviesgroep [8] adviesgroep,immunisatie [8] immunisatie,professor [8] perronne,alle [8] alle,#gevaccineerde Top Word Pairs in Tweet in G10:
[36] 22,4m [30] probability,death [28] person,encounters [23] need,more [23] more,proof [23] proof,gov [23] gov,sununu [23] sununu,exec [23] exec,council [23] council,doesn 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:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: