The graph represents a network of 20,964 Twitter users whose recent tweets contained "unvaccinated", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 15 September 2021 at 21:04 UTC.
The tweets in the network were tweeted over the 3-hour, 46-minute period from Wednesday, 15 September 2021 at 16:01 UTC to Wednesday, 15 September 2021 at 19:47 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 : 20964
Unique Edges : 23800
Edges With Duplicates : 3084
Total Edges : 26884
Number of Edge Types : 5
Retweet : 12558
Replies to : 4025
MentionsInRetweet : 2249
Tweet : 2887
Mentions : 5165
Self-Loops : 2956
Reciprocated Vertex Pair Ratio : 0.00817096165933375
Reciprocated Edge Ratio : 0.0162094763092269
Connected Components : 3039
Single-Vertex Connected Components : 1283
Maximum Vertices in a Connected Component : 13379
Maximum Edges in a Connected Component : 19121
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 8.031146
Graph Density : 5.10981073375726E-05
Modularity : 0.840173
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 20,964 Twitter users whose recent tweets contained "unvaccinated", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 15 September 2021 at 21:04 UTC.
The tweets in the network were tweeted over the 3-hour, 46-minute period from Wednesday, 15 September 2021 at 16:01 UTC to Wednesday, 15 September 2021 at 19:47 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 : TwitterSearch
Graph Term : unvaccinated
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:
[2144] unvaccinated,people [1835] unvaccinated,covid [1709] covid,patients [1483] affect,others [1446] year,old [1437] covid,19 [1366] 12,year [1283] overwhelmed,unvaccinated [1268] decision,vaccinate [1267] wait,hours Top Word Pairs in Tweet in G1:
[1199] unvaccinated,covid [1194] covid,patients [1143] overwhelmed,unvaccinated [1137] affect,others [1136] 12,year [1136] year,old [1136] old,appendicitis [1136] appendicitis,overwhelmed [1136] patients,wait [1136] wait,hours Top Word Pairs in Tweet in G2:
[152] covid,19 [146] unvaccinated,people [66] unvaccinated,covid [61] vaccinated,infected [59] cost,life [58] candace,ayers' [58] ayers',obituary [58] obituary,vaccinated [58] infected,others [58] others,chose Top Word Pairs in Tweet in G3:
[897] unvaccinated,crazy [76] unvaccinated,unvaccinated [39] ikemoses,light [39] light,unvaccinated [39] unvaccinated,dark [39] dark,unvaccinated [39] unvaccinated,faux [39] faux,unvaccinated [39] unvaccinated,rich [39] rich,unvaccinated Top Word Pairs in Tweet in G4:
[120] unvaccinated,people [88] primary,care [76] hospitals,unvaccinated [72] heard,reliable [72] reliable,sources [72] sources,10 [72] 10,30 [72] 30,staff [72] staff,local [72] local,hospitals Top Word Pairs in Tweet in G5:
[208] dear,professor [208] professor,whitty [208] whitty,cmo_england [208] cmo_england,hope [208] hope,noticed [208] noticed,world [208] world,health [208] health,organisation [208] organisation,seem [208] seem,side Top Word Pairs in Tweet in G6:
[134] remaining,unvaccinated [134] unvaccinated,people [133] opinion,remaining [133] unvaccinated,public [133] public,considered [133] considered,bad [133] bad,drunken [133] drunken,driving [132] driving,leana [132] leana,wen Top Word Pairs in Tweet in G7:
[234] unvaccinated,people [228] medical,treatment [215] work,colleagues [215] colleagues,tell [215] tell,face [215] face,unvaccinated [215] people,wife [215] wife,refused [215] refused,medical [215] treatment,people Top Word Pairs in Tweet in G8:
[173] 4th,wave [90] pandemic,unvaccinated [86] term,pandemic [86] unvaccinated,irks [86] irks,deliberately [86] deliberately,shifts [86] shifts,blame [86] blame,responsibility [86] responsibility,4th [86] wave,individuals Top Word Pairs in Tweet in G9:
[80] unvaccinated,covid [78] covid,patients [68] hospitalized,unvaccinated [66] analysis,preventable [66] preventable,costs [66] costs,treating [66] treating,hospitalized [66] patients,reached [66] reached,estimated [66] estimated,billion Top Word Pairs in Tweet in G10:
[228] unvaccinated,people [225] icu,full [224] full,unvaccinated [223] full,covid [223] please,vaccinated [222] covid,again [222] again,time [222] time,different [222] different,full [222] people,strongly Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: