The graph represents a network of 7,753 Twitter users whose tweets in the requested range contained "VaccinesWork", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 13 December 2021 at 03:32 UTC.
The requested start date was Monday, 13 December 2021 at 01:01 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 6-day, 15-hour, 3-minute period from Monday, 06 December 2021 at 09:48 UTC to Monday, 13 December 2021 at 00:51 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 : 7753
Unique Edges : 4580
Edges With Duplicates : 11378
Total Edges : 15958
Number of Edge Types : 5
Retweet : 4859
MentionsInRetweet : 6294
Tweet : 1735
Mentions : 2462
Replies to : 608
Self-Loops : 1800
Reciprocated Vertex Pair Ratio : 0.0121332177788783
Reciprocated Edge Ratio : 0.0239755351681957
Connected Components : 1344
Single-Vertex Connected Components : 679
Maximum Vertices in a Connected Component : 3978
Maximum Edges in a Connected Component : 10203
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.920734
Graph Density : 0.000136020451885398
Modularity : 0.529394
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,753 Twitter users whose tweets in the requested range contained "VaccinesWork", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 13 December 2021 at 03:32 UTC.
The requested start date was Monday, 13 December 2021 at 01:01 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 6-day, 15-hour, 3-minute period from Monday, 06 December 2021 at 09:48 UTC to Monday, 13 December 2021 at 00:51 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 : VaccinesWork
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:
[350] covid,19 [309] àª,ઠ[298] ø,ø [294] booked,booster [292] under,40s [292] 40s,booked [292] booster,guarantee [292] guarantee,work [292] work,everyone [291] kit_yates_maths,under Top Word Pairs in Tweet in G1:
[52] #vaccineswork,#vaccinessavelives [49] covid,19 [46] ù,ø [36] ø,ù [30] #covid19,#vaccineswork [30] ø,ø [21] #getvaccinated,#vaccineswork [19] #vaccine,#vaccineswork [19] #vaccinessavelives,#vaccineswork [16] booster,shot Top Word Pairs in Tweet in G2:
[151] ema_news,ecdc_eu [148] ema,ecdc_eu [148] ecdc_eu,share [148] share,recommendations [148] recommendations,possibility [148] possibility,using [148] using,different [148] different,#covid19vaccines [148] #covid19vaccines,1st [147] ema_news,ema Top Word Pairs in Tweet in G3:
[288] under,40s [288] 40s,booked [288] booked,booster [288] booster,guarantee [288] guarantee,work [288] work,everyone [287] kit_yates_maths,under [46] please,please [23] response,one [23] one,tweets Top Word Pairs in Tweet in G4:
[309] àª,ઠ[40] #covid19,#vaccineswork [31] #malaria,vaccine [30] first,#malaria [25] covid,19 [21] rts,first [21] vaccine,approved [21] gaviseth,outlines [20] #omicronvariant,#coronavirus [18] #coronavirus,#covid19 Top Word Pairs in Tweet in G5:
[197] érase,cierto [197] cierto,tipo [197] tipo,meningitis [197] meningitis,mataba [197] mataba,400000 [197] 400000,niños [197] niños,año [197] año,rachel [197] rachel,schneerson [197] schneerson,john Top Word Pairs in Tweet in G6:
[197] breakthrough,#covid19 [197] #covid19,infections [197] infections,happen [197] happen,anti [197] anti,vaxxers [197] vaxxers,invoke [197] invoke,excuse [197] excuse,vaccinate [197] vaccinate,idea [197] idea,ignore Top Word Pairs in Tweet in G7:
[129] covid,19 [89] 19,vaccine [44] aappres,dr [44] dr,lee [44] lee,beers [44] beers,joined [44] joined,children [44] children,whitehouse [44] whitehouse,answer [44] answer,questions Top Word Pairs in Tweet in G8:
[218] ø,ø [175] ø,ù [131] ù,ø [89] immunisation,campaign [86] û,ù [86] بچوں,کو [81] ø,û [69] million,children [66] û,ø [63] ø,ú Top Word Pairs in Tweet in G9:
[53] #sisonke,phase [53] phase,johnson [53] johnson,johnson [53] johnson,booster [53] booster,#healthcareworkers [53] #healthcareworkers,wraps [53] wraps,days [53] days,goodness [53] goodness,sake [52] southafricanasp,#sisonke Top Word Pairs in Tweet in G10:
[102] #covid19,#ontario [102] orange,line [102] line,unvaccinated [101] #vaccineswork,reduce [101] reduce,risk [101] risk,severe [101] severe,illness [101] illness,#covid19 [101] #ontario,#covidvaccine [89] jkwan_md,#vaccineswork Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: