The graph represents a network of 42,870 Twitter users whose recent tweets were included in a list (VaccinesWork and related terms) of 66421 tweet IDs, or who were replied to or mentioned in those tweets. 65281 out of 66421 tweets were collected. The network was obtained from Twitter on Saturday, 02 May 2020 at 00:05 UTC.
The tweets in the network were tweeted over the 13-day, 17-hour, 15-minute period from Saturday, 18 April 2020 at 04:29 UTC to Friday, 01 May 2020 at 21:45 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 : 42870
Unique Edges : 76780
Edges With Duplicates : 30662
Total Edges : 107442
Self-Loops : 6605
Reciprocated Vertex Pair Ratio : 0.0123814509550883
Reciprocated Edge Ratio : 0.0244600509885035
Connected Components : 2219
Single-Vertex Connected Components : 1525
Maximum Vertices in a Connected Component : 38990
Maximum Edges in a Connected Component : 102602
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.950157
Graph Density : 4.52477256115583E-05
Modularity : 0.606235
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 42,870 Twitter users whose recent tweets were included in a list (VaccinesWork and related terms) of 66421 tweet IDs, or who were replied to or mentioned in those tweets. 65281 out of 66421 tweets were collected. The network was obtained from Twitter on Saturday, 02 May 2020 at 00:05 UTC.
The tweets in the network were tweeted over the 13-day, 17-hour, 15-minute period from Saturday, 18 April 2020 at 04:29 UTC to Friday, 01 May 2020 at 21:45 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 : TwitterIDList
Graph Term : VaccinesWork and related terms
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[11524] preventable,diseases [10633] vaccine,preventable [9170] measles,meningitis [9138] yellow,fever [9071] cervical,cancer [8950] tetanus,typhoid [8734] cholera,diphtheria [8701] b,influenza [8700] cancer,cholera [8697] polio,rabies Top Word Pairs in Tweet in G1:
[7571] vaccine,preventable [7483] preventable,diseases [7339] cervical,cancer [7322] tetanus,typhoid [7317] cancer,cholera [7317] rabies,rotavirus [7316] hep,b [7316] mumps,pertussis [7316] rotavirus,rubella [7316] rubella,tetanus Top Word Pairs in Tweet in G2:
[1260] preventable,diseases [736] million,children [687] life,saving [680] vaccine,preventable [619] around,world [578] save,lives [560] support,gavi [559] immunization,week [549] health,workers [537] covid,19 Top Word Pairs in Tweet in G3:
[744] immunization,week [589] safe,effective [571] during,#covid19 [520] preventable,diseases [496] vaccine,preventable [470] vaccines,safe [447] up,date [416] #covid19,pandemic [398] european,immunization [396] #vaccineswork,#eiw2020 Top Word Pairs in Tweet in G4:
[750] safe,effective [700] preventable,diseases [628] vaccine,preventable [606] protect,against [568] health,workers [523] tetanus,typhoid [494] cervical,cancer [445] vaccines,protect [442] yellow,fever [440] cholera,diphtheria Top Word Pairs in Tweet in G5:
[1630] cost,effective [1628] one,world's [1628] millions,lives [1627] lives,around [1626] need,aware [1625] celebration,#worldimmunizationweek [1625] #worldimmunizationweek,need [1625] aware,immunization [1625] immunization,one [1625] world's,efficient Top Word Pairs in Tweet in G6:
[1561] dfid_uk,scottmorrisonmp [1561] norwaymfa,swedishpm [1533] during,#covid19 [1507] save,lives [1486] protect,those [1484] deadly,disease [1483] scottmorrisonmp,bmz_bund [1483] bmz_bund,norwaymfa [1483] those,extreme [1483] extreme,poverty Top Word Pairs in Tweet in G7:
[368] immunization,week [360] world,immunization [109] covid,19 [76] 24,30 [73] protect,people [71] people,ages [70] immunisation,week [68] vaccines,protect [67] world,immunisation [66] ages,against Top Word Pairs in Tweet in G8:
[1259] goodwill,ambassador [1252] vaccines,help [1221] ambassador,iviheadquarters [1214] iviheadquarters,m [1214] m,excited [1214] excited,partner [1214] partner,#worldimmunizationweek2020 [1214] #worldimmunizationweek2020,share [1214] share,5 [1214] 5,facts Top Word Pairs in Tweet in G9:
[330] preventable,diseases [328] protect,against [326] measles,polio [309] diseases,measles [236] immunization,week [235] world,immunization [210] cervical,cancer [210] tetanus,typhoid [194] protect,children [193] world,made Top Word Pairs in Tweet in G10:
[288] millions,lives [282] immunization,programs [277] last,year [277] saved,millions [276] disease,polio [276] polio,killed [276] killed,millions [276] millions,last [276] year,few [276] few,hundred Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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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:
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Top Mentioned in G4:
Top Mentioned in G5:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: