The graph represents a network of 9,593 Twitter users whose recent tweets were included in a list (Tweet ID List #vaccineswork &related 30 April 21) of 10516 tweet IDs, or who were replied to or mentioned in those tweets. 10312 out of 10516 tweets were collected. The network was obtained from Twitter on Monday, 03 May 2021 at 08:46 UTC.
The tweets in the network were tweeted over the 23-hour, 59-minute period from Friday, 30 April 2021 at 00:00 UTC to Friday, 30 April 2021 at 23:59 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 : 9593
Unique Edges : 13682
Edges With Duplicates : 3986
Total Edges : 17668
Self-Loops : 2666
Reciprocated Vertex Pair Ratio : 0.0175017424301092
Reciprocated Edge Ratio : 0.0344014004109902
Connected Components : 1713
Single-Vertex Connected Components : 899
Maximum Vertices in a Connected Component : 5523
Maximum Edges in a Connected Component : 12507
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.961311
Graph Density : 0.000142790297380275
Modularity : 0.715249
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 9,593 Twitter users whose recent tweets were included in a list (Tweet ID List #vaccineswork &related 30 April 21) of 10516 tweet IDs, or who were replied to or mentioned in those tweets. 10312 out of 10516 tweets were collected. The network was obtained from Twitter on Monday, 03 May 2021 at 08:46 UTC.
The tweets in the network were tweeted over the 23-hour, 59-minute period from Friday, 30 April 2021 at 00:00 UTC to Friday, 30 April 2021 at 23:59 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 : Tweet ID List #vaccineswork &related 30 April 21
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:
[1986] covid,19 [989] bring,closer [595] #vaccineswork,bring [566] 19,vaccine [536] immunization,week [521] world,immunization [401] 19,vaccines [330] vaccines,help [318] #covid19,pandemic [312] #worldimmunizationweek,#vaccineswork Top Word Pairs in Tweet in G1:
[95] world,immunization [94] immunization,week [73] covid,19 [40] bring,closer [38] #vaccinated,#vaccineswork [32] #vaccineswork,#vaccinated [28] #covid19,#vaccineswork [28] raise,awareness [28] check,out [25] learn,more Top Word Pairs in Tweet in G2:
[116] save,lives [112] vaccines,save [104] vaccines,vaccines [102] benefits,vaccines [101] vaccine,champion [99] covid,19 [98] #vaccineswork,#gsksponsored [95] everyone,vaccine [94] ncdcgov,nphcdang [92] bring,closer Top Word Pairs in Tweet in G3:
[398] bring,closer [337] #vaccineswork,bring [124] covid,19 [118] vaccines,help [93] #covid19,pandemic [84] end,#covid19 [82] help,end [80] s,#worldimmunizationweek [80] #worldimmunizationweek,#vaccineswork [77] again,#vaccineswork Top Word Pairs in Tweet in G4:
[405] covid,19 [131] world,immunization [131] immunization,week [120] 19,vaccines [98] take,action [91] protect,children [91] goodwill,ambassador [84] millions,lives [81] preventable,diseases [77] ambassador,david Top Word Pairs in Tweet in G5:
[239] vaccinated,25 [174] covid,19 [170] tripura,8 [170] 8,lakh [170] lakh,people [170] people,vaccinated [170] 25,state's [170] state's,population [170] population,75 [170] 75,people Top Word Pairs in Tweet in G6:
[121] #vaccinated,#vaccineswork [65] 2,weeks [65] rain,spoils [65] spoils,picnic [65] picnic,saves [65] saves,farmer [65] farmer,s [65] s,crop [65] crop,shouldn [65] shouldn,t Top Word Pairs in Tweet in G7:
[45] #covid19,world [44] uk,disease [44] disease,cases [34] one,year [34] year,ago [34] ago,week [34] week,joined [34] joined,forces [34] forces,uniofoxford [34] uniofoxford,tackle Top Word Pairs in Tweet in G8:
[31] bring,closer [29] covid,19 [28] #bharatbiotech,#wiw2021 [25] #covid19,#covaxin [25] #covaxin,#pandemic [25] #pandemic,#sarscov2 [25] world,immunization [25] immunization,week [21] #covid19,vaccine [21] 19,vaccines Top Word Pairs in Tweet in G9:
[59] #vaccineswork,#niaw2021 [33] against,#covid19 [27] public,health [25] covid,19 [25] #niaw2021,#vaccineswork [24] vaccinated,#covid19 [22] #covid19,vaccine [21] #vaccineswork,#oneworldprotected [21] #oneworldprotected,#niaw2021 [20] #dyk,quarantine Top Word Pairs in Tweet in G10:
[30] learn,more [20] received,protection [20] protection,against [20] covid,19 [18] world,immunization [18] immunization,week [17] s,going [17] going,work [17] work,doing [17] doing,daily 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: