The graph represents a network of 21,152 Twitter users whose recent tweets were included in a list (Tweet ID List #vaccineswork &al 25 Apr 21 to 12PM) of 30047 tweet IDs, or who were replied to or mentioned in those tweets. 29543 out of 30047 tweets were collected. The network was obtained from Twitter on Saturday, 01 May 2021 at 10:13 UTC.
The tweets in the network were tweeted over the 11-hour, 59-minute period from Sunday, 25 April 2021 at 00:00 UTC to Sunday, 25 April 2021 at 11:59 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 : 21152
Unique Edges : 24344
Edges With Duplicates : 15851
Total Edges : 40195
Self-Loops : 1274
Reciprocated Vertex Pair Ratio : 0.0022343342699482
Reciprocated Edge Ratio : 0.00445870629961155
Connected Components : 813
Single-Vertex Connected Components : 454
Maximum Vertices in a Connected Component : 19184
Maximum Edges in a Connected Component : 37970
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 2.64678
Graph Density : 6.61732892319337E-05
Modularity : 0.441796
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 21,152 Twitter users whose recent tweets were included in a list (Tweet ID List #vaccineswork &al 25 Apr 21 to 12PM) of 30047 tweet IDs, or who were replied to or mentioned in those tweets. 29543 out of 30047 tweets were collected. The network was obtained from Twitter on Saturday, 01 May 2021 at 10:13 UTC.
The tweets in the network were tweeted over the 11-hour, 59-minute period from Sunday, 25 April 2021 at 00:00 UTC to Sunday, 25 April 2021 at 11:59 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 &al 25 Apr 21 to 12PM
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:
[11437] thank,#btsarmy [10072] unicef,partners [10008] up,5m [9900] vaccine,programmes [9877] unlock,1 [9875] partners,unlock [9822] programmes,up [9759] 5m,#vaccineswork [9687] reply,unicef [9483] 1,vaccine Top Word Pairs in Tweet in G1:
[7807] unicef,partners [7806] programmes,up [7804] vaccine,programmes [7804] up,5m [7803] partners,unlock [7803] unlock,1 [7754] 5m,#vaccineswork [7633] reply,unicef [7632] 1,vaccine [6961] doing,part Top Word Pairs in Tweet in G2:
[6354] thank,#btsarmy [4075] unicef,thank [4056] #btsarmy,being [4056] being,vaccine [4056] vaccine,champions [4056] champions,#vaccineswork [2317] vaccines,#vaccineswork [2303] children,access [2301] make,sure [2300] together,make Top Word Pairs in Tweet in G3:
[997] unicef,partners [962] up,5m [925] reply,unicef [870] thank,#btsarmy [856] vaccine,programmes [832] partners,unlock [832] unlock,1 [784] 5m,#vaccineswork [779] programmes,up [721] 1,vaccine Top Word Pairs in Tweet in G4:
[197] bring,closer [117] #vaccineswork,bring [115] s,#worldimmunizationweek [82] #covid19,pandemic [78] bacterial,meningitis [78] #worldimmunizationweek,vaccines [77] vaccines,help [76] end,#covid19 [74] vaccines,bring [73] #worldimmunizationweek,#vaccineswork Top Word Pairs in Tweet in G5:
[31] immunization,week [29] world,immunization [18] covid,19 [11] #vaccineswork,#vaccinated [11] क,स [10] vaccinated,#vaccineswork [10] स,न [9] #vaccineswork,#vaccine [9] #vaccineswork,#getvaccinated [9] bring,closer Top Word Pairs in Tweet in G6:
[106] narendramodi,ji [100] pmoindia,narendramodi [99] raw,materials [99] #vaccineswork,#vaccination [99] #vaccination,#vaccine [98] materials,hum [98] hum,atmanirbhar [98] atmanirbhar,banege [98] banege,kisi [98] kisi,ki Top Word Pairs in Tweet in G7:
[282] _,_ [141] l,vacunas [141] vacunas,previenen [141] previenen,enfermedades [141] enfermedades,evitan [141] evitan,muerte [141] muerte,l [141] l,_ [141] _,sí [141] sí,#lasvacunasfuncionan Top Word Pairs in Tweet in G8:
[153] #vaccineswork,please [153] please,register [153] register,ur [153] ur,vaccination [153] vaccination,s [153] s,win [153] win,back [153] back,work [153] work,soon [153] soon,s Top Word Pairs in Tweet in G9:
[154] #helpindia,#help4humanity [154] #help4humanity,#covidhelp [154] #covidhelp,#vaccineswork [154] #vaccineswork,#cancel12thboardexams2021 [154] #cancel12thboardexams2021,#anuragtyagiclasses Top Word Pairs in Tweet in G10:
[45] #worldimmunisationweek,#vaccineswork [40] world,immunization [40] immunization,week [37] two,thirds [37] thirds,malaria [37] malaria,deaths [37] deaths,very [37] very,young [37] young,children [37] children,#worldmalariaday Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G6:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: