The graph represents a network of 9,093 Twitter users whose tweets in the requested range contained "Polio", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 25 November 2022 at 02:49 UTC.
The requested start date was Friday, 25 November 2022 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 2-day, 11-hour, 23-minute period from Monday, 21 November 2022 at 00:41 UTC to Wednesday, 23 November 2022 at 12:04 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 : 9093
Unique Edges : 5729
Edges With Duplicates : 10381
Total Edges : 16110
Number of Edge Types : 5
Retweet : 4450
MentionsInRetweet : 5082
Replies to : 1982
Mentions : 3407
Tweet : 1189
Self-Loops : 1216
Reciprocated Vertex Pair Ratio : 0.0172120696982575
Reciprocated Edge Ratio : 0.0338416544808857
Connected Components : 1452
Single-Vertex Connected Components : 524
Maximum Vertices in a Connected Component : 2768
Maximum Edges in a Connected Component : 6233
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 7.834418
Graph Density : 0.000115804865101
Modularity : 0.597717
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 9,093 Twitter users whose tweets in the requested range contained "Polio", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 25 November 2022 at 02:49 UTC.
The requested start date was Friday, 25 November 2022 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 2-day, 11-hour, 23-minute period from Monday, 21 November 2022 at 00:41 UTC to Wednesday, 23 November 2022 at 12:04 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 : Polio
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:
[1094] tus,hijos [1094] #polio,#rubeola [1094] ante,viejos [1094] protege,tus [1094] #rubeola,#covid [1094] viejos,nuevos [1094] enemigos,protege [1094] nuevos,enemigos [1092] hijos,#sarampion [1092] #sarampion,#polio Top Word Pairs in Tweet in G1:
[1066] #polio,#rubeola [1066] viejos,nuevos [1066] #rubeola,#covid [1066] ante,viejos [1066] nuevos,enemigos [1066] enemigos,protege [1066] protege,tus [1066] tus,hijos [1064] hijos,#sarampion [1064] #sarampion,#polio Top Word Pairs in Tweet in G2:
[496] polio,ebola [496] recent,times [496] uk,recent [496] appearing,uk [496] diphtheria,dysentery [496] diseases,appearing [496] ebola,diseases [496] dysentery,polio [495] lord_brouhaha,diphtheria [495] times,gove Top Word Pairs in Tweet in G3:
[63] kasus,polio [49] klb,polio [34] virus,polio [29] contra,sarampión [28] vaksin,polio [26] polio,vaccine [24] polio,aceh [24] imunisasi,polio [19] contra,polio [19] vacunación,contra Top Word Pairs in Tweet in G4:
[213] covid,19 [209] protect,against [208] diphtheria,hep [208] 19,diphtheria [208] right,#vaccines [208] #vaccines,#vaccineswork [208] #vaccineswork,protect [208] cervical,cancer [208] cholera,covid [208] against,cervical Top Word Pairs in Tweet in G5:
[74] klb,polio [64] polio,aceh [61] bagi,anak [61] wajib,vaksin [61] covid19,diberlakukan [61] covid,anak [61] anak,indonesia [61] vaksin,covid19 [61] diberlakukan,bagi [61] data,covid Top Word Pairs in Tweet in G6:
[448] mild,case [224] case,hiv [224] need,hospital [224] one,mild [224] didn,die [224] polio,didn [224] case,polio [224] hiv,mild [224] die,need [223] hospital,tre Top Word Pairs in Tweet in G7:
[79] klb,polio [73] luar,biasa [72] kejadian,luar [70] status,kejadian [69] menetapkan,status [65] bebas,polio [64] sertifikat,bebas [64] menyusul,penemuan [64] penemuan,satu [63] atau,klb Top Word Pairs in Tweet in G8:
[12] polio,vaccine [11] realcandaceo,samharrisorg [7] cn7hktg76f,realcandaceo [6] vaccine,polio [6] elonmusk,kimdotcom [6] kimdotcom,samharrisorg [5] vaccinated,against [5] polio,vaccines [4] squatchywildman,_whitneywebb [4] solhominis,cavecrusherback Top Word Pairs in Tweet in G9:
[18] believe,polio [18] know,reasons [18] polio,vaccine [18] claim,know [18] others,tamed [18] polio,others [18] reasons,believe [18] naturallyftw,one [18] one,vaxxed [18] vaxxed,claim Top Word Pairs in Tweet in G10:
[97] thom_wmd,timcast [89] its_just_j1,thom_wmd [34] polio,vaccine [33] timcast,polio [9] timcast,yes [7] timcast,covid [7] covid,vaccine [6] polio,vax [6] gigi32619,invkoalabooks [6] invkoalabooks,mmmm01000000 Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
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:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
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:
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: