The graph represents a network of 555 Twitter users whose recent tweets contained "#IFAD2021", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 30 November 2021 at 16:22 UTC.
The tweets in the network were tweeted over the 8-day, 21-hour, 33-minute period from Sunday, 21 November 2021 at 18:21 UTC to Tuesday, 30 November 2021 at 15:54 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 : 555
Unique Edges : 1287
Edges With Duplicates : 3421
Total Edges : 4708
Number of Edge Types : 5
Retweet : 1605
MentionsInRetweet : 2258
Mentions : 546
Replies to : 178
Tweet : 121
Self-Loops : 147
Reciprocated Vertex Pair Ratio : 0.0696278511404562
Reciprocated Edge Ratio : 0.130190796857464
Connected Components : 7
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 500
Maximum Edges in a Connected Component : 4568
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.603035
Graph Density : 0.00579568738413504
Modularity : 0.246478
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 555 Twitter users whose recent tweets contained "#IFAD2021", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 30 November 2021 at 16:22 UTC.
The tweets in the network were tweeted over the 8-day, 21-hour, 33-minute period from Sunday, 21 November 2021 at 18:21 UTC to Tuesday, 30 November 2021 at 15:54 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 : TwitterSearch
Graph Term : #IFAD2021
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[207] #ifad2021,fluid_academy [184] 26,27 [175] nov,26 [163] fluid,academy [153] event,app [149] academy,days [146] international,fluid [138] 10th,international [135] days,ifad2021 [135] ifad2021,nov Top Word Pairs in Tweet in G1:
[181] 26,27 [172] nov,26 [169] #ifad2021,fluid_academy [160] fluid,academy [150] event,app [148] academy,days [145] international,fluid [137] 10th,international [134] days,ifad2021 [134] ifad2021,nov Top Word Pairs in Tweet in G2:
[70] iv,fluids [64] fluids,septic [64] septic,shock [64] shock,unless [64] unless,approach [64] approach,#classic [64] #classic,trial [64] trial,#ifad2021 [52] fluid,management [49] management,#aki Top Word Pairs in Tweet in G3:
[35] #ifad2021,updated [35] updated,rightly [35] rightly,pointed [35] pointed,bleeding [35] bleeding,box [35] box,better [17] iv,fluids [13] fluid,management [10] fluids,septic [10] septic,shock Top Word Pairs in Tweet in G4:
[32] performed,unforgettable [32] unforgettable,dialogue [32] iffigoa,#ifad2021 [29] madhuridixit,ka [29] ka,nayaab [29] nayaab,andaaz [29] andaaz,performed [29] dialogue,iffigoa [5] smile,god [5] god,protect Top Word Pairs in Tweet in G5:
[37] #ifad2021,fluid_academy [6] fluid_academy,#ifad2021 [5] fluid_academy,manu_malbrain [3] patient,#ifad2021 [3] lead,chabge [3] chabge,hospital [3] hospital,#fluidstewardship [3] #fluidstewardship,#ifad2021 [3] talking,#sepsis [3] #sepsis,#pics Top Word Pairs in Tweet in G6:
[5] #eaffyouthsummit,zainabsemgalawe [5] zainabsemgalawe,#ifad2021 [5] #ifad2021,mucheru [5] mucheru,kilimoke [5] kilimoke,moictkenya [5] moictkenya,annie_nyagah [5] annie_nyagah,georgeonyango [5] georgeonyango,weeffectea [5] weeffectea,dorothykipsang [5] dorothykipsang,#weeffect Top Word Pairs in Tweet in G7:
[7] please,help [7] help,find [7] find,fluid [7] fluid,removal [7] removal,currently [7] currently,prescribed [7] prescribed,kidney [7] kidney,replacement [7] replacement,therapy [7] therapy,identify Top Word Pairs in Tweet in G8:
[6] excelente,#ifad2021 Top Word Pairs in Tweet in G9:
[5] talk,#fluidstewardship [5] #fluidstewardship,way [5] way,ajhpofficial [5] ajhpofficial,describe [5] describe,take [5] take,theory [5] theory,bedside [5] bedside,very [5] very,timely [5] timely,fluid_academy Top Word Pairs in Tweet in G10:
[4] ifadfrancais,premiers [4] premiers,partenaire [4] partenaire,cadre [4] cadre,notre [4] notre,journée [4] journée,annuelle [4] annuelle,rejoignez [4] rejoignez,16 [4] 16,12 [4] 12,savoir Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G5:
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 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: