The graph represents a network of 991 Twitter users whose recent tweets were included in a list (WAAW hour (15-16:00 18/11/21): EU/UK #s & RTs) of 1550 tweet IDs, or who were replied to or mentioned in those tweets. 1549 out of 1550 tweets were collected. The network was obtained from Twitter on Monday, 06 December 2021 at 18:08 UTC.
The tweets in the network were tweeted over the 17-hour, 30-minute period from Thursday, 18 November 2021 at 15:00 UTC to Friday, 19 November 2021 at 08:30 UTC.
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 : 991
Unique Edges : 1478
Edges With Duplicates : 540
Total Edges : 2018
Self-Loops : 295
Reciprocated Vertex Pair Ratio : 0.021932830705963
Reciprocated Edge Ratio : 0.0429242119382964
Connected Components : 89
Single-Vertex Connected Components : 43
Maximum Vertices in a Connected Component : 760
Maximum Edges in a Connected Component : 1658
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.898701
Graph Density : 0.00151973825031343
Modularity : 0.647913
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 991 Twitter users whose recent tweets were included in a list (WAAW hour (15-16:00 18/11/21): EU/UK #s & RTs) of 1550 tweet IDs, or who were replied to or mentioned in those tweets. 1549 out of 1550 tweets were collected. The network was obtained from Twitter on Monday, 06 December 2021 at 18:08 UTC.
The tweets in the network were tweeted over the 17-hour, 30-minute period from Thursday, 18 November 2021 at 15:00 UTC to Friday, 19 November 2021 at 08:30 UTC.
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 : WAAW hour (15-16:00 18/11/21): EU/UK #s & RTs
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:
[315] #antibioticguardian,#keepantibioticsworking [274] side,effects [236] #antibioticresistance,#waaw [218] #waaw2021,#eaad2021 [217] #keepantibioticsworking,#waaw2021 [207] #eaad2021,#doit4das [204] #keepantibioticsworking,#waaw [200] covid,19 [175] antibiotic,use [175] more,#waaw Top Word Pairs in Tweet in G1:
[140] #antibioticresistance,#waaw [98] side,effects [97] aren,t [97] t,needed [97] won,t [97] t,help [96] antibiotics,critical [96] critical,tools [96] tools,treating [96] treating,serious Top Word Pairs in Tweet in G2:
[94] #keepantibioticsworking,#waaw [76] more,#waaw [68] #usaaw21,#eaad [68] #eaad,#antibioticresistance [65] #antibioticresistance,#antibiotics [65] side,effects [63] antibiotic,use [61] #antibiotics,#keepantibioticsworking [58] covid,19 [55] #antibioticresistance,#waaw Top Word Pairs in Tweet in G3:
[179] #keepantibioticsworking,#waaw2021 [179] #waaw2021,#eaad2021 [179] #eaad2021,#doit4das [140] #antibioticguardian,#keepantibioticsworking [103] 38,50 [103] 50,#diagnosticstewardship [103] #diagnosticstewardship,important [103] important,#antimicrobialstewardship [103] #antimicrobialstewardship,elizbeech [103] elizbeech,#antibioticguardian Top Word Pairs in Tweet in G4:
[39] antibiotics,second [39] second,hand [39] hand,effects [39] effects,beyond [39] beyond,person [39] person,receiving [39] receiving,societal [39] societal,responsibility [39] responsibility,use [39] use,medications Top Word Pairs in Tweet in G5:
[38] #antibioticguardian,#keepantibioticsworking [25] antibiotic,resistance [22] #keepantibioticsworking,#waaw2021 [22] #antibioticresistance,still [22] still,#publichealth [22] #publichealth,threat [22] threat,during [22] during,#covid19 [22] #covid19,pandemic [22] closely,monitoring Top Word Pairs in Tweet in G6:
[17] #waaw,#antibioticresistance [10] antimicrobial,resistance [10] resistance,accelerated [10] accelerated,misuse [10] misuse,overuse [10] overuse,antibiotics [10] antibiotics,winter [10] winter,handle [10] handle,antimicrobials [10] antimicrobials,care Top Word Pairs in Tweet in G7:
[21] one,urgent [21] urgent,global [21] global,threats [21] threats,public [21] public,s [21] s,health [19] #antimicrobialresistance,one [18] side,effects [17] cause,side [16] contribute,development Top Word Pairs in Tweet in G8:
[25] antibiotic,resistance [24] today,marks [24] marks,start [24] start,world [24] world,antimicrobial [24] antimicrobial,awareness [24] awareness,week [24] week,antibiotic [24] resistance,still [24] still,one Top Word Pairs in Tweet in G9:
[84] #handlewithcare,#antimicrobialresistance [84] #antimicrobialresistance,#keepantibioticsworking [80] #keepantibioticsworking,#hsaamrwarenessweek [61] day,01 [61] 01,inauguration [59] antimicrobial,resistance [55] resistance,serious [55] serious,public [55] public,health [55] health,problem Top Word Pairs in Tweet in G10:
[11] infectious,diseases [11] diseases,team [11] team,spreading [11] spreading,awareness [11] awareness,#eaad [11] #eaad,cuh_cork [11] cuh_cork,#eaad [11] #eaad,blairmatthewd [11] blairmatthewd,#idtwitter [11] #idtwitter,#keepantibioticsworking Top Replied-To in Entire Graph:
Top Replied-To in G5:
Top Replied-To in G6:
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 G8:
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: