The graph represents a network of 3,431 Twitter users whose recent tweets contained "#eaad OR #eaad2019 OR #eaad19 OR #waaw OR #waaw19 OR #waaw2019 OR #antibioticawareness OR #worldantibioticawarenessweek OR #antibioticawarenessweek OR "antibiotic awareness week" OR "antibiotic awareness day" OR #stopsuperbugs OR #aaw2019 OR #aaw19 OR #antibioticguardian OR #keepantibioticsworking OR #antibioticresistance since:2019-11-23 until:2019-11-24", 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 Sunday, 24 November 2019 at 08:34 UTC.
The tweets in the network were tweeted over the 23-hour, 59-minute period from Saturday, 23 November 2019 at 00:00 UTC to Saturday, 23 November 2019 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 : 3431
Unique Edges : 5734
Edges With Duplicates : 2475
Total Edges : 8209
Self-Loops : 699
Reciprocated Vertex Pair Ratio : 0.0197986577181208
Reciprocated Edge Ratio : 0.0388285620269826
Connected Components : 376
Single-Vertex Connected Components : 116
Maximum Vertices in a Connected Component : 2117
Maximum Edges in a Connected Component : 6570
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.78128
Graph Density : 0.000516470901138904
Modularity : 0.650553
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,431 Twitter users whose recent tweets contained "#eaad OR #eaad2019 OR #eaad19 OR #waaw OR #waaw19 OR #waaw2019 OR #antibioticawareness OR #worldantibioticawarenessweek OR #antibioticawarenessweek OR "antibiotic awareness week" OR "antibiotic awareness day" OR #stopsuperbugs OR #aaw2019 OR #aaw19 OR #antibioticguardian OR #keepantibioticsworking OR #antibioticresistance since:2019-11-23 until:2019-11-24", 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 Sunday, 24 November 2019 at 08:34 UTC.
The tweets in the network were tweeted over the 23-hour, 59-minute period from Saturday, 23 November 2019 at 00:00 UTC to Saturday, 23 November 2019 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 : TwitterSearch
Graph Term : #eaad OR #eaad2019 OR #eaad19 OR #waaw OR #waaw19 OR #waaw2019 OR #antibioticawareness OR #worldantibioticawarenessweek OR #antibioticawarenessweek OR "antibiotic awareness week" OR "antibiotic awareness day" OR #stopsuperbugs OR #aaw2019 OR #aaw19 OR #antibioticguardian OR #keepantibioticsworking OR #antibioticresistance since:2019-11-23 until:2019-11-24
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:
[405] awareness,week [368] antibiotic,awareness [267] world,antibiotic [249] use,antibiotics [216] kerintangan,antibiotik [216] tidak,mampu [214] antibiotik,mengancam [214] mengancam,keselamatan [214] keselamatan,manusia [214] manusia,dan Top Word Pairs in Tweet in G1:
[145] future,#antibiotics [145] #antibiotics,depends [127] awareness,week [120] antibiotics,used [119] antibiotic,awareness [117] world,antibiotic [114] use,antibiotics [105] global,threat [104] week,rise [104] rise,#antibioticresistance Top Word Pairs in Tweet in G2:
[45] antibiotic,awareness [39] antibiotic,resistance [38] awareness,week [32] antimicrobial,stewardship [29] learn,more [29] world,antibiotic [28] check,out [24] #protectantibioticsza,#waaw2019 [21] antimicrobial,resistance [20] #waaw2019,#amr Top Word Pairs in Tweet in G3:
[41] one,health [39] #waaw2019,waawkenya [38] use,antibiotics [36] awareness,week [34] antimicrobial,resistance [21] #waaw2019,#antibioticresistance [20] during,#waaw2019 [19] care,#waaw2019 [19] health,#waaw2019 [19] world,antibiotic Top Word Pairs in Tweet in G4:
[216] kerintangan,antibiotik [216] tidak,mampu [214] antibiotik,mengancam [214] mengancam,keselamatan [214] keselamatan,manusia [214] manusia,dan [214] dan,haiwan [214] haiwan,apabila [214] apabila,bakteria [214] bakteria,menjadi Top Word Pairs in Tweet in G5:
[47] awareness,week [37] use,antibiotics [35] drug,resistant [30] antibiotics,awareness [25] #waaw2019,#stopsuperbugs [23] read,more [23] more,#waaw2019 [22] resistant,infections [21] antibiotic,awareness [21] #amractionng,#waaw2019 Top Word Pairs in Tweet in G6:
[68] #waaw2019,#alimentosantibióticosysalud [61] #alimentosantibióticosysalud,#llamadodecuenca [56] #llamadodecuenca,#waaw2019 [51] #llamadodecuenca,reactgroup [43] reactgroup,faoamericas [40] faoamericas,opsoms [32] #alimentosantibioticosysalud,#llamadodecuenca [27] antibióticos,#waaw2019 [25] resistencia,bacteriana [24] crianza,animales Top Word Pairs in Tweet in G7:
[28] antibiotic,awareness [27] awareness,week [16] antibiotic,resistance [16] world,antibiotic [7] use,antibiotics [5] u,s [5] #antibioticresistance,#antibioticawarenessweek [4] #beantibioticsaware,#antibioticawarenessweek [4] #antibioticawarenessweek,antibiotic [4] antibiotic,best Top Word Pairs in Tweet in G8:
[71] uso,indebido [59] superbacterias,pueden [55] tienes,gripe [55] gripe,tomes [55] tomes,antibióticos [55] antibióticos,uso [55] indebido,estos [55] estos,medicamentos [55] medicamentos,está [55] está,contribuyendo Top Word Pairs in Tweet in G9:
[61] alexander,fleming [50] sound,one [50] one,note [50] note,warning [50] warning,during [50] during,nobel [50] nobel,lecture [50] lecture,1945 [50] 1945,sir [50] sir,alexander Top Word Pairs in Tweet in G10:
[14] sobre,uso [9] candy,use [9] publicado,datos [9] datos,consumo [9] consumo,antibioticos [9] antibioticos,dhd [9] dhd,j01 [9] j01,según [9] según,países [9] países,2018 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 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 G5:
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: