The graph represents a network of 2,400 Twitter users whose recent tweets contained "#stopdrugresistance OR #NOValenParaTodo OR #ncasaaw2020 OR #usaaw20 OR #beantibioticsaware OR #youthstewardsofamr OR #youthagainstamr OR #antibióticos", 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 Saturday, 21 November 2020 at 11:24 UTC.
The tweets in the network were tweeted over the 9-day, 4-hour, 36-minute period from Thursday, 12 November 2020 at 06:30 UTC to Saturday, 21 November 2020 at 11:06 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 : 2400
Unique Edges : 3323
Edges With Duplicates : 1965
Total Edges : 5288
Self-Loops : 741
Reciprocated Vertex Pair Ratio : 0.0316344463971881
Reciprocated Edge Ratio : 0.0613287904599659
Connected Components : 257
Single-Vertex Connected Components : 204
Maximum Vertices in a Connected Component : 2019
Maximum Edges in a Connected Component : 4780
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.019962
Graph Density : 0.0006117132138391
Modularity : 0.582469
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,400 Twitter users whose recent tweets contained "#stopdrugresistance OR #NOValenParaTodo OR #ncasaaw2020 OR #usaaw20 OR #beantibioticsaware OR #youthstewardsofamr OR #youthagainstamr OR #antibióticos", 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 Saturday, 21 November 2020 at 11:24 UTC.
The tweets in the network were tweeted over the 9-day, 4-hour, 36-minute period from Thursday, 12 November 2020 at 06:30 UTC to Saturday, 21 November 2020 at 11:06 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 : #stopdrugresistance OR #NOValenParaTodo OR #ncasaaw2020 OR #usaaw20 OR #beantibioticsaware OR #youthstewardsofamr OR #youthagainstamr OR #antibióticos
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:
[1011] awareness,week [660] antimicrobial,awareness [654] world,antimicrobial [610] proper,use [607] affect,anyone [606] preserve,antimicrobials [606] anyone,age [606] age,country [605] country,proper [602] use,medicines Top Word Pairs in Tweet in G1:
[588] awareness,week [584] world,antimicrobial [584] antimicrobial,awareness [555] proper,use [553] affect,anyone [553] anyone,age [553] age,country [553] country,proper [551] use,medicines [549] week,#antimicrobialresistance Top Word Pairs in Tweet in G2:
[109] aren,t [95] #antibiotics,aren [90] awareness,week [89] prescribing,use [80] t,always [79] u,s [78] always,answer [77] antibiotics,needed [74] certain,infections [74] infections,caused Top Word Pairs in Tweet in G3:
[225] utilizas,mal [225] mal,pones [225] pones,riesgo [225] riesgo,salud [225] salud,#antibióticos [225] #antibióticos,curan [225] curan,virus [225] virus,#gripe [225] #gripe,#resfriado [224] #novalenparatodo,descarga Top Word Pairs in Tweet in G4:
[75] য,ন [71] ন,ট [70] ব,য [69] অ,য [50] র,ব [49] ট,ম [47] ম,ইক [47] ইক,র [42] awareness,week [42] সচ,তনত Top Word Pairs in Tweet in G5:
[104] #beantibioticsaware,#usaaw20 [76] learn,more [69] awareness,week [62] #usaaw20,#beantibioticsaware [56] antibiotic,resistance [53] antibiotic,awareness [46] u,s [41] #antibiotics,needed [36] proud,#beantibioticsaware [34] taking,#antibiotics Top Word Pairs in Tweet in G6:
[125] #youthagainstamr,#youthstewardsofamr [121] #onehealth,#waaw2020 [120] #youthstewardsofamr,#onehealth [72] amr,youth [72] youth,summit [53] #youthagainstamr,#waaw2020 [50] amsa_intl,official_famsa [49] amr,#youthagainstamr [35] registration,link [35] link,#youthagainstamr Top Word Pairs in Tweet in G7:
[55] antibiotic,awareness [55] awareness,week [35] #usaaw20,#beantibioticsaware [33] check,out [32] daily,blog [32] featuring,sidpharm [21] out,latest [21] latest,daily [21] blog,#usaaw20 [21] #usaaw20,featuring Top Word Pairs in Tweet in G8:
[47] u,s [38] learn,more [24] needed,re [24] re,#usaaw20 [20] antibiotics,needed [19] #beantibioticsaware,partner [19] awareness,week [17] infections,caused [17] caused,bacteria [17] partner,u Top Word Pairs in Tweet in G9:
[38] #ncasaaw2020,#waaw2020 [28] #waaw2020,#ncasaaw2020 [20] 2019,surgical [20] surgical,naps [20] naps,report [17] pm,aedt [16] #waaw2020,webinar [14] 18,nov [12] covid,19 [11] surgical,prophylaxis Top Word Pairs in Tweet in G10:
[81] #beantibioticsaware,#antibioticresistance [78] #dosomething,#beantibioticsaware [70] #antibioticresistance,#superbugs [62] #superbugs,#tinyearthwaaw [35] cdc_ncezid,nih [24] awareness,week [22] #usaaw20,cdc_ncezid [21] nih,niaidnews [19] #beantibioticsaware,#usaaw20 [19] qué,idioma Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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: