The graph represents a network of 13,993 Twitter users whose recent tweets contained "#eaad OR #eaad2019 OR #eaad19 OR #waaw OR #waaw19 OR #waaw2019 OR #antibioticresistance OR #antibioticguardian OR #keepantibioticsworking OR #antibioticawareness OR #worldantibioticawarenessweek OR #antibioticawarenessweek OR "antibiotic awareness week" OR "antibiotic awareness day" OR #stopsuperbugs OR #aaw2019 OR #aaw19", 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, 19 November 2019 at 12:33 UTC.
The tweets in the network were tweeted over the 21-hour, 12-minute period from Monday, 18 November 2019 at 14:57 UTC to Tuesday, 19 November 2019 at 12:09 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 : 13993
Unique Edges : 24065
Edges With Duplicates : 7139
Total Edges : 31204
Self-Loops : 2677
Reciprocated Vertex Pair Ratio : 0.0243771210992468
Reciprocated Edge Ratio : 0.0475940366045816
Connected Components : 1106
Single-Vertex Connected Components : 656
Maximum Vertices in a Connected Component : 11648
Maximum Edges in a Connected Component : 28485
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.689514
Graph Density : 0.000126416021863746
Modularity : 0.646834
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 13,993 Twitter users whose recent tweets contained "#eaad OR #eaad2019 OR #eaad19 OR #waaw OR #waaw19 OR #waaw2019 OR #antibioticresistance OR #antibioticguardian OR #keepantibioticsworking OR #antibioticawareness OR #worldantibioticawarenessweek OR #antibioticawarenessweek OR "antibiotic awareness week" OR "antibiotic awareness day" OR #stopsuperbugs OR #aaw2019 OR #aaw19", 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, 19 November 2019 at 12:33 UTC.
The tweets in the network were tweeted over the 21-hour, 12-minute period from Monday, 18 November 2019 at 14:57 UTC to Tuesday, 19 November 2019 at 12:09 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 #antibioticresistance OR #antibioticguardian OR #keepantibioticsworking OR #antibioticawareness OR #worldantibioticawarenessweek OR #antibioticawarenessweek OR "antibiotic awareness week" OR "antibiotic awareness day" OR #stopsuperbugs OR #aaw2019 OR #aaw19
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:
[3481] awareness,week [3325] antibiotic,awareness [2346] world,antibiotic [1789] use,antibiotics [1742] antibiotic,resistance [1280] week,world [1127] future,#antibiotics [1125] #antibiotics,depends [1113] global,threat [1068] rise,#antibioticresistance Top Word Pairs in Tweet in G1:
[569] resistant,bacteria [565] #antibiotic,use [559] drug,resistant [551] here's,addressing [551] addressing,#antibioticresistance [551] #antibioticresistance,everyone's [551] everyone's,responsibility [551] responsibility,drug [551] bacteria,found [551] found,everywhere Top Word Pairs in Tweet in G2:
[481] antibiotic,awareness [385] awareness,week [303] antibiotic,resistance [274] world,antibiotic [199] find,out [191] antibiotic,use [166] out,more [159] everyone,role [158] awareness,day [142] role,play Top Word Pairs in Tweet in G3:
[1024] awareness,week [826] rise,#antibioticresistance [805] future,#antibiotics [805] #antibiotics,depends [804] week,rise [795] antibiotic,awareness [774] world,antibiotic [677] week,world [672] use,antibiotics [647] global,threat Top Word Pairs in Tweet in G4:
[365] awareness,week [309] antibiotic,awareness [263] world,antibiotic [187] become,resistant [187] used,treat [178] antibiotics,used [170] use,antibiotics [168] resistant,antibiotics [161] misuse,overuse [149] everyone,risk Top Word Pairs in Tweet in G5:
[303] awareness,week [292] antibiotic,awareness [255] learn,more [253] #antibioticresistance,#usaaw19 [240] antibiotic,resistance [233] aren,t [218] side,effects [211] #usaaw19,learn [210] antibiotic,use [210] cause,side Top Word Pairs in Tweet in G6:
[125] antibiotic,awareness [120] awareness,week [72] antibiotic,resistance [66] world,antibiotic [28] u,s [25] #antibioticresistance,#antibioticawarenessweek [25] use,antibiotics [22] #antibioticawarenessweek,antibiotic [21] antibiotic,best [21] best,matches Top Word Pairs in Tweet in G7:
[232] #eaad2019,#keepantibioticsworking [228] uso,prudente [173] prudente,antibióticos [154] día,europeo [144] sobre,uso [141] #pranamr19,#eaad2019 [137] europeo,uso [120] #eaad,#eaad2019 [119] uso,inadecuado [118] #keepantibioticsworking,#antibioticresistance Top Word Pairs in Tweet in G8:
[85] awareness,day [82] antibiotic,awareness [51] infection,prevented [51] prevented,antibiotic [51] antibiotic,treatment [51] treatment,avoided [51] best,practices [51] use,antibiotics [50] #healthcare,associated [49] 1,10 Top Word Pairs in Tweet in G9:
[506] jika,anda [275] kerintangan,antibiotik [253] anda,demam [253] demam,biasa [253] biasa,atau [253] atau,demam [253] demam,denggi [253] denggi,selesema [253] selesema,atau [253] atau,batuk Top Word Pairs in Tweet in G10:
[230] #antibioticresistance,apocalypse [229] facing,#antibioticresistance [17] #antibioticresistance,growing [17] growing,global [17] global,public [17] public,health [17] health,threat [17] threat,meet [17] meet,teams [17] teams,fighting 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 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 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 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: