The graph represents a network of 11,741 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 since:2019-11-18 until:2019-11-19", 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 17:10 UTC.
The tweets in the network were tweeted over the 23-hour, 58-minute period from Monday, 18 November 2019 at 00:00 UTC to Monday, 18 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 : 11741
Unique Edges : 22191
Edges With Duplicates : 9214
Total Edges : 31405
Self-Loops : 2197
Reciprocated Vertex Pair Ratio : 0.0294397371606433
Reciprocated Edge Ratio : 0.0571956494351825
Connected Components : 805
Single-Vertex Connected Components : 531
Maximum Vertices in a Connected Component : 10320
Maximum Edges in a Connected Component : 29733
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.324175
Graph Density : 0.000172759097656736
Modularity : 0.598365
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 11,741 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 since:2019-11-18 until:2019-11-19", 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 17:10 UTC.
The tweets in the network were tweeted over the 23-hour, 58-minute period from Monday, 18 November 2019 at 00:00 UTC to Monday, 18 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 since:2019-11-18 until:2019-11-19
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:
[5301] antibiotic,awareness [5244] awareness,week [3854] world,antibiotic [2559] use,antibiotics [2324] future,#antibiotics [2321] #antibiotics,depends [2257] rise,#antibioticresistance [2228] week,rise [2143] week,world [1943] proper,use Top Word Pairs in Tweet in G1:
[2018] awareness,week [1864] rise,#antibioticresistance [1842] week,rise [1837] future,#antibiotics [1837] #antibiotics,depends [1609] antibiotic,awareness [1582] world,antibiotic [1496] use,antibiotics [1473] week,world [1468] global,threat Top Word Pairs in Tweet in G2:
[764] antibiotic,awareness [527] awareness,week [400] world,antibiotic [394] #eaad,#eaad2019 [337] awareness,day [316] #eaad2019,#keepantibioticsworking [308] #keepantibioticsworking,#antibioticresistance [300] european,antibiotic [288] antibiotic,resistance [244] #antibioticresistance,#amr Top Word Pairs in Tweet in G3:
[605] awareness,week [497] antibiotic,awareness [453] world,antibiotic [216] #amractionng,#waaw2019 [214] use,antibiotics [169] antibiotic,resistance [160] #naaw2019,#amractionng [142] week,world [131] future,#antibiotics [129] #antibiotics,depends Top Word Pairs in Tweet in G4:
[320] awareness,week [308] antibiotic,awareness [118] antibiotic,resistance [91] antibiotic,stewardship [82] core,elements [81] elements,hospital [79] world,antibiotic [78] use,antibiotics [77] hospital,antibiotic [77] stewardship,programs Top Word Pairs in Tweet in G5:
[336] uso,prudente [265] día,europeo [254] #eaad2019,#keepantibioticsworking [238] europeo,uso [224] prudente,antibióticos [205] #pranamr19,#eaad2019 [120] sobre,uso [91] #eaad,#eaad2019 [88] #fhvsresistenciasantibióticos,#pranamr19 [86] #resistenciaantibióticos,#eaad Top Word Pairs in Tweet in G6:
[213] antibiotic,awareness [187] awareness,week [112] world,antibiotic [99] antibiotic,resistance [37] u,s [35] awareness,day [34] european,antibiotic [33] use,antibiotics [32] public,health [27] 18,24 Top Word Pairs in Tweet in G7:
[258] antibiotic,awareness [156] awareness,day [115] awareness,week [109] world,antibiotic [98] use,antibiotics [81] taking,antibiotics [81] proper,use [79] need,puts [78] antibiotics,need [78] #keepantibioticsworking,#antibioticguardian Top Word Pairs in Tweet in G8:
[101] awareness,week [92] drug,resistant [91] antibiotic,awareness [87] world,antibiotic [69] resistant,infections [67] antimicrobial,resistance [67] find,out [49] s,#worldantibioticawarenessweek [48] resistance,find [46] alanmcn1,laurapiddock Top Word Pairs in Tweet in G9:
[201] antibiotic,resistance [191] antibiotic,awareness [156] awareness,week [153] world,antibiotic [137] find,out [123] growing,problem [121] week,find [121] out,help [121] help,tackle [121] tackle,growing Top Word Pairs in Tweet in G10:
[264] #مقاومة_المضادات_الحيوية,#الصحة_للجميع_وبالجميع [264] #الصحة_للجميع_وبالجميع,#waaw2019 [264] #waaw2019,#waaw [264] #waaw,#who_sudan_team [207] المضادات,الحيوية [204] الحيوية,لا [204] لا,تعالج [204] تعالج,البرد [204] البرد,والإنفلونزا [204] والإنفلونزا,#مقاومة_المضادات_الحيوية 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 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 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: