The graph represents a network of 6,815 Twitter users whose recent tweets contained ""antibiotic resistance" OR "antibiotic guardian" OR "keep antibiotics working" OR "antibiotic awareness" OR "antimicrobial awareness" OR "antibiotic awareness" OR "stop superbugs" OR "antimicrobial resistance" OR "stop drug resistance" OR "be antibiotics aware" -#WAAW -#AntimicrobialResistance -#AMR -#HandleWithCare -#EAAD -#AntibioticResistance -#Antibiotics -#KeepAntibioticsWorking -#WAAW21 -#WAAW2021 -#EAAD21 -#EAAD2021", 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 Monday, 22 November 2021 at 07:42 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 19-minute period from Saturday, 13 November 2021 at 13:34 UTC to Monday, 22 November 2021 at 06:53 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 : 6815
Unique Edges : 10900
Edges With Duplicates : 3115
Total Edges : 14015
Self-Loops : 2117
Reciprocated Vertex Pair Ratio : 0.0311357121676386
Reciprocated Edge Ratio : 0.0603911042944785
Connected Components : 1437
Single-Vertex Connected Components : 887
Maximum Vertices in a Connected Component : 3723
Maximum Edges in a Connected Component : 10117
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.398975
Graph Density : 0.000224646464994495
Modularity : 0.72477
NodeXL Version : 1.0.1.447
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=266850
Data Import : The graph represents a network of 6,815 Twitter users whose recent tweets contained ""antibiotic resistance" OR "antibiotic guardian" OR "keep antibiotics working" OR "antibiotic awareness" OR "antimicrobial awareness" OR "antibiotic awareness" OR "stop superbugs" OR "antimicrobial resistance" OR "stop drug resistance" OR "be antibiotics aware" -#WAAW -#AntimicrobialResistance -#AMR -#HandleWithCare -#EAAD -#AntibioticResistance -#Antibiotics -#KeepAntibioticsWorking -#WAAW21 -#WAAW2021 -#EAAD21 -#EAAD2021", 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 Monday, 22 November 2021 at 07:42 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 19-minute period from Saturday, 13 November 2021 at 13:34 UTC to Monday, 22 November 2021 at 06:53 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 : "antibiotic resistance" OR "antibiotic guardian" OR "keep antibiotics working" OR "antibiotic awareness" OR "antimicrobial awareness" OR "antibiotic awareness" OR "stop superbugs" OR "antimicrobial resistance" OR "stop drug resistance" OR "be antibiotics aware" -#WAAW -#AntimicrobialResistance -#AMR -#HandleWithCare -#EAAD -#AntibioticResistance -#Antibiotics -#KeepAntibioticsWorking -#WAAW21 -#WAAW2021 -#EAAD21 -#EAAD2021
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:
[2965] antimicrobial,resistance [2350] awareness,week [2185] antibiotic,resistance [1653] antimicrobial,awareness [1449] world,antimicrobial [715] antibiotic,awareness [575] spread,awareness [529] awareness,stop [505] stop,resistance [406] resistance,amr Top Word Pairs in Tweet in G1:
[360] awareness,week [299] antibiotic,resistance [293] antimicrobial,resistance [218] antimicrobial,awareness [189] world,antimicrobial [159] antibiotic,awareness [84] 18,24 [57] world,antibiotic [57] week,2021 [44] resistance,amr Top Word Pairs in Tweet in G2:
[337] awareness,week [333] antimicrobial,resistance [293] antimicrobial,awareness [245] world,antimicrobial [180] drug,resistant [178] resistant,infections [169] spread,awareness [167] awareness,stop [160] stop,resistance [135] https,t Top Word Pairs in Tweet in G3:
[283] antimicrobial,resistance [141] stewardship,england [136] #espaur,report [129] awareness,week [114] antimicrobial,awareness [105] world,antimicrobial [96] annual,surveillance [96] resistance,utilisation [96] utilisation,stewardship [93] report,national Top Word Pairs in Tweet in G4:
[297] antibiotic,resistance [84] awareness,week [79] chance,covid [79] covid,co [79] co,infection [79] infection,winter [79] winter,increased [79] increased,especially [79] especially,hospitalized [79] hospitalized,patients Top Word Pairs in Tweet in G5:
[91] learn,more [85] more,#wewontrest [62] awareness,week [60] antimicrobial,resistance [59] antibiotic,resistance [57] antimicrobial,awareness [56] world,antimicrobial [27] r,d [27] misuse,overuse [27] 10,million Top Word Pairs in Tweet in G6:
[218] antimicrobial,resistance [136] awareness,week [132] world,antimicrobial [108] antimicrobial,awareness [66] spread,awareness [56] awareness,stop [56] stop,resistance [45] theme,spread [34] antibiotic,resistance [34] preserve,antibiotics Top Word Pairs in Tweet in G7:
[121] antimicrobial,resistance [71] resistance,amr [52] antimicrobial,awareness [52] awareness,week [50] antibiotic,resistance [38] changing,patient [38] patient,public [38] public,beliefs [38] beliefs,antimicrobials [38] antimicrobials,antimicrobial Top Word Pairs in Tweet in G8:
[106] awareness,week [82] antimicrobial,resistance [59] antibiotic,awareness [55] animal,health [53] awareness,day [50] european,antibiotic [41] antimicrobial,awareness [32] world,antimicrobial [31] superintending,veterinary [28] health,awareness Top Word Pairs in Tweet in G9:
[119] smaller,mm [119] mm,waves [119] waves,5g [119] 5g,causes [119] causes,harm [119] harm,skin [119] skin,eyes [119] eyes,immune [119] immune,system [119] system,bacterial Top Word Pairs in Tweet in G10:
[321] antimicrobial,resistance [249] antibiotic,resistance [226] movetheworldaf,#animalsmatteraf [56] awareness,week [53] global,health [47] use,antibiotics [47] resistance,#animalsmatteraf [43] 10,million [42] resistance,one [42] spread,antibiotic 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: