The graph represents a network of 17,573 Twitter users whose recent tweets were included in a list (Tweet ID List #WAAW and related) of 36648 tweet IDs, or who were replied to or mentioned in those tweets. 36157 out of 36648 tweets were collected. The network was obtained from Twitter on Sunday, 21 November 2021 at 18:00 UTC.
The tweets in the network were tweeted over the 17-day, 11-hour, 36-minute period from Thursday, 04 November 2021 at 03:24 UTC to Sunday, 21 November 2021 at 15:01 UTC.
I have an hourly search in TAGS for the following hashtags #WAAW OR #AntimicrobialResistance OR #AMR OR #HandleWithCare OR #EAAD OR #AntibioticResistance OR #Antibiotics OR #KeepAntibioticsWorking OR #WAAW21 OR #WAAW2021 OR #EAAD21 OR #EAAD2021
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 : 17573
Unique Edges : 43506
Edges With Duplicates : 30531
Total Edges : 74037
Self-Loops : 6195
Reciprocated Vertex Pair Ratio : 0.0489315252529493
Reciprocated Edge Ratio : 0.0932978446636915
Connected Components : 1335
Single-Vertex Connected Components : 851
Maximum Vertices in a Connected Component : 14980
Maximum Edges in a Connected Component : 70195
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.33192
Graph Density : 0.000161820505918863
Modularity : 0.495845
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 17,573 Twitter users whose recent tweets were included in a list (Tweet ID List #WAAW and related) of 36648 tweet IDs, or who were replied to or mentioned in those tweets. 36157 out of 36648 tweets were collected. The network was obtained from Twitter on Sunday, 21 November 2021 at 18:00 UTC.
The tweets in the network were tweeted over the 17-day, 11-hour, 36-minute period from Thursday, 04 November 2021 at 03:24 UTC to Sunday, 21 November 2021 at 15:01 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 : TwitterIDList
Graph Term : Tweet ID List #WAAW and related
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:
[4964] awareness,week [4113] antimicrobial,awareness [3704] antimicrobial,resistance [3580] world,antimicrobial [2740] spread,awareness [2410] awareness,stop [2345] https,t [2343] t,co [2323] stop,resistance [1332] antibiotic,awareness Top Word Pairs in Tweet in G1:
[1310] https,t [1308] t,co [1231] awareness,week [1142] antimicrobial,resistance [1097] world,antimicrobial [1095] antimicrobial,awareness [1069] spread,awareness [1011] awareness,stop [980] stop,resistance [801] co,9tdeiz39ps Top Word Pairs in Tweet in G2:
[1287] awareness,week [1080] antimicrobial,awareness [963] world,antimicrobial [829] antimicrobial,resistance [689] #antibioticguardian,#keepantibioticsworking [470] spread,awareness [415] antibiotic,awareness [403] #cpapharm,#waaw [362] awareness,stop [347] find,out Top Word Pairs in Tweet in G3:
[477] awareness,day [427] #eaad,#waaw [375] uso,prudente [367] #eaad,#waaw2021 [333] https,t [333] t,co [321] awareness,week [317] antibiotic,awareness [295] prudente,antibióticos [251] día,europeo Top Word Pairs in Tweet in G4:
[306] awareness,week [231] antimicrobial,awareness [216] world,antimicrobial [112] antimicrobial,resistance [94] imibirmingham,unibirm_mds [89] win,microbiology [81] microbiosoc,bbiosci [77] join,team [77] gene,transfer [76] post,doc Top Word Pairs in Tweet in G5:
[132] awareness,week [91] antimicrobial,awareness [83] antimicrobial,resistance [83] world,antimicrobial [48] antibiotic,resistance [42] 18,24 [40] #antibioticguardian,#keepantibioticsworking [40] spread,awareness [38] antibiotic,awareness [37] #keepantibioticsworking,#waaw Top Word Pairs in Tweet in G6:
[212] awareness,week [148] antibiotic,awareness [119] find,out [111] learn,more [101] antimicrobial,awareness [99] #antibioticresistance,#waaw [96] more,#waaw [85] antibiotic,resistance [84] world,antimicrobial [76] covid,19 Top Word Pairs in Tweet in G7:
[790] #antimicrobialresistance,#keepantibioticsworking [770] #handlewithcare,#antimicrobialresistance [516] antimicrobial,resistance [505] spread,awareness [490] #keepantibioticsworking,#hsaamrawarenessweek [442] stop,resistance [441] awareness,stop [438] #hsaamrawarenessweek,#waaw [426] awareness,week [416] antimicrobial,awareness Top Word Pairs in Tweet in G8:
[62] antibiotic,use [51] sign,petition [46] farmed,animals [44] human,health [43] antibiotics,used [42] awareness,week [39] antibiotic,resistance [38] uk,supermarkets [31] doing,enough [30] routine,use Top Word Pairs in Tweet in G9:
[92] https,t [92] t,co [84] awareness,week [82] antimicrobial,awareness [76] world,antimicrobial [57] #eaad2021,#waaw21 [46] week,#waaw2021 [46] co,2dxdlelkjh [43] consapevole,degli [42] giornata,europea Top Word Pairs in Tweet in G10:
[105] #waaw2021,#antimicrobialresistance [91] antimicrobial,resistance [66] awareness,week [63] spread,awareness [62] antimicrobial,awareness [61] awareness,stop [61] stop,resistance [55] world,antimicrobial [52] #handlewithcare,#amr [45] #antimicrobialresistance,#handlewithcare Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: