The graph represents a network of 29,677 Twitter users whose recent tweets were included in a list (Tweet ID List WAAW and associated 2018) of 71441 tweet IDs, or who were replied to or mentioned in those tweets. 61092 out of 71441 tweets were collected. The network was obtained from Twitter on Tuesday, 04 January 2022 at 13:40 UTC.
The tweets in the network were tweeted over the 8-day, 16-hour, 53-minute period from Sunday, 11 November 2018 at 06:40 UTC to Monday, 19 November 2018 at 23:34 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 : 29677
Unique Edges : 60898
Edges With Duplicates : 44631
Total Edges : 105529
Self-Loops : 8916
Reciprocated Vertex Pair Ratio : 0.0393228072281923
Reciprocated Edge Ratio : 0.0756700554528651
Connected Components : 1983
Single-Vertex Connected Components : 1452
Maximum Vertices in a Connected Component : 26565
Maximum Edges in a Connected Component : 101486
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.019993
Graph Density : 7.86288412706292E-05
Modularity : 0.476872
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 29,677 Twitter users whose recent tweets were included in a list (Tweet ID List WAAW and associated 2018) of 71441 tweet IDs, or who were replied to or mentioned in those tweets. 61092 out of 71441 tweets were collected. The network was obtained from Twitter on Tuesday, 04 January 2022 at 13:40 UTC.
The tweets in the network were tweeted over the 8-day, 16-hour, 53-minute period from Sunday, 11 November 2018 at 06:40 UTC to Monday, 19 November 2018 at 23:34 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 associated 2018
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:
[10966] awareness,week [10919] antibiotic,awareness [8283] world,antibiotic [4779] use,antibiotics [4769] antibiotic,resistance [3483] proper,use [3470] week,world [3368] rise,#antibioticresistance [3239] antibiotics,key [3211] age,country Top Word Pairs in Tweet in G1:
[2713] antibiotic,awareness [2633] awareness,week [1690] world,antibiotic [1384] antibiotic,resistance [929] antibiotic,use [813] global,health [765] antimicrobial,resistance [707] #antibioticguardian,#keepantibioticsworking [654] use,antibiotics [624] help,fight Top Word Pairs in Tweet in G2:
[2515] awareness,week [2451] antibiotic,awareness [2385] world,antibiotic [2240] proper,use [2218] use,antibiotics [2201] rise,#antibioticresistance [2102] antibiotics,key [2080] key,#stopdrugresistance [2045] global,threat [2016] age,country Top Word Pairs in Tweet in G3:
[1625] antibiotic,awareness [1429] awareness,week [1213] world,antibiotic [621] #eaad,#keepantibioticsworking [571] use,antibiotics [569] seek,advice [553] global,health [522] data,#euamraction [486] #antibiotics,use [485] #waaw18,#keepantibioticsworking Top Word Pairs in Tweet in G4:
[551] awareness,week [510] antibiotic,awareness [509] antibiotic,resistance [350] antibiotic,use [328] world,antibiotic [285] improving,antibiotic [274] role,play [270] global,health [248] everyone,role [245] fight,#antibioticresistance Top Word Pairs in Tweet in G5:
[770] awareness,week [689] antibiotic,awareness [609] world,antibiotic [387] taking,antibiotics [377] antibiotics,working [351] antibiotic,resistance [350] #keep,antibiotics [350] working,#waaw18 [339] don,t [306] t,need Top Word Pairs in Tweet in G6:
[798] uso,prudente [554] sobre,uso [483] prudente,#antibióticos [380] europeo,uso [371] día,europeo [344] antibióticos,tómatelos [344] tómatelos,serio [333] semana,mundial [311] serio,#eaad2018 [300] mundial,concienciación Top Word Pairs in Tweet in G7:
[480] awareness,week [464] antibiotic,awareness [280] antibiotic,resistance [265] world,antibiotic [210] #antibioticawarenessweek,antibiotic [210] antibiotic,best [210] best,matches [210] matches,personality [207] #beantibioticsaware,#antibioticawarenessweek [105] antibiotic,use Top Word Pairs in Tweet in G8:
[628] uso,indebido [539] pone,riesgo [449] resistencia,antibióticos [448] usa,antibióticos [332] sobre,uso [321] amenaza,salud [317] antibióticos,gran [317] gran,amenaza [317] salud,uso [317] indebido,nos Top Word Pairs in Tweet in G9:
[882] alexander,fleming [518] 1928,alexander [518] fleming,discovered [518] discovered,mould [518] mould,working [518] working,produced [518] produced,substance [518] substance,kill [518] kill,many [518] many,common Top Word Pairs in Tweet in G10:
[314] awareness,week [254] antibiotic,awareness [215] world,antibiotic [207] find,out [184] antimicrobial,resistance [108] antibiotic,resistance [99] antibiotic,use [96] global,health [95] out,more [83] world,antibiotics Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: