The graph represents a network of 4,076 Twitter users whose recent tweets contained "#AntibioticGuardian OR #KeepAntibioticsWorking", 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, 18 November 2019 at 16:51 UTC.
The tweets in the network were tweeted over the 8-day, 18-hour, 37-minute period from Saturday, 09 November 2019 at 22:05 UTC to Monday, 18 November 2019 at 16:42 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 : 4076
Unique Edges : 8536
Edges With Duplicates : 5398
Total Edges : 13934
Self-Loops : 951
Reciprocated Vertex Pair Ratio : 0.0479250626293432
Reciprocated Edge Ratio : 0.0914665835152271
Connected Components : 263
Single-Vertex Connected Components : 152
Maximum Vertices in a Connected Component : 3540
Maximum Edges in a Connected Component : 13300
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.181573
Graph Density : 0.000579239841779201
Modularity : 0.530541
NodeXL Version : 1.0.1.421
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=216654
Data Import : The graph represents a network of 4,076 Twitter users whose recent tweets contained "#AntibioticGuardian OR #KeepAntibioticsWorking", 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, 18 November 2019 at 16:51 UTC.
The tweets in the network were tweeted over the 8-day, 18-hour, 37-minute period from Saturday, 09 November 2019 at 22:05 UTC to Monday, 18 November 2019 at 16:42 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 : #AntibioticGuardian OR #KeepAntibioticsWorking
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:
[820] antibiotic,awareness [571] role,play [560] #eaad2019,#keepantibioticsworking [542] global,health [506] awareness,week [469] don,t [449] #antibioticguardian,#keepantibioticsworking [446] everyone,role [446] awareness,day [428] antibiotic,resistance Top Word Pairs in Tweet in G1:
[306] global,health [302] role,play [223] one,urgent [223] urgent,global [223] health,threats [199] #antibioticguardian,#keepantibioticsworking [191] everyone,role [184] threats,everyone [182] #naaw2019,#amractionng [181] #amractionng,#waaw2019 Top Word Pairs in Tweet in G2:
[156] antibiotic,awareness [133] #keepantibioticsworking,#eaad [118] role,play [109] everyone,role [102] #eaad,#eaad2019 [101] #eaad,#waaw [99] use,#antibiotics [95] global,health [93] #keepantibioticsworking,#antibioticresistance [88] awareness,day Top Word Pairs in Tweet in G3:
[210] help,#keepantibioticsworking [206] aren,t [206] t,always [205] antibiotics,aren [205] always,needed [205] needed,feel [205] feel,unwell [205] unwell,coughs [205] coughs,earache [205] earache,sore Top Word Pairs in Tweet in G4:
[219] uso,prudente [196] #eaad2019,#keepantibioticsworking [178] día,europeo [173] europeo,uso [146] prudente,antibióticos [141] https,t [141] t,co [133] aquí,https [116] #pranamr19,#eaad2019 [76] #waaw19,#eaad2019 Top Word Pairs in Tweet in G5:
[226] #eaad2019,#keepantibioticsworking [224] #eaad,#eaad2019 [214] #keepantibioticsworking,#antibioticresistance [186] #antibioticresistance,#amr [173] antibiotics,effective [173] effective,against [173] against,viral [173] viral,infections [173] infections,don [173] don,t Top Word Pairs in Tweet in G6:
[105] antibiotic,awareness [88] awareness,week [86] world,antibiotic [65] taking,antibiotics [64] #keepantibioticsworking,#antibioticguardian [57] need,puts [57] #antibioticguardian,#waaw2019 [54] antibiotics,need [52] week,taking [52] puts,risk Top Word Pairs in Tweet in G7:
[104] awareness,day [91] antibiotic,awareness [65] antibiotics,needed [60] use,antibiotics [57] antibiotics,#keepantibioticsworking [56] today,eorpoean [56] eorpoean,antibiotic [56] day,please [56] please,help [56] help,ensure Top Word Pairs in Tweet in G8:
[34] #antibioticguardian,#keepantibioticsworking [26] pledged,#antibioticguardian [26] actions,protect [25] #keepantibioticsworking,actions [25] protect,#antibiotics [23] #antibiotics,join [18] antibiotic,resistance [17] antibiotic,awareness [14] role,play [14] everyone,role Top Word Pairs in Tweet in G9:
[26] antibiotic,awareness [25] taking,antibiotics [20] #keepantibioticsworking,#stopsuperbugs [19] world,antibiotic [19] awareness,week [18] sore,throats [18] antibiotic,resistance [14] family,risk [14] advice,#keepantibioticsworking [13] pharmacist's,advice Top Word Pairs in Tweet in G10:
[15] antibiotic,resistance [13] part,#antibioticawarenessweek [13] #antibioticawarenessweek,meet [13] meet,dr [13] dr,elaine [13] elaine,cloutman [13] cloutman,green [13] green,anthony [13] anthony,souza [13] souza,antibiotic Top Replied-To in Entire Graph:
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Top Replied-To in G5:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Mentioned in G6:
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Top Mentioned in G9:
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Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: