The graph represents a network of 6,205 Twitter users whose recent tweets were included in a list (Tweet ID List #AG #KAW 2018 (adding missing RTs)) of 12985 tweet IDs, or who were replied to or mentioned in those tweets. 12976 out of 12985 tweets were collected. The network was obtained from Twitter on Monday, 17 January 2022 at 12:31 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 29-minute period from Monday, 12 November 2018 at 00:17 UTC to Sunday, 18 November 2018 at 23:47 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 : 6205
Unique Edges : 13656
Edges With Duplicates : 12784
Total Edges : 26440
Self-Loops : 1829
Reciprocated Vertex Pair Ratio : 0.0558378984885486
Reciprocated Edge Ratio : 0.105769831843471
Connected Components : 367
Single-Vertex Connected Components : 217
Maximum Vertices in a Connected Component : 5503
Maximum Edges in a Connected Component : 25572
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.143419
Graph Density : 0.000415551610538495
Modularity : 0.445243
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,205 Twitter users whose recent tweets were included in a list (Tweet ID List #AG #KAW 2018 (adding missing RTs)) of 12985 tweet IDs, or who were replied to or mentioned in those tweets. 12976 out of 12985 tweets were collected. The network was obtained from Twitter on Monday, 17 January 2022 at 12:31 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 29-minute period from Monday, 12 November 2018 at 00:17 UTC to Sunday, 18 November 2018 at 23:47 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 #AG #KAW 2018 (adding missing RTs)
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:
[1680] antibiotic,awareness [1264] awareness,week [1183] #antibioticguardian,#keepantibioticsworking [1153] antibiotic,resistance [936] antibiotic,use [898] global,health [842] role,play [821] #eaad,#keepantibioticsworking [817] everyone,role [799] one,urgent Top Word Pairs in Tweet in G1:
[545] #eaad,#keepantibioticsworking [502] data,#euamraction [476] #waaw18,#keepantibioticsworking [455] #antibiotics,use [423] check,data [414] #euamraction,#waaw18 [362] antibiotic,awareness [338] #keepantibioticsworking,#eaad [306] awareness,day [291] new,#eurobarometer Top Word Pairs in Tweet in G2:
[436] antibiotic,awareness [425] awareness,week [421] #antibioticguardian,#keepantibioticsworking [322] antibiotic,resistance [321] antibiotic,use [309] global,health [307] role,play [306] everyone,role [302] help,fight [299] one,urgent Top Word Pairs in Tweet in G3:
[316] antibiotic,awareness [295] awareness,week [264] #keepantibioticsworking,#waaw2018 [260] #waaw2018,#doit4das [235] #keepantibioticsworking,#doit4das [220] #antibioticguardian,#doit4das [219] #keepantibioticsworking,#antibioticguardian [217] #antibioticguardian,#keepantibioticsworking [189] uhbipc,#keepantibioticsworking [162] #waaw2018,#keepantibioticsworking Top Word Pairs in Tweet in G4:
[134] antibiotic,resistance [124] advice,antibiotics [117] antibiotics,#keepantibioticsworking [114] taking,antibiotics [107] always,take [107] s,advice [105] take,doctor [101] don,t [101] doctor,s [92] #antibioticguardian,#keepantibioticsworking Top Word Pairs in Tweet in G5:
[211] uso,prudente [92] prudente,#antibióticos [89] día,europeo [89] europeo,uso [87] prudente,antibióticos [72] #eaad,#keepantibioticsworking [63] hoy,celebramos [63] celebramos,día [63] #antibióticos,#eaad [63] #keepantibioticsworking,ayuda Top Word Pairs in Tweet in G6:
[79] #antibioticguardian,#keepantibioticsworking [75] antibiotic,resistance [61] resistance,one [60] antibiotic,use [59] health,threats [59] one,urgent [59] urgent,global [59] help,fight [59] fight,#antibioticresistance [58] global,health Top Word Pairs in Tweet in G7:
[80] #antibioticresistance,#antibioticguardian [78] make,pledge [53] pledge,today [52] resistance,one [52] #antibioticguardian,#mayorhealth [51] antibiotic,resistance [51] #antibioticguardian,#cwpharmacists [50] #myantibioticspledge,#antibioticguardian [43] #cwpharmacists,cw_pharmacists [42] #antibioticresistance,#waaw2018 Top Word Pairs in Tweet in G8:
[152] 33,000 [135] resistance,antibiotics [135] antibiotics,causes [135] causes,33 [135] 000,deaths [135] deaths,per [135] per,year [135] year,europe [135] europe,many [135] many,people Top Word Pairs in Tweet in G9:
[87] pharmacy,team [71] #antibioticresistance,#keepantibioticsworking [66] #waaw2018,#eaad [64] cv_uhb,pharmacy [52] #keepantibioticsworking,#waaw2018 [48] #eaad,#eaad2018 [48] #eaad2018,#antibioticresistance [45] future,antibiotics [45] antibiotics,hands [38] let's,#keepantibioticsworking Top Word Pairs in Tweet in G10:
[43] antibiotic,awareness [32] world,antibiotic [32] awareness,week [32] antibiotic,use [27] #antibiotic,use [26] antibiotic,resistance [23] responsible,#antibiotic [22] 12,18 [22] 18,nov [21] vets,vet Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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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:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G9:
Top Tweeters in G10: