The graph represents a network of 19,538 Twitter users whose recent tweets were included in a list (Tweet ID List #ag #kaw 2017-2021 inclusive) of 49013 tweet IDs, or who were replied to or mentioned in those tweets. 48718 out of 49013 tweets were collected. The network was obtained from Twitter on Tuesday, 18 January 2022 at 01:42 UTC.
The tweets in the network were tweeted over the 1472-day, 23-hour, 16-minute period from Monday, 13 November 2017 at 00:00 UTC to Wednesday, 24 November 2021 at 23:16 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 : 19538
Unique Edges : 47116
Edges With Duplicates : 48988
Total Edges : 96104
Self-Loops : 8145
Reciprocated Vertex Pair Ratio : 0.0559264653036521
Reciprocated Edge Ratio : 0.10592871216192
Connected Components : 986
Single-Vertex Connected Components : 710
Maximum Vertices in a Connected Component : 17924
Maximum Edges in a Connected Component : 94014
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.044174
Graph Density : 0.000146261373039944
Modularity : 0.419705
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 19,538 Twitter users whose recent tweets were included in a list (Tweet ID List #ag #kaw 2017-2021 inclusive) of 49013 tweet IDs, or who were replied to or mentioned in those tweets. 48718 out of 49013 tweets were collected. The network was obtained from Twitter on Tuesday, 18 January 2022 at 01:42 UTC.
The tweets in the network were tweeted over the 1472-day, 23-hour, 16-minute period from Monday, 13 November 2017 at 00:00 UTC to Wednesday, 24 November 2021 at 23:16 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 2017-2021 inclusive
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:
[4484] antibiotic,awareness [3751] awareness,week [3682] #antibioticguardian,#keepantibioticsworking [2854] antibiotic,resistance [2256] #antibioticresistance,#keepantibioticsworking [2152] antibiotic,use [2091] awareness,day [2008] #keepantibioticsworking,#antibioticresistance [1966] find,out [1963] world,antibiotic Top Word Pairs in Tweet in G1:
[1137] #eaad,#keepantibioticsworking [1100] #keepantibioticsworking,#eaad [1059] #keepantibioticsworking,#antibioticresistance [1003] antibiotic,awareness [828] #eaad,#waaw [804] awareness,day [746] uso,prudente [735] #eaad2019,#keepantibioticsworking [718] #antibioticresistance,#keepantibioticsworking [653] european,antibiotic Top Word Pairs in Tweet in G2:
[2240] #antibioticguardian,#keepantibioticsworking [1731] awareness,week [1656] antibiotic,awareness [1318] #keepantibioticsworking,#antibioticguardian [923] antibiotic,resistance [889] world,antibiotic [816] one,urgent [813] urgent,global [756] antibiotic,use [699] find,out Top Word Pairs in Tweet in G3:
[371] global,health [369] role,play [321] awareness,week [283] urgent,global [282] one,urgent [245] antibiotic,resistance [239] antibiotic,awareness [237] health,threats [226] #antibioticresistance,#keepantibioticsworking [220] use,antibiotics Top Word Pairs in Tweet in G4:
[342] taking,antibiotics [297] always,take [272] help,#keepantibioticsworking [254] don,t [254] advice,antibiotics [244] s,advice [244] antibiotic,resistance [236] antibiotics,#keepantibioticsworking [228] take,doctor [224] doctor,s Top Word Pairs in Tweet in G5:
[368] awareness,day [345] antibiotic,awareness [233] #keepantibioticsworking,#antibioticresistance [220] european,antibiotic [216] use,antibiotics [194] #eaad,#keepantibioticsworking [173] antibiotics,needed [163] don,t [150] using,antibiotics [139] effective,against Top Word Pairs in Tweet in G6:
[183] #antibioticguardian,#keepantibioticsworking [141] pledged,#antibioticguardian [141] actions,protect [140] protect,#antibiotics [139] #antibiotics,join [114] #keepantibioticsworking,actions [87] antibiotic,resistance [68] urgent,global [67] one,urgent [57] resistance,one Top Word Pairs in Tweet in G7:
[241] #antibioticresistance,#keepantibioticsworking [149] antibiotic,awareness [149] #eaad,#antibioticresistance [147] #antibioticguardian,#keepantibioticsworking [142] #keepantibioticsworking,#waaw [142] find,out [140] #waaw,#eaad [137] #eaad,#waaw [137] awareness,week [115] #keepantibioticsworking,#stopsuperbugs Top Word Pairs in Tweet in G8:
[770] more,work [413] antibiotic,use [399] #amr,#waaw2019 [395] learn,more [386] #antimicrobialresistance,doing [386] doing,fight [386] fight,antibiotic [386] use,reduced [386] reduced,20 [386] 20,past Top Word Pairs in Tweet in G9:
[159] antibiotic,resistance [85] antibiotic,awareness [75] awareness,week [71] out,more [60] find,out [58] check,out [57] antimicrobial,resistance [55] world,antibiotic [54] #eaad,#keepantibioticsworking [54] farmers,vets Top Word Pairs in Tweet in G10:
[126] awareness,week [108] antibiotic,awareness [87] #keepantibioticsworking,#thinktwiceseekadvice [83] world,antibiotic [77] infections,#keepantibioticsworking [76] wake,up [76] up,canada [76] canada,risks [76] risks,antibiotic [76] antibiotic,misuse 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 G9:
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 G9:
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: