The graph represents a network of 3,972 Twitter users whose recent tweets were included in a list (Tweet ID List #AG #KAW 2020 (adding missing RTs)) of 6852 tweet IDs, or who were replied to or mentioned in those tweets. 6680 out of 6852 tweets were collected. The network was obtained from Twitter on Monday, 17 January 2022 at 19:58 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 23-minute period from Wednesday, 18 November 2020 at 00:13 UTC to Tuesday, 24 November 2020 at 23:36 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 : 3972
Unique Edges : 7491
Edges With Duplicates : 4200
Total Edges : 11691
Self-Loops : 1359
Reciprocated Vertex Pair Ratio : 0.0538331819950707
Reciprocated Edge Ratio : 0.102166420482521
Connected Components : 337
Single-Vertex Connected Components : 229
Maximum Vertices in a Connected Component : 3328
Maximum Edges in a Connected Component : 10833
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.612926
Graph Density : 0.000515063515624227
Modularity : 0.5522
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,972 Twitter users whose recent tweets were included in a list (Tweet ID List #AG #KAW 2020 (adding missing RTs)) of 6852 tweet IDs, or who were replied to or mentioned in those tweets. 6680 out of 6852 tweets were collected. The network was obtained from Twitter on Monday, 17 January 2022 at 19:58 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 23-minute period from Wednesday, 18 November 2020 at 00:13 UTC to Tuesday, 24 November 2020 at 23:36 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 2020 (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:
[634] #waaw,#keepantibioticsworking [525] #eaad,#waaw [467] #antibioticguardian,#keepantibioticsworking [344] utilizas,mal [344] mal,pones [344] pones,riesgo [344] riesgo,salud [344] salud,#antibióticos [344] #antibióticos,curan [344] curan,virus Top Word Pairs in Tweet in G1:
[187] #keepantibioticsworking,#antibioticresistance [141] don,t [140] awareness,day [135] #keepantibioticsworking,#amr [121] use,antibiotics [110] #keepantibioticsworking,#eaad [108] #eaad2020,#keepantibioticsworking [103] antibiotic,awareness [96] european,antibiotic [84] #eaad,#keepantibioticsworking Top Word Pairs in Tweet in G2:
[335] #eaad,#waaw [331] #waaw,#keepantibioticsworking [330] utilizas,mal [330] mal,pones [330] pones,riesgo [330] riesgo,salud [330] salud,#antibióticos [330] #antibióticos,curan [330] curan,virus [330] virus,#gripe Top Word Pairs in Tweet in G3:
[118] #antibioticguardian,#keepantibioticsworking [90] one,urgent [90] urgent,global [89] #waaw,#waaw2020 [84] antibiotic,guardian [83] #worldantimicrobialawarenessweek,#waaw [75] #waaw2020,#keepantibioticsworking [71] tackling,#antimicrobialresistance [68] side,effects [68] #keepantibioticsworking,#doit4das Top Word Pairs in Tweet in G4:
[154] #antibioticguardian,#keepantibioticsworking [83] south,west [67] series,pledges [64] antimicrobial,resistance [55] one,urgent [55] urgent,global [55] global,threats [52] threats,health [48] #worldantimicrobialawarenessweek,sharing [48] sharing,series Top Word Pairs in Tweet in G5:
[59] #antibioticguardian,#keepantibioticsworking [46] actions,protect [45] protect,#antibiotics [41] pledged,#antibioticguardian [41] #keepantibioticsworking,actions [41] #antibiotics,join [31] find,out [26] out,more [24] taking,antibiotics [23] become,#antibioticguardian Top Word Pairs in Tweet in G6:
[136] #keepantibioticsworking,#antibioticawarenessweek [127] #antibioticresistance,#keepantibioticsworking [123] #antibioticawarenessweek,#waaw2020 [58] #eaad,#waaw [50] farmers,vets [48] antibiotic,resistance [41] responsible,use [41] #eaad,#keepantibioticsworking [40] check,out [38] #keepantibioticsworking,check Top Word Pairs in Tweet in G7:
[60] #keepantibioticsworking,#eaad [45] awareness,day [40] gli,#antibiotici [35] antibiotic,awareness [33] #keepantibioticsworking,#waaw [32] degli,#antibiotici [31] #antibiotici,sono [31] sono,inefficaci [31] inefficaci,contro [31] contro,virus Top Word Pairs in Tweet in G8:
[55] antibiotic,use [52] english,surveillance [52] surveillance,programme [52] programme,antibiotic [52] use,resistance [52] resistance,2019 [52] 2019,20 [52] 20,report [52] report,out [52] out,today Top Word Pairs in Tweet in G9:
[155] #amr,#薬剤耐性 [155] #waaw,#keepantibioticsworking [122] 抗菌薬,抗生物質 [118] #薬剤耐性,#waaw [99] 11月は薬剤耐性,amr [99] amr,対策推進月間です [99] 抗生物質,が効かない未来をなくすために薬剤耐性を正しく知りましょう [94] #はたらく細胞,#amr [83] 対策推進月間です,11月18日からの世界抗菌薬啓発週間には世界各国で取り組みが行われます [83] 11月18日からの世界抗菌薬啓発週間には世界各国で取り組みが行われます,抗菌薬 Top Word Pairs in Tweet in G10:
[87] hoy,sumo [87] sumo,campaña [87] campaña,#diaeuropeousoprudenteantibioticos [87] #diaeuropeousoprudenteantibioticos,advertir [87] advertir,daño [87] daño,provocar [87] provocar,uso [87] uso,excesivo [87] excesivo,e [87] e,inadecuado Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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 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: