The graph represents a network of 15,964 Twitter users whose recent tweets were included in a list (Tweet ID List - WAAW / EAAD to 20/11/2020) of 31374 tweet IDs, or who were replied to or mentioned in those tweets. 30790 out of 31374 tweets were collected. The network was obtained from Twitter on Friday, 20 November 2020 at 21:52 UTC.
The tweets in the network were tweeted over the 18-day, 15-hour, 22-minute period from Monday, 02 November 2020 at 04:03 UTC to Friday, 20 November 2020 at 19:25 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 : 15964
Unique Edges : 34670
Edges With Duplicates : 22907
Total Edges : 57577
Self-Loops : 5492
Reciprocated Vertex Pair Ratio : 0.0485031702292731
Reciprocated Edge Ratio : 0.0925188814043682
Connected Components : 1403
Single-Vertex Connected Components : 995
Maximum Vertices in a Connected Component : 13412
Maximum Edges in a Connected Component : 54090
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.336089
Graph Density : 0.00015379463782234
Modularity : 0.499527
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 15,964 Twitter users whose recent tweets were included in a list (Tweet ID List - WAAW / EAAD to 20/11/2020) of 31374 tweet IDs, or who were replied to or mentioned in those tweets. 30790 out of 31374 tweets were collected. The network was obtained from Twitter on Friday, 20 November 2020 at 21:52 UTC.
The tweets in the network were tweeted over the 18-day, 15-hour, 22-minute period from Monday, 02 November 2020 at 04:03 UTC to Friday, 20 November 2020 at 19:25 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 / EAAD to 20/11/2020
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:
[3916] awareness,week [3051] antimicrobial,awareness [2878] world,antimicrobial [2344] antimicrobial,resistance [1543] https,t [1543] t,co [1199] antibiotic,resistance [1158] preserve,antimicrobials [971] find,out [927] learn,more Top Word Pairs in Tweet in G1:
[1133] awareness,week [910] antimicrobial,awareness [886] world,antimicrobial [826] antimicrobial,resistance [396] find,out [312] out,more [296] #antibioticguardian,#keepantibioticsworking [266] https,t [266] t,co [262] #worldantimicrobialawarenessweek,#waaw Top Word Pairs in Tweet in G2:
[311] awareness,week [269] #eaad,#waaw [265] https,t [265] t,co [264] awareness,day [261] antimicrobial,resistance [260] antibiotic,awareness [224] #keepantibioticsworking,#eaad [223] antimicrobial,awareness [191] don,t Top Word Pairs in Tweet in G3:
[774] awareness,week [741] antimicrobial,awareness [711] world,antimicrobial [616] let's,unite [593] preserve,antimicrobials [567] unite,preserve [499] https,t [499] t,co [408] affect,anyone [406] proper,use Top Word Pairs in Tweet in G4:
[242] uso,prudente [242] #eaad,#waaw [201] #waaw,#keepantibioticsworking [200] utilizas,mal [200] mal,pones [200] pones,riesgo [200] riesgo,salud [200] salud,#antibióticos [200] #antibióticos,curan [200] curan,virus Top Word Pairs in Tweet in G5:
[117] awareness,week [81] antibiotic,resistance [74] antimicrobial,resistance [70] antimicrobial,awareness [66] world,antimicrobial [60] #antibioticguardian,#keepantibioticsworking [57] antibiotic,awareness [55] য,ন [52] antibiotic,resistant [51] ন,ট Top Word Pairs in Tweet in G6:
[271] #antibioticresistance,#waaw [241] side,effects [213] antibiotic,resistance [204] awareness,week [159] antimicrobial,awareness [156] world,antimicrobial [153] one,urgent [143] best,treatment [143] treatment,illness [143] illness,#antibioticresistance Top Word Pairs in Tweet in G7:
[371] awareness,week [337] antimicrobial,awareness [274] world,antimicrobial [265] antimicrobial,resistance [195] humans,animals [195] #amr,#薬剤耐性 [195] #waaw,#keepantibioticsworking [190] animals,plants [186] slow,spread [185] infections,becoming Top Word Pairs in Tweet in G8:
[188] awareness,week [163] senior,technician [161] 2,positions [161] positions,available [161] available,early [161] early,2021 [161] 2021,wellcometrust [161] wellcometrust,project [161] project,evolution [161] evolution,#antimicrobialresistance Top Word Pairs in Tweet in G9:
[110] sound,one [110] one,note [110] note,warning [110] warning,during [110] during,nobel [110] nobel,lecture [110] lecture,1945 [110] 1945,sir [110] sir,alexander [110] alexander,fleming Top Word Pairs in Tweet in G10:
[114] #youthagainstamr,#youthstewardsofamr [110] #onehealth,#waaw2020 [109] #youthstewardsofamr,#onehealth [38] amr,#youthagainstamr [34] amsa_intl,official_famsa [28] semana,mundial [27] sobre,uso [26] uso,antibióticos [23] official_famsa,amsa_intl [23] antimicrobial,resistance Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: