The graph represents a network of 29,698 Twitter users whose recent tweets were included in a list (Tweet ID List WAAW 2017 reimport) of 112263 tweet IDs, or who were replied to or mentioned in those tweets. 60408 out of 112263 tweets were collected. The network was obtained from Twitter on Sunday, 02 January 2022 at 23:08 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 55-minute period from Monday, 13 November 2017 at 00:00 UTC to Sunday, 19 November 2017 at 23:55 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 : 29698
Unique Edges : 49812
Edges With Duplicates : 40907
Total Edges : 90719
Self-Loops : 11524
Reciprocated Vertex Pair Ratio : 0.0320861572741621
Reciprocated Edge Ratio : 0.0621772844214958
Connected Components : 3125
Single-Vertex Connected Components : 2445
Maximum Vertices in a Connected Component : 25329
Maximum Edges in a Connected Component : 85280
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.743467
Graph Density : 6.30234540747422E-05
Modularity : 0.465172
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 29,698 Twitter users whose recent tweets were included in a list (Tweet ID List WAAW 2017 reimport) of 112263 tweet IDs, or who were replied to or mentioned in those tweets. 60408 out of 112263 tweets were collected. The network was obtained from Twitter on Sunday, 02 January 2022 at 23:08 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 55-minute period from Monday, 13 November 2017 at 00:00 UTC to Sunday, 19 November 2017 at 23:55 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 2017 reimport
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:
[10710] antibiotic,awareness [10659] awareness,week [8590] world,antibiotic [7046] spread,#antibioticresistance [6929] stop,spread [6797] taking,antibiotics [6402] help,stop [6240] antibiotic,resistance [6027] seek,advice [5491] before,taking Top Word Pairs in Tweet in G1:
[4708] spread,#antibioticresistance [4692] stop,spread [4354] help,stop [4032] taking,antibiotics [3823] awareness,week [3813] seek,advice [3764] antibiotic,awareness [3723] world,antibiotic [3567] before,taking [3564] always,seek Top Word Pairs in Tweet in G2:
[1612] antibiotic,awareness [1537] awareness,week [1102] world,antibiotic [1063] antibiotic,resistance [496] find,out [462] taking,antibiotics [448] spread,#antibioticresistance [429] stop,spread [390] seek,advice [383] #eaad,#keepantibioticsworking Top Word Pairs in Tweet in G3:
[1676] awareness,week [1597] antibiotic,awareness [1315] taking,antibiotics [1225] world,antibiotic [1032] seek,advice [993] spread,#antibioticresistance [942] stop,spread [900] antibiotic,resistance [862] help,stop [837] before,taking Top Word Pairs in Tweet in G4:
[674] antibiotic,resistance [467] awareness,week [453] antibiotic,awareness [336] routine,use [327] use,#antibiotics [305] ministers,back [305] wide,ban [305] ban,routine [304] ask,ministers [304] back,eu Top Word Pairs in Tweet in G5:
[617] awareness,week [585] antibiotic,awareness [515] antibiotic,resistance [263] world,antibiotic [238] use,antibiotics [219] spread,#antibioticresistance [210] stop,spread [196] taking,antibiotics [185] uso,antibióticos [184] help,stop Top Word Pairs in Tweet in G6:
[522] antibiotic,resistance [459] awareness,week [423] antibiotic,awareness [336] world,antibiotic [247] check,out [173] #antibioticresistance,#amrinsight [151] find,out [124] out,infographic [115] help,stop [115] resistance,genes Top Word Pairs in Tweet in G7:
[529] antibiotic,awareness [309] awareness,week [282] find,out [248] out,more [236] world,antibiotic [213] awareness,campaign [211] #waaw17,antibiotic [211] campaign,find [208] more,nhschoices [208] nhschoices,#worldantibioticawarenessweek Top Word Pairs in Tweet in G8:
[384] antibiotic,awareness [362] awareness,week [333] world,antibiotic [144] antibiotic,resistance [113] decision,making [105] #antibioticresistance,cochraneuk [103] sharing,#cochraneevidence [101] use,antibiotics [99] tackle,#antibioticresistance [95] help,tackle Top Word Pairs in Tweet in G9:
[284] antes,tomarlos [282] uso,indebido [282] indebido,antibióticos [282] antibióticos,está [282] está,creando [282] creando,superbacterias [282] superbacterias,pueden [282] pueden,tratar [282] tratar,ningún [282] ningún,medicamento Top Word Pairs in Tweet in G10:
[217] #worldantibioticawarenessweek,#swasthabharat [104] antibiotic,resistance [88] antibiotic,awareness [87] public,health [77] awareness,week [72] right,use [66] #antibioticresistance,illness [66] illness,major [66] major,public [66] health,issue Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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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:
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Top Mentioned in G5:
Top Mentioned in G6:
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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: