The graph represents a network of 2,630 Twitter users whose recent tweets contained "#USAAW19", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 25 November 2019 at 12:19 UTC.
The tweets in the network were tweeted over the 9-day, 7-hour, 54-minute period from Saturday, 16 November 2019 at 03:00 UTC to Monday, 25 November 2019 at 10:55 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 : 2630
Unique Edges : 4064
Edges With Duplicates : 2314
Total Edges : 6378
Self-Loops : 750
Reciprocated Vertex Pair Ratio : 0.0282563749138525
Reciprocated Edge Ratio : 0.0549597855227882
Connected Components : 142
Single-Vertex Connected Components : 94
Maximum Vertices in a Connected Component : 2390
Maximum Edges in a Connected Component : 6015
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.310716
Graph Density : 0.000647356843166379
Modularity : 0.52146
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,630 Twitter users whose recent tweets contained "#USAAW19", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 25 November 2019 at 12:19 UTC.
The tweets in the network were tweeted over the 9-day, 7-hour, 54-minute period from Saturday, 16 November 2019 at 03:00 UTC to Monday, 25 November 2019 at 10:55 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 : TwitterSearch
Graph Term : #USAAW19
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:
[1137] learn,more [897] #usaaw19,#beantibioticsaware [866] awareness,week [808] #beantibioticsaware,#usaaw19 [750] aren,t [707] antibiotics,kill [699] t,needed [585] side,effects [499] abx,aren [496] #antibioticresistance,#usaaw19 Top Word Pairs in Tweet in G1:
[492] aren,t [491] t,needed [391] learn,more [385] side,effects [379] abx,aren [279] #antibioticresistance,#usaaw19 [259] cause,side [259] effects,lead [258] #antibiotics,one [258] one,powerful Top Word Pairs in Tweet in G2:
[686] antibiotics,kill [367] learn,more [345] #usaaw19,#beantibioticsaware [344] awareness,week [343] kill,bacteria [343] bacteria,antibiotics [343] kill,viruses [343] viruses,antibiotics [343] antibiotics,awareness [343] week,take Top Word Pairs in Tweet in G3:
[132] #beantibioticsaware,#usaaw19 [126] core,elements [113] antibiotic,stewardship [112] elements,hospital [112] stewardship,programs [105] hospital,antibiotic [101] #usaaw19,#waaw2019 [90] awareness,week [85] antibiotic,awareness [79] hospital,pharmacists Top Word Pairs in Tweet in G4:
[127] learn,more [106] #beantibioticsaware,#usaaw19 [98] antibiotic,use [87] #antibioticresistance,#usaaw19 [81] #usaaw19,#beantibioticsaware [68] improving,antibiotic [64] aren,t [59] more,#usaaw19 [58] save,lives [58] #usaaw19,#antibioticresistance Top Word Pairs in Tweet in G5:
[123] #beantibioticsaware,#usaaw19 [74] #usaaw19,#beantibioticsaware [70] antibiotic,awareness [66] awareness,week [62] antibiotic,prescribing [61] aren,t [60] antibiotic,resistance [51] u,s [46] t,needed [46] improving,antibiotic Top Word Pairs in Tweet in G6:
[48] #beantibioticsaware,#usaaw19 [32] learn,more [31] #usaaw19,#beantibioticsaware [30] #usaaw19,cdcgov [28] awareness,week [26] #antibioticresistance,occurs [26] occurs,bacteria [26] drugs,designed [26] designed,kill [26] kill,#beantibioticsaware Top Word Pairs in Tweet in G7:
[40] #beantibioticsaware,#usaaw19 [34] #usaaw19,#beantibioticsaware [26] u,s [26] awareness,week [23] feel,better [22] antibiotic,awareness [20] learn,more [16] s,antibiotic [12] prescribing,use [12] everyone,role Top Word Pairs in Tweet in G8:
[56] #beantibioticsaware,#usaaw19 [54] #usaaw19,#beantibioticsaware [37] awareness,week [29] antibiotic,awareness [25] antimicrobial,stewardship [22] #beantibioticsaware,#antibioticresistance [16] antibiotic,use [16] u,s [15] help,fight [14] cdcgov,chipublichealth Top Word Pairs in Tweet in G9:
[48] drug,resistant [45] #usaaw19,#antibioticresistance [40] resistant,gonorrhea [26] gonorrhea,matter [26] matter,make [26] make,common [26] common,std [26] std,untreatable [26] untreatable,video [26] video,explains Top Word Pairs in Tweet in G10:
[15] cdc,s [13] antibiotic,stewardship [12] #beantibioticsaware,#usaaw19 [11] healthcare,professionals [11] professionals,take [11] take,cdc [11] s,free [11] free,training [11] training,course [11] course,antibiotic 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:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G8:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: