The graph represents a network of 3,769 Twitter users whose recent tweets contained "#eaad OR #eaad2019 OR #eaad19 OR #waaw OR #waaw19 OR #waaw2019 OR #antibioticawareness OR #worldantibioticawarenessweek OR #antibioticawarenessweek OR "antibiotic awareness week" OR "antibiotic awareness day" OR #stopsuperbugs OR #aaw2019 OR #aaw19 OR #antibioticguardian OR #keepantibioticsworking OR #antibioticresistance until:2019-11-18", 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 Saturday, 23 November 2019 at 15:41 UTC.
The tweets in the network were tweeted over the 3-day, 12-hour, 9-minute period from Thursday, 14 November 2019 at 11:49 UTC to Sunday, 17 November 2019 at 23:59 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 : 3769
Unique Edges : 7927
Edges With Duplicates : 2374
Total Edges : 10301
Self-Loops : 773
Reciprocated Vertex Pair Ratio : 0.0359919739152245
Reciprocated Edge Ratio : 0.0694831134245249
Connected Components : 386
Single-Vertex Connected Components : 197
Maximum Vertices in a Connected Component : 2840
Maximum Edges in a Connected Component : 9105
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.570101
Graph Density : 0.000581695347958173
Modularity : 0.62204
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,769 Twitter users whose recent tweets contained "#eaad OR #eaad2019 OR #eaad19 OR #waaw OR #waaw19 OR #waaw2019 OR #antibioticawareness OR #worldantibioticawarenessweek OR #antibioticawarenessweek OR "antibiotic awareness week" OR "antibiotic awareness day" OR #stopsuperbugs OR #aaw2019 OR #aaw19 OR #antibioticguardian OR #keepantibioticsworking OR #antibioticresistance until:2019-11-18", 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 Saturday, 23 November 2019 at 15:41 UTC.
The tweets in the network were tweeted over the 3-day, 12-hour, 9-minute period from Thursday, 14 November 2019 at 11:49 UTC to Sunday, 17 November 2019 at 23:59 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 : #eaad OR #eaad2019 OR #eaad19 OR #waaw OR #waaw19 OR #waaw2019 OR #antibioticawareness OR #worldantibioticawarenessweek OR #antibioticawarenessweek OR "antibiotic awareness week" OR "antibiotic awareness day" OR #stopsuperbugs OR #aaw2019 OR #aaw19 OR #antibioticguardian OR #keepantibioticsworking OR #antibioticresistance until:2019-11-18
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:
[715] antibiotic,awareness [705] awareness,week [491] world,antibiotic [376] next,week [321] antibiotic,resistance [233] antimicrobial,resistance [219] global,health [197] role,play [177] use,antibiotics [171] twitter,storm Top Word Pairs in Tweet in G1:
[276] awareness,week [233] antibiotic,awareness [199] world,antibiotic [132] https,t [132] t,co [126] next,week [117] aquí,https [105] antimicrobial,resistance [74] antibiotic,resistance [73] use,antibiotics Top Word Pairs in Tweet in G2:
[99] #thensamrc,#antibioticguardian [87] role,play [74] twitter,storm [74] 18,nov [73] mon,18 [71] global,health [70] nov,2019 [69] antibiotic,awareness [69] #antibioticresistance,one [68] everyone,role Top Word Pairs in Tweet in G3:
[72] decision,making [71] new,cdcgov [65] 35,000 [64] improve,antibiotic [61] spread,word [60] prescribing,use [57] cdcgov,report [55] #idtwitter,#medtwitter [55] #medtwitter,#foamed [54] antibiotic,resistant Top Word Pairs in Tweet in G4:
[68] antibiotic,awareness [66] awareness,week [41] world,antibiotic [31] antibiotic,resistance [15] 18,24 [12] 24,november [12] november,2019 [11] antibiotic,resistant [11] next,week [10] don,t Top Word Pairs in Tweet in G5:
[55] 9,15 [33] antibiotic,awareness [33] #eaad,#waaw [30] use,antibiotics [26] next,monday [26] monday,#europeanantibioticawarenessday [26] #europeanantibioticawarenessday,#eaad2019 [26] #eaad2019,follow [26] follow,along [26] along,live Top Word Pairs in Tweet in G6:
[59] drug,resistant [44] resistant,infections [25] become,resistant [25] resistant,antibiotics [24] new,drugs [23] next,week [22] drugs,#stopsuperbugs [22] new,cdcgov [21] latest,research [20] drugs,designed Top Word Pairs in Tweet in G7:
[27] next,week [21] week,guest [21] guest,blogger [21] blogger,science [21] science,health [21] health,blog [21] blog,bugs [21] bugs,need [21] need,drugs [21] drugs,talk Top Word Pairs in Tweet in G8:
[22] 18,24 [17] help,spread [17] spread,word [16] next,week [15] #worldantibioticawarenessweek,happening [15] happening,next [15] week,18 [15] 24,nov [15] nov,year [15] year,re Top Word Pairs in Tweet in G9:
[26] nov,2019 [25] help,spread [25] spread,word [24] s,#antibioticawarenessweek [24] #antibioticawarenessweek,18 [24] 18,22 [24] 22,nov [24] 2019,help [24] word,protect [24] protect,antibiotics Top Word Pairs in Tweet in G10:
[22] antibiotic,awareness [19] awareness,week [14] veterinarians,helped [14] helped,significantly [14] significantly,reduce [14] reduce,use [14] use,antimicrobials [14] antimicrobials,animals [14] animals,through [14] through,education 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 G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: