The graph represents a network of 282 Twitter users whose recent tweets contained "#DoIt4Das", 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 Friday, 26 November 2021 at 19:27 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 26-minute period from Thursday, 18 November 2021 at 09:00 UTC to Thursday, 25 November 2021 at 08:26 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 : 282
Unique Edges : 457
Edges With Duplicates : 363
Total Edges : 820
Self-Loops : 140
Reciprocated Vertex Pair Ratio : 0.0491803278688525
Reciprocated Edge Ratio : 0.09375
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 282
Maximum Edges in a Connected Component : 820
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 2.348851
Graph Density : 0.00646122006006916
Modularity : 0.361594
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 282 Twitter users whose recent tweets contained "#DoIt4Das", 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 Friday, 26 November 2021 at 19:27 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 26-minute period from Thursday, 18 November 2021 at 09:00 UTC to Thursday, 25 November 2021 at 08:26 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 : #DoIt4Das
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:
[330] #antibioticguardian,#keepantibioticsworking [233] #keepantibioticsworking,#waaw2021 [230] #waaw2021,#eaad2021 [228] #eaad2021,#doit4das [166] #waaw2021,#antibioticguardian [161] #keepantibioticsworking,#doit4das [113] #antibioticguardian,#doit4das [109] 38,50 [109] 50,#diagnosticstewardship [109] #diagnosticstewardship,important Top Word Pairs in Tweet in G1:
[248] #antibioticguardian,#keepantibioticsworking [199] #keepantibioticsworking,#waaw2021 [198] #waaw2021,#eaad2021 [197] #eaad2021,#doit4das [101] 38,50 [101] 50,#diagnosticstewardship [101] #diagnosticstewardship,important [101] important,#antimicrobialstewardship [101] #antimicrobialstewardship,elizbeech [101] elizbeech,#antibioticguardian Top Word Pairs in Tweet in G2:
[78] #antibioticguardian,#doit4das [70] inaccurate,penicillin [69] role,play [69] play,tackling [69] tackling,inaccurate [69] penicillin,allergies [69] allergies,reduce [69] reduce,patient [69] patient,harm [69] harm,together Top Word Pairs in Tweet in G3:
[48] #antibioticguardian,#keepantibioticsworking [41] #waaw2021,#antibioticguardian [37] #keepantibioticsworking,#doit4das [22] #keepantibioticsworking,#waaw2021 [20] #waaw2021,#eaad2021 [19] #eaad2021,#doit4das [19] #antibioticguardian,#doit4das [10] antimicrobial,stewardship [9] penicillin,allergy [9] #keepantibioticsworking,#antibioticguardian Top Word Pairs in Tweet in G4:
[4] #antibioticguardian,#doit4das [3] sepsis,children [3] children,state [3] state,art [3] art,treatment [3] treatment,doctorsanjay [3] doctorsanjay,aliciad3 [3] aliciad3,#waaw2021 [3] #waaw2021,#keepantibioticsworking [3] #keepantibioticsworking,#antibioticguardian Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4: