The graph represents a network of 67 Twitter users whose recent tweets contained "#AmrActionNg -#naaw2019 -#waaw2019 -#antibioticresistance -#antibioticguardian", 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 12:51 UTC.
The tweets in the network were tweeted over the 7-day, 1-hour, 23-minute period from Monday, 18 November 2019 at 08:00 UTC to Monday, 25 November 2019 at 09:24 UTC.
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 : 67
Unique Edges : 139
Edges With Duplicates : 52
Total Edges : 191
Self-Loops : 23
Reciprocated Vertex Pair Ratio : 0.041958041958042
Reciprocated Edge Ratio : 0.0805369127516778
Connected Components : 4
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 62
Maximum Edges in a Connected Component : 174
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.676005
Graph Density : 0.0336951605608322
Modularity : 0.382555
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 67 Twitter users whose recent tweets contained "#AmrActionNg -#naaw2019 -#waaw2019 -#antibioticresistance -#antibioticguardian", 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 12:51 UTC.
The tweets in the network were tweeted over the 7-day, 1-hour, 23-minute period from Monday, 18 November 2019 at 08:00 UTC to Monday, 25 November 2019 at 09:24 UTC.
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 : #AmrActionNg -#naaw2019 -#waaw2019 -#antibioticresistance -#antibioticguardian
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:
[60] #amractionng,#amractionng [24] awareness,week [14] antibiotic,awareness [13] over,last [13] last,one [13] one,week [13] week,series [13] series,major [13] major,activities [13] activities,ncdcgov Top Word Pairs in Tweet in G1:
[10] over,last [10] last,one [10] one,week [10] week,series [10] series,major [10] major,activities [10] activities,ncdcgov [10] ncdcgov,one [10] one,commemoration [10] commemoration,world Top Word Pairs in Tweet in G2:
[8] taking,antibiotics [8] antibiotics,needed [8] needed,accelerates [8] accelerates,emergence [8] emergence,#amr [8] #amr,one [8] one,biggest [8] biggest,threats [8] threats,global [8] global,health Top Word Pairs in Tweet in G3:
[10] national,antibiotics [10] antibiotics,awareness [10] awareness,week [7] imo,state [5] antimicrobial,resistance [5] resistance,awareness [5] awareness,commemorate [5] commemorate,national [5] week,imo [5] state,joined Top Word Pairs in Tweet in G4:
[60] #amractionng,#amractionng [8] role,play [8] play,comes [8] comes,safeguarding [8] safeguarding,antibiotics [8] antibiotics,need [8] need,team [8] team,up [8] up,great [8] great,volunteers Top Word Pairs in Tweet in G6:
[3] #amractionng,#keepantibioticsworking [2] last,night [2] night,#africawaaw [2] #africawaaw,keep [2] keep,pushing [2] pushing,amidst [2] amidst,odds [2] odds,#amractionng [2] #amractionng,#awareness [2] #awareness,indeed Top Word Pairs in Tweet in G7:
[4] aminu,fell [4] fell,sick [4] sick,yesterday [4] yesterday,aminu [4] aminu,went [4] went,chemist [4] chemist,chinedu [4] chinedu,gave [4] gave,aminu [4] aminu,drugs Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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 Mentioned in G5:
Top Mentioned in G6:
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: