The graph represents a network of 114 Twitter users whose recent tweets were included in a list of 115 tweet IDs, or who were replied to or mentioned in those tweets. The network was obtained from Twitter on Monday, 06 January 2020 at 22:25 UTC.
The tweets in the network were tweeted over the 5-day, 0-hour, 36-minute period from Monday, 12 November 2018 at 03:27 UTC to Saturday, 17 November 2018 at 04:03 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 : 114
Unique Edges : 4
Edges With Duplicates : 246
Total Edges : 250
Self-Loops : 155
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 67
Single-Vertex Connected Components : 56
Maximum Vertices in a Connected Component : 22
Maximum Edges in a Connected Component : 58
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.082857
Graph Density : 0.00364850178543704
Modularity : 0.28264
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 114 Twitter users whose recent tweets were included in a list of 115 tweet IDs, or who were replied to or mentioned in those tweets. The network was obtained from Twitter on Monday, 06 January 2020 at 22:25 UTC.
The tweets in the network were tweeted over the 5-day, 0-hour, 36-minute period from Monday, 12 November 2018 at 03:27 UTC to Saturday, 17 November 2018 at 04:03 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 : TwitterIDList
Graph Term : 115 tweet IDs
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:
[7] help,#stopdrugresistance [6] antimicrobial,resistance [5] overuse,misuse [5] misuse,antibiotics [5] antibiotics,leading [5] leading,causes [5] causes,antimicrobial [5] antibiotic,resistance [5] common,infections [4] use,antibiotics Top Word Pairs in Tweet in G1:
[5] antimicrobial,resistance [5] help,#stopdrugresistance [4] overuse,misuse [4] misuse,antibiotics [4] antibiotics,leading [4] leading,causes [4] causes,antimicrobial [4] health,care [4] care,professional [4] antibiotics,#stopdrugresistance Top Word Pairs in Tweet in G2:
[3] touching,patient [3] everyone,play [3] play,role [3] role,#stopdrugresistance [3] #stopdrugresistance,including [3] including,surgery [2] antibiotic,use [2] new,report Top Word Pairs in Tweet in G3:
[2] without,prescription [2] against,over [2] over,counter [2] counter,antibiotics Top Word Pairs in Tweet in G7:
[2] part,amralliance [2] find,out Top Word Pairs in Tweet in G8:
[2] setmana,mundial [2] mundial,sobre [2] sobre,conscienciació [2] conscienciació,d'un [2] d'un,bon [2] bon,ús [2] ús,dels [2] dels,antibiòtics Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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: