The graph represents a network of 24 Twitter users whose recent tweets were included in a list of 30 tweet IDs, or who were replied to or mentioned in those tweets. The network was obtained from Twitter on Friday, 13 December 2019 at 10:36 UTC.
The tweets in the network were tweeted over the 11-day, 10-hour, 10-minute period from Thursday, 27 September 2018 at 12:00 UTC to Monday, 08 October 2018 at 22:11 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 : 24
Unique Edges : 34
Edges With Duplicates : 49
Total Edges : 83
Self-Loops : 7
Reciprocated Vertex Pair Ratio : 0.166666666666667
Reciprocated Edge Ratio : 0.285714285714286
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 23
Maximum Edges in a Connected Component : 82
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 2.09434
Graph Density : 0.0760869565217391
Modularity : 0.242561
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 24 Twitter users whose recent tweets were included in a list of 30 tweet IDs, or who were replied to or mentioned in those tweets. The network was obtained from Twitter on Friday, 13 December 2019 at 10:36 UTC.
The tweets in the network were tweeted over the 11-day, 10-hour, 10-minute period from Thursday, 27 September 2018 at 12:00 UTC to Monday, 08 October 2018 at 22:11 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 : 30 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] flemingfund,cw_pharmacists [6] partnerships,#ams [6] #ams,project [5] commonwealth,partnerships [5] looking,forward [5] tackle,#amr [4] pleased,announce [4] new,commonwealth [4] thetlinks,cw_pharmacists [4] exciting,new Top Word Pairs in Tweet in G1:
[3] looking,forward [2] #cwpams,#amr [2] flemingfund,thetlinks [2] thetlinks,cw_pharmacists [2] flemingfund,cw_pharmacists Top Word Pairs in Tweet in G2:
[5] tackle,#amr [4] antimicrobial,stewardship [3] partnerships,antimicrobial [2] new,commonwealth [2] commonwealth,partnerships [2] stewardship,project [2] uganda,zambia [2] #cwpams,#stopsuperbugs [2] exciting,new [2] #amr,africa Top Word Pairs in Tweet in G3:
[6] partnerships,#ams [6] #ams,project [5] flemingfund,cw_pharmacists [3] commonwealth,partnerships [3] each,year [3] year,700 [3] 700,000 [3] 000,people [3] people,due [3] due,drug 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:
Top Tweeters in G5: