The graph represents a network of 57 Twitter users whose recent tweets were included in a list of 193 tweet IDs, or who were replied to or mentioned in those tweets. The network was obtained from Twitter on Friday, 13 December 2019 at 10:54 UTC.
The tweets in the network were tweeted over the 1-day, 19-hour, 41-minute period from Thursday, 27 September 2018 at 12:00 UTC to Saturday, 29 September 2018 at 07:42 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 : 57
Unique Edges : 6
Edges With Duplicates : 494
Total Edges : 500
Self-Loops : 14
Reciprocated Vertex Pair Ratio : 0.0414201183431953
Reciprocated Edge Ratio : 0.0795454545454545
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 57
Maximum Edges in a Connected Component : 500
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.13358
Graph Density : 0.0551378446115288
Modularity : 0.185378
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 57 Twitter users whose recent tweets were included in a list of 193 tweet IDs, or who were replied to or mentioned in those tweets. The network was obtained from Twitter on Friday, 13 December 2019 at 10:54 UTC.
The tweets in the network were tweeted over the 1-day, 19-hour, 41-minute period from Thursday, 27 September 2018 at 12:00 UTC to Saturday, 29 September 2018 at 07:42 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 : 193 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:
[43] commonwealth,partnerships [36] new,commonwealth [33] antimicrobial,stewardship [32] exciting,new [30] fight,against [30] against,#amr [26] partnerships,#ams [26] #ams,project [26] flemingfund,cw_pharmacists [24] project,support Top Word Pairs in Tweet in G1:
[26] commonwealth,partnerships [21] new,commonwealth [20] fight,against [20] against,#amr [18] exciting,new [17] project,support [17] support,local [16] antimicrobial,stewardship [14] partnerships,antimicrobial [14] partnerships,#ams Top Word Pairs in Tweet in G2:
[11] thetlinks,cw_pharmacists [9] exciting,new [9] commonwealth,partnerships [8] #amr,flemingfund [8] very,much [8] much,looking [8] looking,forward [8] forward,presenting [8] presenting,programme [8] programme,#cwpams Top Word Pairs in Tweet in G3:
[12] antimicrobial,stewardship [8] commonwealth,partnerships [7] new,commonwealth [6] partnerships,antimicrobial [6] pleased,announce [6] ghana,uganda [6] 90,years [6] years,discovery [6] discovery,penicillin [6] penicillin,extremely Top Word Pairs in Tweet in G4:
[3] each,year [3] year,700 [3] 700,000 [3] 000,people [3] people,due [3] due,drug [3] drug,resistant [3] resistant,infections [3] infections,today [3] today,pleased 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: