Twitter Users bmj_latest user import 13032021
Uploaded on:
March 13, 2021
Short Description:
bmj_latest user import 13032021 via NodeXL
https://bit.ly/30IxTLm@bmj_latest
@drjessigold
@p4hr
@cheamfields
@drrachellowe
@hifa_org
@dorisdukefdn
@saxinstitute
@sdenegri
@sophie_stan2
Top hashtags:
#covid19
#bmjopinion
#bmjresearch
#covidunknowns
#pmac2021
Description:
The graph represents a network of 1 specified Twitter user (bmj_latest user import 13032021). The network was obtained from Twitter on Saturday, 13 March 2021 at 10:30 UTC.
It shows who was mentioned or replied to in the users' recent tweets.
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 : 1207
Unique Edges : 624
Edges With Duplicates : 4870
Total Edges : 5494
Self-Loops : 854
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1207
Maximum Edges in a Connected Component : 5494
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.996687
Graph Density : 0.000828500414250207
Modularity : 0.171378
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 1 specified Twitter user (bmj_latest user import 13032021). The network was obtained from Twitter on Saturday, 13 March 2021 at 10:30 UTC.
It shows who was mentioned or replied to in the users' recent tweets.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterUsers
Graph Term : bmj_latest user import 13032021
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:
[603] covid,19 [83] public,health [83] sars,cov [83] cov,2 [60] mental,health [59] 19,vaccine [55] find,out [54] co,production [52] 19,pandemic [44] healthcare,workers Top Word Pairs in Tweet in G1:
[603] covid,19 [83] public,health [83] sars,cov [83] cov,2 [60] mental,health [59] 19,vaccine [55] find,out [54] co,production [52] 19,pandemic [44] healthcare,workers Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Tweeters in Entire Graph:
Top Tweeters in G1: