Twitter Users User List - @rcpsglasgow
Uploaded on:
July 06, 2020
Short Description:
User List - @rcpsglasgow via NodeXL
https://bit.ly/3iDBAd2@rcpsglasgow
@lothianleader
@dwilkin1980
@becksmetcalfe
@vgreiggreig
@kandyganesan
@sqsfellowship
@wosemtrainees
@med_acute
@edcriticalcare
Top hashtags:
#covid19
#medicine24
#wellbeing
#wearercpsg
Description:
The graph represents a network of 1 specified Twitter user (User List - @rcpsglasgow). The network was obtained from Twitter on Monday, 06 July 2020 at 17:10 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 : 1554
Unique Edges : 881
Edges With Duplicates : 7122
Total Edges : 8003
Self-Loops : 873
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1554
Maximum Edges in a Connected Component : 8003
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.997427
Graph Density : 0.000643500643500643
Modularity : 0.156434
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 1 specified Twitter user (User List - @rcpsglasgow). The network was obtained from Twitter on Monday, 06 July 2020 at 17:10 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 : User List - @rcpsglasgow
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:
[155] book,place [144] view,full [125] full,details [110] covid,19 [102] find,out [76] travel,medicine [70] place,website [59] looking,forward [56] full,programme [54] out,more Top Word Pairs in Tweet in G1:
[155] book,place [144] view,full [125] full,details [110] covid,19 [102] find,out [76] travel,medicine [70] place,website [59] looking,forward [56] full,programme [54] out,more 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: