Twitter Users User List - @RCPCHtweets
Uploaded on:
July 06, 2020
Short Description:
User List - @RCPCHtweets via NodeXL
https://bit.ly/2NXGxj1@rcpchtweets
@uhbwnhs
@drdanmagnus
@sarahb_paeds
@change4life
@somersetft
@girlguiding
@bedfordcollege
@emma_rcpch
@heads_together
Top hashtags:
#rcpch19
#paediatrics
#stateofchildhealth
#rcpchcourses
Description:
The graph represents a network of 1 specified Twitter user (User List - @RCPCHtweets). The network was obtained from Twitter on Monday, 06 July 2020 at 19:14 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 : 1066
Unique Edges : 641
Edges With Duplicates : 4557
Total Edges : 5198
Self-Loops : 1508
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1066
Maximum Edges in a Connected Component : 5198
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.996249
Graph Density : 0.000938086303939962
Modularity : 0.162965
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 1 specified Twitter user (User List - @RCPCHtweets). The network was obtained from Twitter on Monday, 06 July 2020 at 19:14 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 - @RCPCHtweets
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:
[350] find,out [265] out,more [263] child,health [257] young,people [171] children,young [127] covid,19 [82] check,out [62] rcpch,conference [59] mental,health [51] rcpch,ac Top Word Pairs in Tweet in G1:
[350] find,out [265] out,more [263] child,health [257] young,people [171] children,young [127] covid,19 [82] check,out [62] rcpch,conference [59] mental,health [51] rcpch,ac 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: