Twitter Users User List - @ecdc_eu
Uploaded on:
March 31, 2021
Short Description:
User List - @ecdc_eu via NodeXL
https://bit.ly/3dqYti2@ecdc_eu
@marie_em_
@bmi_bund
@newventureman
@mikedeeeeeee
@apfortis
@ilonakickbusch
@janmarcoscience
@mern0k
@miotei
Top hashtags:
#covid19
#sarscov2
#rapidriskassessment
#coronavirus
#ecdc
#hiv
#justpublished
Description:
The graph represents a network of 1 specified Twitter user (User List - @ecdc_eu). The network was obtained from Twitter on Wednesday, 31 March 2021 at 19:27 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 : 945
Unique Edges : 598
Edges With Duplicates : 4784
Total Edges : 5382
Self-Loops : 1059
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 945
Maximum Edges in a Connected Component : 5382
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.995769
Graph Density : 0.00105820105820106
Modularity : 0.144695
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 1 specified Twitter user (User List - @ecdc_eu). The network was obtained from Twitter on Wednesday, 31 March 2021 at 19:27 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 - @ecdc_eu
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:
[486] eu,eea [348] eea,uk [300] find,info [298] deaths,find [296] deaths,eu [278] #covid19,update [266] latest,#rapidriskassessment [265] info,latest [265] #rapidriskassessment,#sarscov2 [264] today's,#covid19 Top Word Pairs in Tweet in G1:
[486] eu,eea [348] eea,uk [300] find,info [298] deaths,find [296] deaths,eu [278] #covid19,update [266] latest,#rapidriskassessment [265] info,latest [265] #rapidriskassessment,#sarscov2 [264] today's,#covid19 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: