Twitter Users cdcgov - user search
Uploaded on:
July 02, 2020
Short Description:
cdcgov - user search via NodeXL
https://bit.ly/2VEgxgT@cdcgov
@antidemrats
@lisavilisa
@austerepatriot
@thenamedicine
@aprildilao
@aacvpr
@deptofdefense
@mdsinvestments
@lungassociation
Top hashtags:
#covid19
#dyk
#ebola
#flu
#coronavirus
#hiv
#drc
#hcps
Description:
The graph represents a network of 1 specified Twitter user (cdcgov - user search). The network was obtained from Twitter on Thursday, 02 July 2020 at 18:17 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 : 370
Unique Edges : 235
Edges With Duplicates : 3466
Total Edges : 3701
Self-Loops : 1799
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 370
Maximum Edges in a Connected Component : 3701
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.989204
Graph Density : 0.0027027027027027
Modularity : 0.08987
NodeXL Version : 1.0.1.437
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=230128
Data Import : The graph represents a network of 1 specified Twitter user (cdcgov - user search). The network was obtained from Twitter on Thursday, 02 July 2020 at 18:17 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 : cdcgov - user search
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:
[637] learn,more [180] public,health [162] cdc,s [144] covid,19 [144] e,cigarette [129] u,s [124] spread,#covid19 [119] cigarette,vaping [118] protect,yourself [89] don,t Top Word Pairs in Tweet in G1:
[637] learn,more [180] public,health [162] cdc,s [144] e,cigarette [144] covid,19 [129] u,s [124] spread,#covid19 [119] cigarette,vaping [118] protect,yourself [89] don,t 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: