Twitter Users User List - theqcommunity
Uploaded on:
August 15, 2020
Short Description:
User List - theqcommunity via NodeXL
https://bit.ly/2PUvqbx@theqcommunity
@patientparticip
@carldavies_id
@torchbearingltd
@chris_collison
@evelyn_prodger
@portsmouthqi
@gillryan13qi
@mareetoddmsp
@jodiemazur
Top hashtags:
#qcommunity
#qexchange
#covid19
#qvisits
Description:
The graph represents a network of 1 specified Twitter user (User List - theqcommunity). The network was obtained from Twitter on Saturday, 15 August 2020 at 11:20 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 : 1863
Unique Edges : 1068
Edges With Duplicates : 6721
Total Edges : 7789
Self-Loops : 705
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1863
Maximum Edges in a Connected Component : 7789
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.997854
Graph Density : 0.000536768652710682
Modularity : 0.181941
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 1 specified Twitter user (User List - theqcommunity). The network was obtained from Twitter on Saturday, 15 August 2020 at 11:20 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 - theqcommunity
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:
[301] find,out [267] out,more [133] health,care [110] #qexchange,2019 [109] check,out [107] looking,forward [103] #qcommunity,members [85] quality,improvement [78] covid,19 [77] read,now Top Word Pairs in Tweet in G1:
[301] find,out [267] out,more [133] health,care [110] #qexchange,2019 [109] check,out [107] looking,forward [103] #qcommunity,members [85] quality,improvement [78] covid,19 [77] read,now 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: