The graph represents a network of 6 specified Twitter users (112). The network was obtained from Twitter on Wednesday, 29 April 2020 at 20:58 UTC.
It shows who was mentioned or replied to in the users' recent tweets. It includes only the specified users.
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 : 6
Unique Edges : 6
Edges With Duplicates : 6879
Total Edges : 6885
Number of Edge Types : 5
Mentions : 37
Tweet : 6796
Replies to : 1
Retweet : 49
MentionsInRetweet : 2
Self-Loops : 6842
Reciprocated Vertex Pair Ratio : 0.461538461538462
Reciprocated Edge Ratio : 0.631578947368421
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 6
Maximum Edges in a Connected Component : 6885
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 0.944444
Graph Density : 0.633333333333333
Modularity : 0.002246
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 6 specified Twitter users (112). The network was obtained from Twitter on Wednesday, 29 April 2020 at 20:58 UTC.
It shows who was mentioned or replied to in the users' recent tweets. It includes only the specified users.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterUsers
Graph Term : 112
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[260] patient,experience [175] practice,management [103] qinec,touch [98] qinec,enterprise [73] looking,forward [70] outpatient,care [63] management,software [59] 30,days [57] using,qinec [55] find,more Top Word Pairs in Tweet in G1:
[260] patient,experience [175] practice,management [103] qinec,touch [98] qinec,enterprise [73] looking,forward [70] outpatient,care [63] management,software [59] 30,days [57] using,qinec [55] find,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: