The graph represents a network of 6 specified Twitter users (54). The network was obtained from Twitter on Wednesday, 22 April 2020 at 16:56 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 : 5
Edges With Duplicates : 4225
Total Edges : 4230
Number of Edge Types : 4
Tweet : 4226
Mentions : 2
Retweet : 1
Replies to : 1
Self-Loops : 4226
Reciprocated Vertex Pair Ratio : 0.333333333333333
Reciprocated Edge Ratio : 0.5
Connected Components : 3
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 4
Maximum Edges in a Connected Component : 3883
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.111111
Graph Density : 0.133333333333333
Modularity : 0.001181
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 6 specified Twitter users (54). The network was obtained from Twitter on Wednesday, 22 April 2020 at 16:56 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 : 54
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 G2:
[121] techstars,#mobility [47] #cars,#vroom [43] steve,jobs [43] shiva,bhardwaj [39] ford,gt [39] #cars,#speed [38] #cars,#shocklock [38] demo,day [37] auto,show [36] #entrepreneurs,#shocklock Top Word Pairs in Tweet in G3:
[17] wise,systems [11] supply,chain [10] co,founder [9] #logistics,#supplychain [9] last,mile [9] chazz,sims [9] ceo,chazz [8] route,optimization [8] learn,more [8] disruptive,trends Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3: