speakerpelosi User Network 3200 2019-11-27 (experimental version)
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Uploaded on:
November 27, 2019
Short Description:
speakerpelosi via NodeXL
http://bit.ly/2rsWzcC@speakerpelosi
@healthright360
@nba
@repkarenbass
@csmonitor
@fareedzakaria
@lcvoters
@warriors
@londonbreed
@lawyerscomm
Top hashtags:
#goptaxscam
#forthepeople
#trumpshutdown
#protectourcare
#abetterdeal
Description:
The graph represents a network of 1 specified Twitter user. The network was obtained from Twitter on Wednesday, 27 November 2019 at 11:40 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 : 521
Unique Edges : 295
Edges With Duplicates : 3512
Total Edges : 3807
Number of Edge Types : 4
Mentions : 1733
Replies to : 20
Retweet : 431
Tweet : 1623
Self-Loops : 1629
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 521
Maximum Edges in a Connected Component : 3807
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.99233
Graph Density : 0.00191938579654511
Modularity : 0.118029
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1 specified Twitter user. The network was obtained from Twitter on Wednesday, 27 November 2019 at 11:40 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 : speakerpelosi
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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[181] health,care [149] pre,existing [126] american,people [121] existing,conditions [92] middle,class [87] trump,admin [65] trump,administration [64] gun,violence [49] national,security [49] president,trump Top Word Pairs in Tweet in G1:
[181] health,care [149] pre,existing [126] american,people [121] existing,conditions [92] middle,class [87] trump,admin [65] trump,administration [64] gun,violence [49] president,trump [49] national,security 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: