The graph represents a network of 2 Twitter users whose recent tweets contained "WMUMedicine", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 06 January 2020 at 18:59 UTC.
The tweets in the network were tweeted over the 3-day, 21-hour, 9-minute period from Monday, 30 December 2019 at 22:18 UTC to Friday, 03 January 2020 at 19:27 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 2
Unique Edges : 1
Edges With Duplicates : 5
Total Edges : 6
Number of Edge Types : 2
Retweet : 1
Tweet : 5
Self-Loops : 5
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 2
Maximum Edges in a Connected Component : 6
Maximum Geodesic Distance (Diameter) : 1
Average Geodesic Distance : 0.5
Graph Density : 0.5
Modularity : 0.1875
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 2 Twitter users whose recent tweets contained "WMUMedicine", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 06 January 2020 at 18:59 UTC.
The tweets in the network were tweeted over the 3-day, 21-hour, 9-minute period from Monday, 30 December 2019 at 22:18 UTC to Friday, 03 January 2020 at 19:27 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : WMUMedicine
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:
[3] take,look [2] look,ongoing [2] ongoing,collaborations [2] collaborations,#wmed [2] #wmed,helping [2] helping,foster [2] foster,culture [2] culture,lifelong [2] lifelong,learning [2] learning,medical Top Word Pairs in Tweet in G1:
[3] take,look [2] look,ongoing [2] ongoing,collaborations [2] collaborations,#wmed [2] #wmed,helping [2] helping,foster [2] foster,culture [2] culture,lifelong [2] lifelong,learning [2] learning,medical Top Tweeters in Entire Graph:
Top Tweeters in G1: