The graph represents a network of 13 Twitter users whose tweets in the requested range contained "#SocMedHE", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 August 2020 at 06:21 UTC.
The requested start date was Friday, 14 August 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 53-day, 0-hour, 32-minute period from Friday, 19 June 2020 at 08:18 UTC to Tuesday, 11 August 2020 at 08:51 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 : 13
Unique Edges : 12
Edges With Duplicates : 0
Total Edges : 12
Number of Edge Types : 2
Replies to : 3
Mentions : 9
Self-Loops : 0
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 11
Maximum Edges in a Connected Component : 11
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.208
Graph Density : 0.0769230769230769
Modularity : 0.475694
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 13 Twitter users whose tweets in the requested range contained "#SocMedHE", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 August 2020 at 06:21 UTC.
The requested start date was Friday, 14 August 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 53-day, 0-hour, 32-minute period from Friday, 19 June 2020 at 08:18 UTC to Tuesday, 11 August 2020 at 08:51 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 : GraphServerTwitterSearch
Graph Term : #SocMedHE
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 : Betweenness Centrality
Top Domains
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 Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3: