The graph represents a network of 8 Twitter users whose recent tweets contained "NetSci", 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 Wednesday, 21 July 2021 at 22:23 UTC.
The tweets in the network were tweeted over the 0-minute period from Thursday, 15 July 2021 at 15:38 UTC to Thursday, 15 July 2021 at 15:38 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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 : 8
Unique Edges : 8
Edges With Duplicates : 0
Total Edges : 8
Number of Edge Types : 4
Retweet : 3
MentionsInRetweet : 2
Tweet : 1
Mentions : 2
Self-Loops : 1
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 3
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 4
Maximum Edges in a Connected Component : 5
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 0.75
Graph Density : 0.125
Modularity : 0.496094
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 8 Twitter users whose recent tweets contained "NetSci", 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 Wednesday, 21 July 2021 at 22:23 UTC.
The tweets in the network were tweeted over the 0-minute period from Thursday, 15 July 2021 at 15:38 UTC to Thursday, 15 July 2021 at 15:38 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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 : NetSci
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 Word Pairs in Tweet in Entire Graph:
[3] special,issue [3] issue,nature [3] nature,computational [3] computational,social [3] social,science [3] science,impressive [3] impressive,list [3] list,contributions [3] contributions,related [3] related,upcoming Top Word Pairs in Tweet in G1:
[3] special,issue [3] issue,nature [3] nature,computational [3] computational,social [3] social,science [3] science,impressive [3] impressive,list [3] list,contributions [3] contributions,related [3] related,upcoming Top Word Pairs in Tweet in G2:
[2] science,success [2] success,innovation [2] innovation,workshop [2] workshop,waseda [2] waseda,university [2] university,online [2] online,free [2] free,registration [2] registration,august [2] august,2021 Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G3:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3: