The graph represents a network of 12 Twitter users whose recent tweets contained "#WomenInTech22", 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 Tuesday, 13 December 2022 at 09:04 UTC.
The tweets in the network were tweeted over the 7-day, 7-hour, 31-minute period from Monday, 05 December 2022 at 14:30 UTC to Monday, 12 December 2022 at 22:01 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 : 12
Unique Edges : 10
Edges With Duplicates : 14
Total Edges : 24
Number of Edge Types : 3
Mentions : 8
Tweet : 14
Retweet : 2
Self-Loops : 14
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 3
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 10
Maximum Edges in a Connected Component : 22
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.588235
Graph Density : 0.0681818181818182
Modularity : 0.27908
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 12 Twitter users whose recent tweets contained "#WomenInTech22", 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 Tuesday, 13 December 2022 at 09:04 UTC.
The tweets in the network were tweeted over the 7-day, 7-hour, 31-minute period from Monday, 05 December 2022 at 14:30 UTC to Monday, 12 December 2022 at 22:01 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 : #WomenInTech22
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:
[9] evento,#womenintech22 [9] 15,diciembre [8] apúntate,gratis [7] mujeres,referentes [5] referentes,#stem [5] reserva,entrada [5] metaverso,streaming [4] últimas,tendencias [4] entrada,gratis [4] sector,tech Top Word Pairs in Tweet in G1:
[9] evento,#womenintech22 [8] apúntate,gratis [8] 15,diciembre [6] mujeres,referentes [5] reserva,entrada [5] metaverso,streaming [4] últimas,tendencias [4] referentes,#stem [4] entrada,gratis [4] sector,tech Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2: