The graph represents a network of 15 Twitter users whose recent tweets contained "#voicesforrepair", 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 September 2022 at 04:25 UTC.
The tweets in the network were tweeted over the 8-day, 11-hour, 20-minute period from Monday, 12 September 2022 at 12:53 UTC to Wednesday, 21 September 2022 at 00:13 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 : 16
Unique Edges : 17
Edges With Duplicates : 6
Total Edges : 23
Number of Edge Types : 4
Mentions : 10
Replies to : 3
Tweet : 7
Retweet : 3
Self-Loops : 7
Reciprocated Vertex Pair Ratio : 0.0666666666666667
Reciprocated Edge Ratio : 0.125
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 16
Maximum Edges in a Connected Component : 23
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.757813
Graph Density : 0.0666666666666667
Modularity : 0.21172
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 15 Twitter users whose recent tweets contained "#voicesforrepair", 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 September 2022 at 04:25 UTC.
The tweets in the network were tweeted over the 8-day, 11-hour, 20-minute period from Monday, 12 September 2022 at 12:53 UTC to Wednesday, 21 September 2022 at 00:13 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 : #voicesforrepair
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:
[4] #righttorepair,#voicesforrepair [3] #voicesforrepair,#righttorepair [3] mia,wishes [3] community,repair [3] #righttorepair,#apple [3] #apple,#voicesforrepair [3] #voicesforrepair,#iphone14 [2] repair,café [2] right,repair [2] repair,movement Top Word Pairs in Tweet in G1:
[4] #righttorepair,#voicesforrepair [3] community,repair [3] #righttorepair,#apple [3] #apple,#voicesforrepair [3] #voicesforrepair,#iphone14 [3] mia,wishes [3] #voicesforrepair,#righttorepair [2] mend,australia [2] australia,agrees [2] agrees,guido 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: