The graph represents a network of 63 Twitter users whose recent tweets contained "https://twitter.com/gmacscotland/status/1218594832874188800 OR "Inflexible 🚲policy needs to change" OR https://road.cc/content/news/270403-doctor-thrown-train-because-he-hadnt-reserved-space-bike-even-though-there-were", 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, 21 January 2020 at 11:37 UTC.
The tweets in the network were tweeted over the 2-day, 3-hour, 51-minute period from Saturday, 18 January 2020 at 18:30 UTC to Monday, 20 January 2020 at 22:22 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 : 63
Unique Edges : 106
Edges With Duplicates : 10
Total Edges : 116
Self-Loops : 8
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 8
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 46
Maximum Edges in a Connected Component : 100
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.120164
Graph Density : 0.0266257040450589
Modularity : 0.393821
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 63 Twitter users whose recent tweets contained "https://twitter.com/gmacscotland/status/1218594832874188800 OR "Inflexible 🚲policy needs to change" OR https://road.cc/content/news/270403-doctor-thrown-train-because-he-hadnt-reserved-space-bike-even-though-there-were", 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, 21 January 2020 at 11:37 UTC.
The tweets in the network were tweeted over the 2-day, 3-hour, 51-minute period from Saturday, 18 January 2020 at 18:30 UTC to Monday, 20 January 2020 at 22:22 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 : https://twitter.com/gmacscotland/status/1218594832874188800 OR "Inflexible 🚲policy needs to change" OR https://road.cc/content/news/270403-doctor-thrown-train-because-he-hadnt-reserved-space-bike-even-though-there-were
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[52] doctor,thrown [52] thrown,train [52] train,hadn't [52] hadn't,reserved [52] reserved,space [52] space,bike [52] bike,even [52] even,though [52] though,four [40] four,available Top Word Pairs in Tweet in G1:
[18] doctor,thrown [18] thrown,train [18] train,hadn't [18] hadn't,reserved [18] reserved,space [18] space,bike [18] bike,even [18] even,though [18] though,four [16] four,available Top Word Pairs in Tweet in G2:
[22] doctor,thrown [22] thrown,train [22] train,hadn't [22] hadn't,reserved [22] reserved,space [22] space,bike [22] bike,even [22] even,though [22] though,four [21] available,#cycling Top Word Pairs in Tweet in G3:
[8] doctor,thrown [8] thrown,train [8] train,hadn't [8] hadn't,reserved [8] reserved,space [8] space,bike [8] bike,even [8] even,though [8] though,four [8] four,available Top Word Pairs in Tweet in G5:
[3] doctor,thrown [3] thrown,train [3] train,hadn't [3] hadn't,reserved [3] reserved,space [3] space,bike [3] bike,even [3] even,though [3] though,four [3] four,available Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G6:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6: