The graph represents a network of 3,565 Twitter users whose recent tweets contained "Safe Routes", 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 Thursday, 12 May 2022 at 00:29 UTC.
The tweets in the network were tweeted over the 10-day, 10-hour, 3-minute period from Sunday, 01 May 2022 at 13:58 UTC to Thursday, 12 May 2022 at 00:02 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 : 3565
Unique Edges : 4554
Edges With Duplicates : 745
Total Edges : 5299
Number of Edge Types : 5
Tweet : 441
Mentions : 1767
Retweet : 1500
Replies to : 731
MentionsInRetweet : 860
Self-Loops : 448
Reciprocated Vertex Pair Ratio : 0.0163228292904103
Reciprocated Edge Ratio : 0.0321213473120678
Connected Components : 621
Single-Vertex Connected Components : 171
Maximum Vertices in a Connected Component : 1393
Maximum Edges in a Connected Component : 2605
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 9.090577
Graph Density : 0.000352834878314074
Modularity : 0.831413
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,565 Twitter users whose recent tweets contained "Safe Routes", 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 Thursday, 12 May 2022 at 00:29 UTC.
The tweets in the network were tweeted over the 10-day, 10-hour, 3-minute period from Sunday, 01 May 2022 at 13:58 UTC to Thursday, 12 May 2022 at 00:02 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 : Safe Routes
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:
[1165] safe,routes [342] safe,legal [339] legal,routes [231] routes,school [153] cycle,routes [146] asylum,seekers [143] routes,safe [99] support,safe [98] priti,patel [92] borisjohnson,pritipatel Top Word Pairs in Tweet in G1:
[220] safe,routes [92] borisjohnson,pritipatel [92] pritipatel,uk [92] uk,response [92] response,suffering [92] suffering,ukraine [92] ukraine,shocking [92] shocking,countries [92] countries,opening [92] opening,doors Top Word Pairs in Tweet in G2:
[69] safe,routes [35] routes,school [13] safe,legal [13] legal,routes [12] school,day [10] cycling,routes [9] routes,safe [7] bike,school [7] safe,cycling [7] awarded,safe Top Word Pairs in Tweet in G3:
[86] safe,legal [86] legal,routes [54] 'safe,legal [54] legal,routes' [53] resettlement,programme [52] colleague,beltrew [52] beltrew,revealed [52] revealed,vnerable [52] vnerable,refugees [52] refugees,including Top Word Pairs in Tweet in G4:
[38] safe,routes [28] cycle,routes [25] people,cycle [20] theroyalparks,freedom [20] freedom,information [20] information,request [20] request,remind [20] remind,obliged [20] obliged,accept [20] accept,fois Top Word Pairs in Tweet in G5:
[84] cycle,routes [60] safe,cycle [40] bike,lanes [33] many,places [33] lack,high [33] high,quality [33] quality,infrastructure [24] local,leaders [24] lanes,cut [24] cut,congestion Top Word Pairs in Tweet in G6:
[77] moscow,missile [77] missile,attacks [77] attacks,shelling [77] shelling,cities [77] cities,along [77] along,humanitarian [77] humanitarian,corridors [77] corridors,stop [77] stop,claims [77] claims,safe Top Word Pairs in Tweet in G7:
[32] safe,routes [8] legal,routes [7] safe,legal [6] gnev2,safe [6] lbc,shelaghfogarty [5] prodaniellevy1,dan_1884 [5] dan_1884,gnev2 [5] load,nonsense [5] nonsense,ministers [5] ministers,saying Top Word Pairs in Tweet in G8:
[8] safe,routes [5] ciolfilicious1,the_leaver [5] the_leaver,r_ramming [5] r_ramming,andrewknight226 [5] chrisev06631592,1aintro11sbots [5] obohobofromnobo,of_flocks [5] wobski421,just2sayin [5] just2sayin,eliashoshea [5] eliashoshea,stilllearning90 [5] stilllearning90,wanderer_bolton Top Word Pairs in Tweet in G9:
[74] safe,routes [65] routes,school [28] next,steps [28] transportation,alternatives [28] safety,climate [17] webinar,guidance [17] guidance,next [17] steps,transportation [17] alternatives,safe [17] school,safety Top Word Pairs in Tweet in G10:
[5] amotorcyclist,telesyros [5] susanelizh25,prj45 [5] prj45,ranchesam [5] ranchesam,ediz1975 [5] ediz1975,thefox89688362 [5] thefox89688362,sophiejdalston [5] sophiejdalston,tfltruth [5] tfltruth,fo11owthe1ight [5] fo11owthe1ight,one_greenwich [5] one_greenwich,jamesjimmyb Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
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:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: