The graph represents a network of 4,504 Twitter users whose tweets in the requested range contained "SNCF", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 10 February 2020 at 08:34 UTC.
The requested start date was Monday, 10 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 15-hour, 3-minute period from Saturday, 08 February 2020 at 09:56 UTC to Monday, 10 February 2020 at 01:00 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 : 4504
Unique Edges : 6275
Edges With Duplicates : 2491
Total Edges : 8766
Number of Edge Types : 4
MentionsInRetweet : 3095
Tweet : 969
Replies to : 1793
Mentions : 2909
Self-Loops : 969
Reciprocated Vertex Pair Ratio : 0.0532874241678964
Reciprocated Edge Ratio : 0.101183063511831
Connected Components : 679
Single-Vertex Connected Components : 394
Maximum Vertices in a Connected Component : 3205
Maximum Edges in a Connected Component : 7436
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.677909
Graph Density : 0.000316741670936565
Modularity : 0.612279
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 4,504 Twitter users whose tweets in the requested range contained "SNCF", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 10 February 2020 at 08:34 UTC.
The requested start date was Monday, 10 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 15-hour, 3-minute period from Saturday, 08 February 2020 at 09:56 UTC to Monday, 10 February 2020 at 01:00 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 : GraphServerTwitterSearch
Graph Term : SNCF
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:
[235] sotteville,lès [235] lès,rouen [235] plus,300 [234] rouen,cœur [233] cœur,cimetière [233] cimetière,locomotives [226] locomotives,#sncf [226] #sncf,plus [226] 300,locomotives [226] locomotives,fret Top Word Pairs in Tweet in G1:
[35] sncf,bonjour [20] train_nomad_,bombardier [18] ce,train [18] demain,matin [17] trafic,demain [17] hyperloop,toulouse [17] toulouse,paris [17] paris,40 [17] 40,minutes [17] minutes,premiers Top Word Pairs in Tweet in G2:
[205] sotteville,lès [205] lès,rouen [205] rouen,cœur [205] cœur,cimetière [205] cimetière,locomotives [205] locomotives,#sncf [205] #sncf,plus [205] plus,300 [205] 300,locomotives [205] locomotives,fret Top Word Pairs in Tweet in G3:
[14] week,end [12] jouez,ma [12] ma,location [12] location,avis [12] avis,tentez [12] tentez,gagner [12] gagner,nombreux [12] nombreux,lots [12] lots,dont [12] dont,week Top Word Pairs in Tweet in G4:
[34] premier,tgv [30] sa,tournée [26] tournée,d'adieu [25] repeinte,orange [25] orange,sa [24] #aurevoirpatrick,rame [24] rame,#tgv [24] #tgv,#pse01 [24] #pse01,repeinte [24] d'adieu,marche Top Word Pairs in Tweet in G5:
[24] conditions,climatiques [24] climatiques,dégradées [19] modernisation,extension [19] extension,réseau [19] réseau,ligne [17] samedi,08 [17] 08,02 [17] 02,2020 [16] dégradées,ligne [16] amv_ac,bb01brigitte Top Word Pairs in Tweet in G6:
[69] groupesncf,sncf [43] ibrahaahaa,groupesncf [43] sncf,coup [43] coup,normal [43] normal,ce [43] ce,genre [43] genre,interpellation [43] interpellation,offert [43] offert,par [43] par,maison Top Word Pairs in Tweet in G7:
[63] très,fortement [62] lundi,10 [55] fortement,perturbé [54] trafic,sera [54] perturbé,lundi [51] terhdf,trafic [48] sncf,voyage [42] agents,sncf [41] sera,encore [41] encore,très Top Word Pairs in Tweet in G8:
[39] votre,service [25] reste,votre [24] service,besoin [17] bonne,journée [14] besoin,bonne [14] bonne,soirée [11] site,rubrique [10] invite,rendre [10] rendre,site [10] rubrique,itinéraires Top Word Pairs in Tweet in G9:
[116] #djebbari,pilote [116] pilote,ligne [116] ligne,qu [116] qu,nommé [116] nommé,crasher [116] crasher,sncf [116] sncf,était [116] était,#limoges [116] #limoges,faire [115] aiphanmarcel,#djebbari Top Word Pairs in Tweet in G10:
[58] agaçant,entendre [58] entendre,aux [58] aux,infos [58] infos,certains [58] certains,grévistes [58] grévistes,#sncf [58] #sncf,ont [58] ont,eu [58] eu,paye [58] paye,égale Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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 G2:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
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: