The graph represents a network of 3,913 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 Thursday, 27 February 2020 at 08:36 UTC.
The requested start date was Thursday, 27 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, 0-hour, 50-minute period from Wednesday, 26 February 2020 at 00:10 UTC to Thursday, 27 February 2020 at 01:01 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 : 3913
Unique Edges : 6158
Edges With Duplicates : 5000
Total Edges : 11158
Number of Edge Types : 4
Tweet : 690
MentionsInRetweet : 3495
Replies to : 2035
Mentions : 4938
Self-Loops : 690
Reciprocated Vertex Pair Ratio : 0.0629213483146067
Reciprocated Edge Ratio : 0.118393234672304
Connected Components : 437
Single-Vertex Connected Components : 226
Maximum Vertices in a Connected Component : 2999
Maximum Edges in a Connected Component : 10229
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.182646
Graph Density : 0.000463493561653071
Modularity : 0.504515
NodeXL Version : 1.0.1.425
Data Import : The graph represents a network of 3,913 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 Thursday, 27 February 2020 at 08:36 UTC.
The requested start date was Thursday, 27 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, 0-hour, 50-minute period from Wednesday, 26 February 2020 at 00:10 UTC to Thursday, 27 February 2020 at 01:01 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:
[462] vont,être [459] patron,sncf [459] guillaume,pepy [459] être,nommés [458] nicolas,sarkozy [457] sncf,guillaume [455] sarkozy,l'ex [455] l'ex,patron [453] président,république [453] pepy,vont Top Word Pairs in Tweet in G1:
[394] petit,fait [394] fait,sympa [394] sympa,sncf [394] sncf,partager [394] partager,victime [394] victime,d'un [394] d'un,avc [394] avc,25 [394] 25,ans [394] ans,l'accorde Top Word Pairs in Tweet in G2:
[76] votre,train [52] plusdetrains,asso_usagersidf [50] courb_rerb,acircule [50] acircule,asso_sadur [50] rer_a,rerb [48] ce,train [48] teamligner,ligner_sncf [45] rerc_sncf,rerd_sncf [44] rerb,rerc_sncf [41] ligner_sncf,ter_bfc_trafic Top Word Pairs in Tweet in G3:
[431] patron,sncf [431] sncf,guillaume [431] guillaume,pepy [429] l'ancien,président [429] président,république [429] république,nicolas [429] nicolas,sarkozy [429] sarkozy,l'ex [429] l'ex,patron [429] pepy,vont Top Word Pairs in Tweet in G4:
[12] únete,reto [12] reto,alta [12] alta,velocidad [12] velocidad,renfe [12] renfe,sncf [12] sncf,podrás [12] podrás,ganar [12] ganar,billetes [12] billetes,tren [12] tren,francia Top Word Pairs in Tweet in G5:
[52] vendre,actifs [52] actifs,payer [32] ter_occitanie,sncf [26] sncf,vu [26] vu,par [26] par,gouvernement [26] gouvernement,vendre [26] payer,grève [26] grève,vendre [26] payer,petites Top Word Pairs in Tweet in G6:
[24] groupesncf,sncf [19] sncf,juliejaunet [19] juliejaunet,stephrism [19] stephrism,conducteur_pse [19] conducteur_pse,vlepoittevin [19] vlepoittevin,auroreverneau [18] trainsexpo,sncf [17] auroreverneau,groupesncf [14] rtlfrance,groupesncf [13] sncf,groupesncf Top Word Pairs in Tweet in G7:
[55] sncf,ouisncf [54] ouisncf,sncf [43] ouisncf,evoyageurssncf [34] ces,scènes [33] sommes,nombreux [33] nombreux,espérer [33] espérer,sncf [33] evoyageurssncf,aura [33] aura,explications [33] explications,fournir Top Word Pairs in Tweet in G8:
[48] services,publics [47] détérioration,services [47] publics,suit [47] suit,partout [47] partout,même [47] même,protocole [47] protocole,poste [47] poste,sncf [47] sncf,ratp [47] ratp,hôpitaux Top Word Pairs in Tweet in G9:
[9] #infotrafic,#rere [9] bonne,soirée [7] aux,annonces [7] ce,soir [7] rere_t4_sncf,bonjour [6] artymassi,rere_t4_sncf [6] rere_t4_sncf,okeanos89838922 [5] rosa,parks [5] lt,gt [5] ça,fait Top Word Pairs in Tweet in G10:
[32] sncf,train [26] composition,réduite [26] réduite,train [26] raison,d'un [26] d'un,défaut [26] défaut,matériel [26] matériel,sncf [13] #cflinfos90,composition [13] #cflinfos60,composition [10] #infotrafic,#lignep Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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 G3:
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: