The graph represents a network of 3,391 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 Saturday, 15 February 2020 at 10:05 UTC.
The requested start date was Saturday, 15 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 19-hour, 30-minute period from Friday, 14 February 2020 at 05:13 UTC to Saturday, 15 February 2020 at 00:44 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 : 3391
Unique Edges : 5105
Edges With Duplicates : 4385
Total Edges : 9490
Number of Edge Types : 4
MentionsInRetweet : 3280
Replies to : 2227
Mentions : 3186
Tweet : 797
Self-Loops : 797
Reciprocated Vertex Pair Ratio : 0.104360790160268
Reciprocated Edge Ratio : 0.188997637529531
Connected Components : 495
Single-Vertex Connected Components : 325
Maximum Vertices in a Connected Component : 2320
Maximum Edges in a Connected Component : 8365
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.026227
Graph Density : 0.000515506516033679
Modularity : 0.484377
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 3,391 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 Saturday, 15 February 2020 at 10:05 UTC.
The requested start date was Saturday, 15 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 19-hour, 30-minute period from Friday, 14 February 2020 at 05:13 UTC to Saturday, 15 February 2020 at 00:44 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:
[227] lille,flandres [226] 14,02 [225] gare,lille [224] 原色リバイバルtgvを確保,この度フランス国鉄sncfがtgv第一編成の引退に際して全面ロゴ入りのオレンジ塗装に部分的に復元 [224] この度フランス国鉄sncfがtgv第一編成の引退に際して全面ロゴ入りのオレンジ塗装に部分的に復元,鉄道図鑑でしか見たことがなかったこの姿が拝めて感動でした [224] 鉄道図鑑でしか見たことがなかったこの姿が拝めて感動でした,gare [224] flandres,14 [223] chichibugou,原色リバイバルtgvを確保 [140] sncf,#partenaire [122] abonnement,#idtgvmax2 Top Word Pairs in Tweet in G1:
[138] sncf,#partenaire [86] limportant_fr,france [82] france,l'origine [82] l'origine,premier [82] premier,train [82] train,commercial [82] commercial,hydrogène [82] hydrogène,monde [71] monde,sncf [55] tire,sa Top Word Pairs in Tweet in G2:
[61] ce,train [46] rerd_sncf,rere_sncf [37] ligner_sncf,bonjour [36] idfmobilites,rerd_sncf [35] votre,train [34] 1ère,rame [34] rame,d'essai [34] d'essai,#rerng [34] #rerng,sortie [34] sortie,d'usine Top Word Pairs in Tweet in G3:
[48] únete,reto [48] reto,alta [48] alta,velocidad [48] podrás,ganar [48] ganar,billetes [48] billetes,tren [47] velocidad,renfe [47] renfe,sncf [47] sncf,podrás [47] tren,francia Top Word Pairs in Tweet in G4:
[122] abonnement,#idtgvmax2 [109] #idtgvmax2,#tgvmax [104] mon,abonnement [86] sncf,jpfarandou [77] sncf,ouisncf [73] saint,valentin [73] jpfarandou,alainkrakovitch [69] alainkrakovitch,jeromelaffon [59] valentin,mon [57] mon,abo Top Word Pairs in Tweet in G5:
[224] 原色リバイバルtgvを確保,この度フランス国鉄sncfがtgv第一編成の引退に際して全面ロゴ入りのオレンジ塗装に部分的に復元 [224] この度フランス国鉄sncfがtgv第一編成の引退に際して全面ロゴ入りのオレンジ塗装に部分的に復元,鉄道図鑑でしか見たことがなかったこの姿が拝めて感動でした [224] 鉄道図鑑でしか見たことがなかったこの姿が拝めて感動でした,gare [224] gare,lille [224] lille,flandres [224] flandres,14 [224] 14,02 [223] chichibugou,原色リバイバルtgvを確保 Top Word Pairs in Tweet in G6:
[28] reste,dispo [28] rerc_sncf,bonjour [21] urgent,#rerc [21] #rerc,rerc_sncf [21] rerc_sncf,viens [21] viens,perdre [21] perdre,ma [21] ma,pochette [21] pochette,tous [21] tous,mes Top Word Pairs in Tweet in G7:
[20] paris,montparnasse [19] montparnasse,rambouillet [15] personne,été [15] été,heurtée [15] heurtée,par [15] par,train [14] reste,votre [13] bonjour,trafic [13] saint,quentin [13] quentin,yvelines Top Word Pairs in Tweet in G8:
[35] comptable,sncf [33] comptable,privé [32] qu'un,comptable [31] reste,dispo [31] 57,ans [30] sncf,peut [30] peut,partir [30] privé,part [30] part,62 [30] 62,ans Top Word Pairs in Tweet in G9:
[18] bonne,soirée [14] #infotrafic,#rere [10] soirée,bon [10] #infotrafic,#lignep [9] suite,panne [8] rere_t4_sncf,bonjour [7] pe,gt [7] affectant,voie [7] #rere,suite [7] haussmann,gt Top Word Pairs in Tweet in G10:
[22] ligneh_sncf,bonjour [12] reste,dispo [8] gare,nord [8] ermont,eaubonne [6] bonjour,trafic [6] epinay,villetaneuse [6] aucun,train [6] paris,nord [6] saint,valentin [6] ligneh_sncf,sncf 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: