The graph represents a network of 3,909 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 Tuesday, 03 March 2020 at 10:05 UTC.
The requested start date was Tuesday, 03 March 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 2-day, 3-hour, 5-minute period from Saturday, 29 February 2020 at 21:31 UTC to Tuesday, 03 March 2020 at 00:37 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 : 3909
Unique Edges : 6350
Edges With Duplicates : 6981
Total Edges : 13331
Number of Edge Types : 4
MentionsInRetweet : 3320
Mentions : 6811
Tweet : 781
Replies to : 2419
Self-Loops : 781
Reciprocated Vertex Pair Ratio : 0.0854663774403471
Reciprocated Edge Ratio : 0.157474020783373
Connected Components : 507
Single-Vertex Connected Components : 254
Maximum Vertices in a Connected Component : 2895
Maximum Edges in a Connected Component : 12324
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.004834
Graph Density : 0.000491347029255376
Modularity : 0.45054
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 3,909 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 Tuesday, 03 March 2020 at 10:05 UTC.
The requested start date was Tuesday, 03 March 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 2-day, 3-hour, 5-minute period from Saturday, 29 February 2020 at 21:31 UTC to Tuesday, 03 March 2020 at 00:37 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:
[230] 14,mars [219] sera,rue [219] #giletsjaunes,après [175] ratp,sncf [128] coordination,ratp [121] #ratp,#sncf [117] ce,gouvernement [116] sncf,sera [111] tous,paris [111] paris,14 Top Word Pairs in Tweet in G1:
[68] sncf,ouisncf [50] ouigosncf,sncf [48] sncf,groupesncf [47] aldelatte,ouigosncf [45] ouisncf,aldelatte [44] perlita13000,ouisncf [43] ouisncf,jpfarandou [36] groupesncf,connectgares [35] connectgares,incubpatrimoine [35] incubpatrimoine,jep Top Word Pairs in Tweet in G2:
[59] gare,lyon [51] lillipops48,josphine2_ [50] alainkrakovitch,scharles_sncf [48] josphine2_,thebest76053377 [45] vpecresse,elisabeth_borne [44] thebest76053377,keoliscif [43] alertesrerd,rerdcoupe [43] rerdcoupe,asso_sadur [43] asso_sadur,laurencebizet [43] laurencebizet,bipbip24 Top Word Pairs in Tweet in G3:
[24] bonne,journée [20] toutes,tous [19] lignej_sncf,bonjour [16] votre,service [15] ce,matin [15] rerc_sncf,rerd_sncf [14] votre,train [12] bonne,soirée [10] soirée,toutes [10] saint,lazare Top Word Pairs in Tweet in G4:
[10] #rerc,sncf [9] sncf,ratp [9] modernisation,extension [9] extension,réseau [9] réseau,ligne [9] 02,20 [8] droit,retrait [7] sncf,ils [6] mon,train [6] retards,sncf Top Word Pairs in Tweet in G5:
[221] 14,mars [144] sera,rue [144] #giletsjaunes,après [116] ratp,sncf [115] coordination,ratp [107] tous,paris [107] paris,14 [107] mars,coordination [107] sncf,sera [107] rue,14 Top Word Pairs in Tweet in G6:
[26] 03,20 [25] trafic,interrompu [24] incident,affectant [24] affectant,voie [21] 02,20 [20] fermez,yeux [20] yeux,réveillez [20] réveillez,berlin [20] berlin,#train_de_nuit [20] #train_de_nuit,l'autriche Top Word Pairs in Tweet in G7:
[15] trains,légers [15] légers,pourraient [15] petites,lignes [15] lignes,sncf [14] quels,trains [13] fromfantasia,suge_sncf [12] circuler,petites [10] pourraient,circuler [9] réforme,retraites [9] azizzemouri1,marcleplongeon Top Word Pairs in Tweet in G8:
[69] sera,rue [69] #giletsjaunes,après [68] #ratp,#sncf [68] ce,gouvernement [67] coordination,#ratp [67] #sncf,sera [67] rue,#14mars [67] #14mars,#giletsjaunes [67] après,#49al3 [67] #49al3,ce Top Word Pairs in Tweet in G9:
[22] rmcinfo,rmcstory [18] gg_rmc,anassekazib [16] anassekazib,joelle_dago [16] joelle_dago,rmcinfo [16] rmcstory,alainmarschall [15] alainmarschall,olivier_truchot [10] cette,racaille [10] ce,mec [9] événement,lui [9] lui,cette Top Word Pairs in Tweet in G10:
[65] voudrais,rajouter [65] rajouter,pessimisme [65] pessimisme,sanitaire [65] sanitaire,pousser [65] pousser,zizanie [65] zizanie,mais [65] mais,semble [65] semble,personnels [64] davidabiker,voudrais [7] quand,ferme Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: