The graph represents a network of 3,914 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, 29 February 2020 at 10:05 UTC.
The requested start date was Saturday, 29 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 15-hour, 49-minute period from Friday, 28 February 2020 at 09:08 UTC to Saturday, 29 February 2020 at 00:57 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 : 3914
Unique Edges : 5780
Edges With Duplicates : 3895
Total Edges : 9675
Number of Edge Types : 4
MentionsInRetweet : 3235
Tweet : 834
Replies to : 1916
Mentions : 3690
Self-Loops : 834
Reciprocated Vertex Pair Ratio : 0.0669945725915875
Reciprocated Edge Ratio : 0.125576219996821
Connected Components : 514
Single-Vertex Connected Components : 309
Maximum Vertices in a Connected Component : 2908
Maximum Edges in a Connected Component : 8597
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.712761
Graph Density : 0.000410760823590142
Modularity : 0.546498
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 3,914 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, 29 February 2020 at 10:05 UTC.
The requested start date was Saturday, 29 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 15-hour, 49-minute period from Friday, 28 February 2020 at 09:08 UTC to Saturday, 29 February 2020 at 00:57 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:
[332] 801,millions [313] millions,d'euros [209] sncf,gare [207] première,fois [206] viens,faire [206] faire,première [206] fois,quais [206] quais,sncf [206] gare,montparnasse [206] montparnasse,gt Top Word Pairs in Tweet in G1:
[186] sncf,#partenaire [58] pau,ligne [58] ligne,bus [58] bus,100 [58] 100,hydrogène [58] hydrogène,n'émet [58] n'émet,vapeur [58] vapeur,d'eau [58] d'eau,sncf [49] limportant_fr,pau Top Word Pairs in Tweet in G2:
[103] gare,lyon [95] paris,gdl [61] gare,paris [60] fortement,ralenti [54] trafic,fortement [50] prochain,train [49] aux,abords [49] votre,gare [34] votre,train [32] train,kumo Top Word Pairs in Tweet in G3:
[25] sncf,rouge [24] après,grève [22] rouge,2019 [20] 2019,après [16] grève,contre [16] contre,réforme [13] réforme,retraites [12] millions,d'euros [10] 801,millions [10] agents,sncf Top Word Pairs in Tweet in G4:
[81] ratp,sncf [79] régimes,spéciaux [75] sncf,opéra [75] opéra,paris [75] paris,décidez [75] décidez,toujours [75] toujours,d'harmoniser [75] d'harmoniser,vers [75] vers,bas [75] bas,jamais Top Word Pairs in Tweet in G5:
[31] sncf,juliejaunet [28] trainsexpo,sncf [28] groupesncf,benjaminhuteau [25] benjaminhuteau,marianneazoulay [18] conducteur_pse,auroreverneau [18] #transports,#sncf [16] juliejaunet,conducteur_pse [15] auroreverneau,groupesncf [15] ouisncf,sncf [15] sncf,ouisncf Top Word Pairs in Tweet in G6:
[205] viens,faire [205] faire,première [205] première,fois [205] fois,quais [205] quais,sncf [205] sncf,gare [205] gare,montparnasse [205] montparnasse,gt [205] gt,metro [205] metro,montparnasse Top Word Pairs in Tweet in G7:
[171] millions,d'euros [127] 801,millions [50] perdu,801 [49] pardon,mon [49] mon,langage [49] langage,grossier [49] grossier,mais [49] mais,801 [49] d'euros,ça [49] ça,fait Top Word Pairs in Tweet in G8:
[101] 801,millions [89] perte,nette [89] nette,801 [72] millions,d'euros [66] après,grève [62] d'euros,2019 [41] contre,réforme [39] rouge,après [39] réforme,retraites [39] 2019,contre Top Word Pairs in Tweet in G9:
[26] médecin,churouen [26] churouen,souffre [26] souffre,#coronavirus [26] #coronavirus,avait [26] avait,effectué [26] effectué,vacation [26] vacation,centre [26] centre,médical [26] médical,#sncf [22] 76actu,médecin Top Word Pairs in Tweet in G10:
[85] ley,helms [85] helms,burton [85] burton,empresas [85] empresas,francesas [85] francesas,cancelan [85] cancelan,varios [85] varios,contratos [85] contratos,cuba [85] cuba,bouygues [85] bouygues,batiment 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 G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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: