The graph represents a network of 4,152 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 Sunday, 01 March 2020 at 09:52 UTC.
The requested start date was Sunday, 01 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 1-day, 5-hour, 22-minute period from Friday, 28 February 2020 at 19:28 UTC to Sunday, 01 March 2020 at 00:50 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 : 4152
Unique Edges : 6762
Edges With Duplicates : 5143
Total Edges : 11905
Number of Edge Types : 4
MentionsInRetweet : 3737
Mentions : 5456
Replies to : 1919
Tweet : 793
Self-Loops : 793
Reciprocated Vertex Pair Ratio : 0.0585981838819523
Reciprocated Edge Ratio : 0.110709020238574
Connected Components : 496
Single-Vertex Connected Components : 280
Maximum Vertices in a Connected Component : 3092
Maximum Edges in a Connected Component : 10843
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.751136
Graph Density : 0.000432899377961714
Modularity : 0.518396
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 4,152 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 Sunday, 01 March 2020 at 09:52 UTC.
The requested start date was Sunday, 01 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 1-day, 5-hour, 22-minute period from Friday, 28 February 2020 at 19:28 UTC to Sunday, 01 March 2020 at 00:50 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:
[208] millions,d'euros [201] régimes,spéciaux [200] 801,millions [188] ratp,sncf [159] opéra,paris [156] sncf,opéra [154] réforme,retraites [149] ce,sont [142] gare,lyon [142] paris,décidez Top Word Pairs in Tweet in G1:
[94] sncf,#partenaire [64] gare,lyon [50] trainsexpo,sncf [32] sncf,groupesncf [31] lyon,voie [29] aujourd,hui [27] sncf,sncf [26] plein,yeux [25] europe,cinq [25] cinq,voyages Top Word Pairs in Tweet in G2:
[137] régimes,spéciaux [134] ratp,sncf [134] sncf,opéra [134] opéra,paris [134] paris,décidez [134] décidez,toujours [134] toujours,d'harmoniser [134] d'harmoniser,vers [134] vers,bas [134] bas,jamais Top Word Pairs in Tweet in G3:
[70] agentpaix,suge_sncf [50] alainkrakovitch,scharles_sncf [44] josphine2_,thebest76053377 [44] thebest76053377,keoliscif [42] rerdenfer,chtilout [42] chtilout,tomektr [42] tomektr,alertesrerd [42] alertesrerd,rerdcoupe [42] rerdcoupe,asso_sadur [42] asso_sadur,laurencebizet Top Word Pairs in Tweet in G4:
[9] millions,d'euros [8] agents,sncf [8] sncf,ratp [8] derrière,pertes [7] 801,millions [7] après,grève [7] ça,fait [6] sncf,ça [6] sncf,rouge [6] réforme,retraites Top Word Pairs in Tweet in G5:
[171] millions,d'euros [150] 801,millions [63] sncf,perdu [63] perdu,801 [63] sudrailcentraux,cgtcheminots [63] cgtcheminots,martinez_cgt [63] martinez_cgt,jlmelenchon [63] jlmelenchon,franceinsoumise [63] franceinsoumise,pcf [62] pardon,mon Top Word Pairs in Tweet in G6:
[40] votre,gare [37] paris,gdl [35] prochain,train [32] waw,ai [32] ai,oublié [32] oublié,mon [32] mon,sac [32] sac,rerc_sncf [32] rerc_sncf,ai [32] ai,envie Top Word Pairs in Tweet in G7:
[38] réforme,retraites [29] 614,millions [28] pdg,sncf [28] sncf,annonce [28] annonce,614 [28] millions,euros [28] euros,pertes [28] pertes,cause [28] cause,grève [28] contre,réforme Top Word Pairs in Tweet in G8:
[106] ley,helms [106] helms,burton [106] burton,empresas [106] empresas,francesas [106] francesas,cancelan [106] cancelan,varios [106] varios,contratos [106] contratos,cuba [106] cuba,bouygues [106] bouygues,batiment Top Word Pairs in Tweet in G9:
[91] espère,compagnies [91] compagnies,assurances [91] assurances,retourneront [91] retourneront,contre [91] contre,vandales [91] vandales,ayant [91] ayant,brûlés [91] brûlés,propriétés [91] propriétés,privées [90] gaveemmanuelle,espère Top Word Pairs in Tweet in G10:
[9] herve_morin,vinc_brt [6] décembre,2019 [6] tempo,normandie [5] remboursement,grève [5] grève,décembre [5] 2019,rappel [5] rappel,abonnés [5] abonnés,tempo [5] normandie,formule [5] formule,mensuelle 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 G10:
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: