The graph represents a network of 4,394 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, 31 December 2019 at 10:05 UTC.
The requested start date was Tuesday, 31 December 2019 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, 19-hour, 9-minute period from Sunday, 29 December 2019 at 05:51 UTC to Tuesday, 31 December 2019 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 : 4394
Unique Edges : 6391
Edges With Duplicates : 2462
Total Edges : 8853
Number of Edge Types : 4
MentionsInRetweet : 4079
Mentions : 2779
Replies to : 1279
Tweet : 716
Self-Loops : 716
Reciprocated Vertex Pair Ratio : 0.0285492629945694
Reciprocated Edge Ratio : 0.0555136521345603
Connected Components : 398
Single-Vertex Connected Components : 201
Maximum Vertices in a Connected Component : 3534
Maximum Edges in a Connected Component : 8001
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.657532
Graph Density : 0.000343420932523822
Modularity : 0.612122
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 4,394 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, 31 December 2019 at 10:05 UTC.
The requested start date was Tuesday, 31 December 2019 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, 19-hour, 9-minute period from Sunday, 29 December 2019 at 05:51 UTC to Tuesday, 31 December 2019 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:
[472] #ratp,#sncf [329] eu,870 [329] 870,000 [329] 000,départs [328] dernier,eu [328] départs,#retraite [328] #retraite,dont [328] dont,9000 [327] 9000,#ratp [327] #sncf,#gouvernement Top Word Pairs in Tweet in G1:
[100] teufeursoff,sncf [98] jmaphatie,sncf [52] bon,sncf [52] sncf,ma [52] ma,trouver [52] trouver,train [52] train,cool [51] teufeursoff,bon [31] sncf,policenationale [31] sncf,bonjour Top Word Pairs in Tweet in G2:
[45] #sncf,#ratp [45] sncf,ratp [39] sncf,c'est [36] #greve29decembre,quand [36] quand,gendarme [36] gendarme,demande [36] demande,qu'on [36] qu'on,pète [36] pète,genoux [36] genoux,conducteurs Top Word Pairs in Tweet in G3:
[157] #reformedesretraites,#macron [109] tropical_boy,#retraites [102] #macron,#giletsjaunes [99] #retraites,#reformeretraites [96] #cgt,#edouardphilippe [96] #edouardphilippe,#sncf [91] #reformeretraites,#reformedesretraites [86] #sncf,#r [78] tropical_boy,#grevegenerale [71] ratp,sncf Top Word Pairs in Tweet in G4:
[294] eu,870 [294] 870,000 [294] 000,départs [293] dernier,eu [293] départs,#retraite [293] #retraite,dont [293] dont,9000 [293] 9000,#ratp [293] #ratp,#sncf [293] #sncf,#gouvernement Top Word Pairs in Tweet in G5:
[45] votre,train [19] ratp,sncf [19] gare,lyon [19] celui,ci [15] 30,décembre [15] le_rerd,rerdenfer [15] ligner_sncf,bonjour [14] retard,d'environ [14] nialiex,rerdcoupe [14] rerdcoupe,alertesrerd Top Word Pairs in Tweet in G6:
[62] dépôt,bus [59] #paris,dépôt [59] bus,#ratp [59] #ratp,bloqué [59] bloqué,cette [59] cette,nuit [59] nuit,par [59] par,cinquantaine [59] cinquantaine,grévistes [59] grévistes,aucun Top Word Pairs in Tweet in G7:
[18] ratp,sncf [15] ce,lundi [13] sncf,ratp [11] grève,sncf [11] prévisions,trafic [10] #sncf,#ratp [10] réforme,retraites [10] 30,décembre [9] #grève,#sncf [8] trafic,sncf Top Word Pairs in Tweet in G8:
[43] mets,mon [43] mon,fils [43] fils,mineur [43] mineur,tgv [43] tgv,#sncf [43] #sncf,qu'il [43] qu'il,rentre [43] rentre,chez [43] chez,sa [43] sa,maman Top Word Pairs in Tweet in G9:
[39] vu,centime [39] centime,sncf [39] sncf,milliards [39] milliards,benefice [39] benefice,5ans [39] 5ans,combien [39] combien,entreprises [39] entreprises,privé [39] privé,150000 [39] 150000,salariés Top Word Pairs in Tweet in G10:
[42] gaetanescorbiac,question [40] 31,décembre [39] votre,avis [39] avis,détail [39] détail,commentaire [39] commentaire,merci [38] question,macron [38] macron,peut [38] peut,apaiser [38] apaiser,esprits 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 G4:
Top Replied-To in G5:
Top Replied-To in G6:
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 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: