The graph represents a network of 13,285 Twitter users whose recent tweets contained "SNCF", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 01 December 2019 at 17:27 UTC.
The tweets in the network were tweeted over the 2-day, 0-hour, 21-minute period from Friday, 29 November 2019 at 15:57 UTC to Sunday, 01 December 2019 at 16:19 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 : 13285
Unique Edges : 21637
Edges With Duplicates : 11524
Total Edges : 33161
Self-Loops : 2032
Reciprocated Vertex Pair Ratio : 0.0418352376294847
Reciprocated Edge Ratio : 0.0803106597251856
Connected Components : 1138
Single-Vertex Connected Components : 727
Maximum Vertices in a Connected Component : 11399
Maximum Edges in a Connected Component : 31095
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.577246
Graph Density : 0.000132787134754633
Modularity : 0.576585
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 13,285 Twitter users whose recent tweets contained "SNCF", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 01 December 2019 at 17:27 UTC.
The tweets in the network were tweeted over the 2-day, 0-hour, 21-minute period from Friday, 29 November 2019 at 15:57 UTC to Sunday, 01 December 2019 at 16:19 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 : TwitterSearch
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[4495] j,ai [4355] je,vais [3223] 5,décembre [2225] grève,sncf [2200] et,je [2196] comme,ça [2187] à,grève [2178] dans,rue [2170] sncf,dans [2159] avant,5 Top Word Pairs in Tweet in G1:
[4252] j,ai [4252] je,vais [2129] 5,décembre [2126] ai,70 [2126] 70,000 [2126] 000,retweet [2126] retweet,avant [2126] avant,5 [2126] décembre,j [2126] j,achète Top Word Pairs in Tweet in G2:
[504] à,sncf [469] 5,décembre [410] grève,#5decembre [410] est,pas [407] n,est [403] sncf,cfdt [403] disposée,à [403] à,lever [403] lever,préavis [403] préavis,pour Top Word Pairs in Tweet in G3:
[220] sncf,#partenaire [168] c,est [144] dans,les [92] je,vous [86] les,transports [85] 31,17 [83] des,solutions [83] j,ai [79] 5,décembre [79] sncf,groupesncf Top Word Pairs in Tweet in G4:
[197] c,est [128] les,trains [124] je,vous [119] gare,lyon [112] dans,les [107] votre,train [97] pour,les [95] des,trains [91] ce,matin [85] sur,les Top Word Pairs in Tweet in G5:
[312] millions,d'euros [306] par,jour [305] grève,à [304] perdus,par [304] jour,grève [259] sncf,et [249] régimes,spéciaux [234] comme,pour [233] sur,#greve5decembre [231] depuis,des Top Word Pairs in Tweet in G6:
[1153] c,est [1151] est,pas [1146] parce,qu [1146] qu,il [1145] sncf,qui [1145] ça,l [1145] start,up [1145] up,nation [1144] qui,supprime [1144] supprime,mon Top Word Pairs in Tweet in G7:
[55] 5,décembre [53] c,est [42] alta,velocidad [41] gustaría,vivir [41] vivir,experiencia [41] experiencia,gran [41] gran,viaje [41] viaje,parís [41] parís,2 [41] 2,sube Top Word Pairs in Tweet in G8:
[99] trafic,sncf [86] sncf,est [80] est,interrompu [79] nouvel,ordre [78] jusqu'à,nouvel [78] vigilance,rouge [78] rouge,pluies [78] pluies,inondations [74] à,partir [74] inondations,trafic Top Word Pairs in Tweet in G9:
[132] prendre,train [100] sncf,à [92] vous,pouvez [91] à,nous [91] nous,vous [91] vous,faire [91] faire,préférer [90] impossible,prendre [90] prendre,l'avion [90] l'avion,avec Top Word Pairs in Tweet in G10:
[51] à,l'etat [43] pour,les [34] des,régimes [34] régime,spécial [33] sncf,mais [33] mais,aussi [33] mettre,fin [33] fin,au [33] au,régime [33] cher,à 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: