The graph represents a network of 13,121 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 Tuesday, 03 December 2019 at 18:22 UTC.
The tweets in the network were tweeted over the 18-hour, 25-minute period from Monday, 02 December 2019 at 22:17 UTC to Tuesday, 03 December 2019 at 16:43 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 : 13121
Unique Edges : 19436
Edges With Duplicates : 13367
Total Edges : 32803
Self-Loops : 2207
Reciprocated Vertex Pair Ratio : 0.0536491297468354
Reciprocated Edge Ratio : 0.101834905439016
Connected Components : 1176
Single-Vertex Connected Components : 826
Maximum Vertices in a Connected Component : 11254
Maximum Edges in a Connected Component : 30888
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.27428
Graph Density : 0.000123783369054634
Modularity : 0.5243
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 13,121 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 Tuesday, 03 December 2019 at 18:22 UTC.
The tweets in the network were tweeted over the 18-hour, 25-minute period from Monday, 02 December 2019 at 22:17 UTC to Tuesday, 03 December 2019 at 16:43 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:
[3524] 5,décembre [3246] des,trains [2479] grève,nationale [1853] sncf,ratp [1689] air,france [1660] ratp,taxis [1660] taxis,ambulanciers [1645] nationale,interprofessionnelle [1550] une,grève [1516] à,17h Top Word Pairs in Tweet in G1:
[2503] des,trains [1352] 5,décembre [1255] 17h,sur [1253] circulation,des [1250] une,grève [1247] grève,nationale [1239] d,une [1239] nationale,interprofessionnelle [1228] fortement,perturbée [1227] interprofessionnelle,circulation Top Word Pairs in Tweet in G2:
[211] grève,nationale [198] 12,19 [196] c,est [167] à,partir [159] nationale,interprofessionnelle [158] ce,matin [153] les,trains [152] des,trains [151] 5,décembre [145] 03,12 Top Word Pairs in Tweet in G3:
[958] 5,décembre [842] sncf,ratp [821] tous,ensemble [820] air,france [819] ratp,taxis [819] taxis,ambulanciers [815] gilets,jaunes [814] lycéens,étudiants [814] étudiants,pompiers [814] pompiers,retraités Top Word Pairs in Tweet in G4:
[113] à,sncf [111] 5,décembre [90] sncf,et [89] sncf,iledba [86] gg_rmc,anassekazib [84] c,est [83] grève,5 [75] sur,les [73] pour,les [68] marclandes40,sncf Top Word Pairs in Tweet in G5:
[98] 5,décembre [65] grève,5 [55] à,sncf [40] c,est [39] sncf,et [34] des,trains [29] les,prévisions [25] et,ratp [24] pour,les [22] et,sncf Top Word Pairs in Tweet in G6:
[688] sncf,ratp [688] ratp,taxis [688] taxis,ambulanciers [688] air,france [680] grève,nationale [669] ambulanciers,transporteurs [669] transporteurs,air [669] france,fonctionnaires [669] fonctionnaires,professeurs [669] professeurs,infirmiers Top Word Pairs in Tweet in G7:
[98] 5,décembre [78] des,trains [59] à,partir [53] pour,les [53] grève,5 [52] sncf,ouisncf [46] grève,nationale [45] nationale,interprofessionnelle [43] à,17h [38] les,trajets Top Word Pairs in Tweet in G8:
[165] 5,décembre [96] sur,10 [83] des,trains [79] trafic,sncf [77] 10,des [63] #greve5decembre,#sncf [56] 3,des [55] les,prévisions [54] grève,5 [52] des,ter Top Word Pairs in Tweet in G9:
[98] sur,10 [93] gilets,jaunes [90] 5,décembre [84] sncf,annonce [68] t,elle [62] mise,concurrence [61] grève,5 [59] les,gilets [58] 1,tgv [58] tgv,sur Top Word Pairs in Tweet in G10:
[123] 5,décembre [87] sur,les [86] grève,5 [85] des,trains [59] dans,les [57] sncf,et [54] à,sncf [44] pour,les [43] grève,nationale [42] nationale,interprofessionnelle 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 G6:
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:
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: