The graph represents a network of 13,872 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 Friday, 22 November 2019 at 14:28 UTC.
The tweets in the network were tweeted over the 20-hour, 40-minute period from Thursday, 21 November 2019 at 17:16 UTC to Friday, 22 November 2019 at 13:57 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 : 13872
Unique Edges : 22499
Edges With Duplicates : 12528
Total Edges : 35027
Self-Loops : 1495
Reciprocated Vertex Pair Ratio : 0.0369146005509642
Reciprocated Edge Ratio : 0.0712008501594049
Connected Components : 881
Single-Vertex Connected Components : 570
Maximum Vertices in a Connected Component : 12453
Maximum Edges in a Connected Component : 33592
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.263316
Graph Density : 0.000127149928277171
Modularity : 0.540433
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 13,872 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 Friday, 22 November 2019 at 14:28 UTC.
The tweets in the network were tweeted over the 20-hour, 40-minute period from Thursday, 21 November 2019 at 17:16 UTC to Friday, 22 November 2019 at 13:57 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 : 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:
[5563] air,france [4770] grève,5 [4655] gilets,jaunes [4323] 5,décembre [2991] les,gilets [2745] sncf,ratp [2602] réforme,des [2551] faire,grève [2537] à,faire [2502] les,appels Top Word Pairs in Tweet in G1:
[1985] 5,décembre [1983] edf,air [1983] air,france [1983] france,les [1983] les,fonctionnaires [1983] fonctionnaires,les [1983] les,gilets [1983] gilets,jaunes [1983] jaunes,ratp [1983] ratp,sncf Top Word Pairs in Tweet in G2:
[296] c,est [140] à,une [127] ce,soir [112] sncf,vos [106] les,pertes [106] pertes,carte [106] carte,navigo [106] navigo,c [106] est,réel [106] réel,sncf Top Word Pairs in Tweet in G3:
[479] sncf,et [379] sud,rail [360] pour,vous [359] grève,par [358] et,gouvernement [356] nous,avons [355] pour,ne [349] par,gratuité [349] gratuité,pour [349] ce,qu'ils Top Word Pairs in Tweet in G4:
[636] contrôleur,aérien [582] cfdt,cheminots [525] sud,rail [499] à,#greve5decembre [493] appelle,à [488] cgt,sud [486] cgt,cheminots [484] qui,appelle [484] #greve5decembre,sncf [484] sncf,sud Top Word Pairs in Tweet in G5:
[973] gilets,jaunes [957] air,france [954] grève,5 [934] sncf,ratp [931] contre,réforme [929] les,appels [929] appels,à [929] à,faire [929] faire,grève [929] avocats,policiers Top Word Pairs in Tweet in G6:
[158] dans,les [121] 5,décembre [112] rerb,rerc_sncf [112] transportsidf,le_parisien [110] rerc_sncf,rerd_sncf [108] rerd_sncf,rere_sncf [107] rer_a,rerb [107] rere_sncf,ligneh_sncf [107] ligneh_sncf,lignej_sncf [107] lignep_sncf,ligner_sncf Top Word Pairs in Tweet in G7:
[905] air,france [902] gilets,jaunes [902] grève,5 [876] 5,décembre [868] les,gilets [796] les,appels [796] appels,à [796] à,faire [796] faire,grève [792] réforme,des Top Word Pairs in Tweet in G8:
[595] air,france [594] sncf,ratp [590] ratp,taxis [590] taxis,ambulanciers [590] urgentistes,poste [590] poste,étudiants [590] avocats,policiers [583] policiers,edf [572] ambulanciers,transporteurs [572] transporteurs,air Top Word Pairs in Tweet in G9:
[58] à,une [49] 5,décembre [46] une,mendiante [38] grève,5 [37] pour,avoir [36] avoir,donné [33] euros,d'amende [30] sncf,ratp [29] 100,euros [27] renfe,sncf Top Word Pairs in Tweet in G10:
[509] air,france [476] sncf,ratp [475] gilets,jaunes [474] grève,5 [466] avocats,policiers [463] réforme,des [463] ratp,taxis [463] taxis,ambulanciers [463] urgentistes,poste [463] poste,étudiants 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 G7:
Top Replied-To in G8:
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: