The graph represents a network of 4,997 Twitter users whose tweets in the requested range contained "RATP", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 11 December 2019 at 08:39 UTC.
The requested start date was Wednesday, 11 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 4-hour, 42-minute period from Tuesday, 10 December 2019 at 20:18 UTC to Wednesday, 11 December 2019 at 01:00 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 : 4997
Unique Edges : 5248
Edges With Duplicates : 222
Total Edges : 5470
Number of Edge Types : 3
Mentions : 4920
Replies to : 205
Tweet : 345
Self-Loops : 345
Reciprocated Vertex Pair Ratio : 0.00199163513244374
Reciprocated Edge Ratio : 0.00397535281256211
Connected Components : 340
Single-Vertex Connected Components : 134
Maximum Vertices in a Connected Component : 4236
Maximum Edges in a Connected Component : 4716
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 4.199108
Graph Density : 0.000201522034117188
Modularity : 0.714056
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 4,997 Twitter users whose tweets in the requested range contained "RATP", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 11 December 2019 at 08:39 UTC.
The requested start date was Wednesday, 11 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 4-hour, 42-minute period from Tuesday, 10 December 2019 at 20:18 UTC to Wednesday, 11 December 2019 at 01:00 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 : RATP
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:
[1910] attendez,comment [1910] comment,sa [1910] sa,contrôleurs [1910] contrôleurs,alors [1910] alors,grève [1910] grève,définition [1910] définition,culot [1910] culot,ratp [1909] graaciya,attendez [1390] grève,mais Top Word Pairs in Tweet in G1:
[1718] attendez,comment [1718] comment,sa [1718] sa,contrôleurs [1718] contrôleurs,alors [1718] alors,grève [1718] grève,définition [1718] définition,culot [1718] culot,ratp [1717] graaciya,attendez Top Word Pairs in Tweet in G2:
[1290] ratp,sont [1290] sont,malade [1290] malade,font [1290] font,grève [1290] grève,mais [1290] mais,ose [1290] ose,mettre [1290] mettre,contrôleurs [1290] contrôleurs,explique [1289] lema_leonie,ratp Top Word Pairs in Tweet in G3:
[237] ratp,fin [237] fin,mois [237] mois,quand [237] quand,leur [237] leur,demandera [237] demandera,rembourser [237] rembourser,passnavigo [237] passnavigo,75 [237] 75,20 [236] so_mkb,ratp Top Word Pairs in Tweet in G4:
[213] bon,ratp [213] ratp,vie [213] vie,dma [213] dma,mère [213] mère,allez [213] allez,rembourser [213] rembourser,ma [213] ma,navigo [213] navigo,décembre [213] décembre,ainsi Top Word Pairs in Tweet in G5:
[13] sncf,ratp [6] 11,décembre [6] ratp,sncf [4] 10,lignes [3] grève,ratp [3] bus,ratp [3] ratp,remboursez [3] gens,ratp [3] #sncf,#ratp [3] non,gréviste Top Word Pairs in Tweet in G6:
[49] #greve10décembre,#greves [49] #greves,#grevegenerale [49] #grevegenerale,#retraite [49] #retraite,#sncf [49] #sncf,#retraites [49] #retraites,#giletsjaunes [49] #giletsjaunes,#ratp [49] #ratp,#delevoye [49] #delevoye,#edouardphilippe [47] tropical_boy,#greve10décembre Top Word Pairs in Tweet in G7:
[110] ratp,sncf [110] sncf,grève [110] grève,chauffeurs [110] chauffeurs,uber [109] petitcon_,ratp [5] graaciya,attendez [5] attendez,comment [5] comment,sa [5] sa,contrôleurs [5] contrôleurs,alors Top Word Pairs in Tweet in G8:
[30] mouvement,social [28] social,trafic [28] fortement,perturbé [27] clientsratp,mouvement [26] trafic,restera [26] restera,fortement [26] perturbé,demain [26] demain,réseaux [26] réseaux,#métro [26] #métro,#rer Top Word Pairs in Tweet in G9:
[84] mdr,application [84] application,ratp [84] ratp,carrement [84] carrement,ils [84] ils,ont [84] ont,dit [84] dit,marcher [84] marcher,basic [84] basic,fit [84] fit,ici Top Word Pairs in Tweet in G10:
[64] tranche,vie [64] vie,transports [64] transports,île [64] île,france [64] france,grève [64] grève,macronie [64] macronie,#wagonabestiaux [64] #wagonabestiaux,#raslebol [64] #raslebol,#ratp [63] lafrancenouvell,tranche Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
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: