The graph represents a network of 4,222 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 Monday, 02 March 2020 at 08:34 UTC.
The requested start date was Monday, 02 March 2020 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, 15-hour, 47-minute period from Saturday, 29 February 2020 at 09:13 UTC to Monday, 02 March 2020 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 : 4222
Unique Edges : 6571
Edges With Duplicates : 4022
Total Edges : 10593
Number of Edge Types : 4
Replies to : 2047
Mentions : 4574
MentionsInRetweet : 3090
Tweet : 882
Self-Loops : 882
Reciprocated Vertex Pair Ratio : 0.0616001187472169
Reciprocated Edge Ratio : 0.116051454138702
Connected Components : 573
Single-Vertex Connected Components : 313
Maximum Vertices in a Connected Component : 3015
Maximum Edges in a Connected Component : 9351
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.952992
Graph Density : 0.000401322884124414
Modularity : 0.553648
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 4,222 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 Monday, 02 March 2020 at 08:34 UTC.
The requested start date was Monday, 02 March 2020 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, 15-hour, 47-minute period from Saturday, 29 February 2020 at 09:13 UTC to Monday, 02 March 2020 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 : 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:
[244] ratp,sncf [226] 14,mars [216] sera,rue [216] #giletsjaunes,après [161] régimes,spéciaux [133] coordination,ratp [126] #ratp,#sncf [126] ce,gouvernement [111] sncf,sera [110] mars,#giletsjaunes Top Word Pairs in Tweet in G1:
[68] sncf,ouisncf [61] gare,lyon [58] trainsexpo,sncf [48] aujourd,hui [42] ouisncf,jpfarandou [40] ouigosncf,sncf [37] aldelatte,ouigosncf [35] ouisncf,aldelatte [34] perlita13000,ouisncf [31] sncf,groupesncf Top Word Pairs in Tweet in G2:
[35] 17uniform,agentpaix [35] agentpaix,suge_sncf [33] trafic,interrompu [25] 02,20 [23] modernisation,extension [23] extension,réseau [23] réseau,ligne [22] sncf,clientsratp [21] bonne,soirée [21] minsolisante,idfmobilites Top Word Pairs in Tweet in G3:
[14] sncf,ratp [9] derrière,pertes [8] agents,sncf [7] ça,fait [7] raisons,espérer [7] #ratp,#sncf [7] gare,sncf [7] droit,retrait [6] mon,train [5] millions,d'euros Top Word Pairs in Tweet in G4:
[100] régimes,spéciaux [57] ratp,sncf [56] sncf,opéra [56] opéra,paris [47] ce,sont [46] paris,décidez [46] décidez,toujours [46] toujours,d'harmoniser [46] d'harmoniser,vers [46] vers,bas Top Word Pairs in Tweet in G5:
[50] votre,service [35] trafic,interrompu [35] ai,envie [34] waw,ai [34] ai,oublié [34] oublié,mon [34] mon,sac [34] sac,rerc_sncf [34] rerc_sncf,ai [34] envie,pleurer Top Word Pairs in Tweet in G6:
[217] 14,mars [139] sera,rue [139] #giletsjaunes,après [116] ratp,sncf [112] coordination,ratp [105] tous,paris [105] paris,14 [105] mars,coordination [105] sncf,sera [105] rue,14 Top Word Pairs in Tweet in G7:
[13] aujourd'hui,patrick [13] patrick,était [13] était,star [13] star,vieil [13] vieil,autorail [13] autorail,plus [13] plus,vieux [13] vieux,circulations [13] circulations,stéréotype [12] infrapower19_95,aujourd'hui Top Word Pairs in Tweet in G8:
[8] trains,nuit [8] herve_morin,vinc_brt [7] ce,matin [6] tempo,normandie [6] avenir,trains [6] nuit,appartient [6] appartient,aux [6] aux,citoyens [6] citoyens,européens [6] européens,rfi Top Word Pairs in Tweet in G9:
[39] fromfantasia,agentpaix [38] agentpaix,suge_sncf [18] fromfantasia,suge_sncf [16] suge_sncf,agentpaix [9] r315,csi [8] derrière,pertes [8] pertes,sncf [8] sncf,raisons [8] raisons,espérer [7] réforme,retraites Top Word Pairs in Tweet in G10:
[78] ce,gouvernement [70] sera,rue [70] #giletsjaunes,après [68] coordination,#ratp [68] #ratp,#sncf [68] #sncf,sera [68] rue,#14mars [68] #14mars,#giletsjaunes [68] après,#49al3 [68] #49al3,ce Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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 G9:
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: