The graph represents a network of 5,133 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 Wednesday, 11 December 2019 at 08:27 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 7-hour, 29-minute period from Tuesday, 10 December 2019 at 17:31 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 : 5133
Unique Edges : 5770
Edges With Duplicates : 1938
Total Edges : 7708
Number of Edge Types : 3
Mentions : 5532
Replies to : 1200
Tweet : 976
Self-Loops : 976
Reciprocated Vertex Pair Ratio : 0.0227728183640007
Reciprocated Edge Ratio : 0.044531528322052
Connected Components : 816
Single-Vertex Connected Components : 429
Maximum Vertices in a Connected Component : 3543
Maximum Edges in a Connected Component : 6027
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.206575
Graph Density : 0.000213115234527735
Modularity : 0.689699
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 5,133 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 Wednesday, 11 December 2019 at 08:27 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 7-hour, 29-minute period from Tuesday, 10 December 2019 at 17:31 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 : 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:
[473] ratp,sncf [342] ça,sncf [338] sncf,faisait [337] faisait,payer [337] payer,toilettes [337] toilettes,femme [337] femme,hommes [337] hommes,répondre [337] répondre,ça [337] sncf,supprime Top Word Pairs in Tweet in G1:
[51] bonjour,sncf [47] mon,billet [45] sncf,souhaiterais [45] souhaiterais,connaître [45] connaître,modalités [45] remboursement,mon [43] modalités,échange [43] échange,remboursement [27] ouigosncf,intercites [26] tgvinoui,ouigosncf Top Word Pairs in Tweet in G2:
[143] 11,décembre [90] grève,nationale [70] mercredi,11 [58] mouvement,social [56] social,ligne [56] ligne,grève [56] décembre,grève [55] décembre,mercredi [54] nationale,11 [45] sncf,ratp Top Word Pairs in Tweet in G3:
[329] sncf,faisait [329] faisait,payer [329] payer,toilettes [329] toilettes,femme [329] femme,hommes [329] hommes,répondre [329] répondre,ça [329] ça,sncf [329] sncf,supprime [328] jo_manoureva,sncf Top Word Pairs in Tweet in G4:
[233] ratp,sncf [233] sncf,grève [233] grève,chauffeurs [233] chauffeurs,uber [232] petitcon_,ratp Top Word Pairs in Tweet in G5:
[92] agents,sûreté [91] scènes,panique [91] panique,#garedunord [91] #garedunord,où [91] où,agents [91] sûreté,sncf [91] sncf,doivent [91] doivent,user [91] user,toutes [91] toutes,leurs Top Word Pairs in Tweet in G6:
[50] #sncf,#ratp [46] enseignants,sncf [46] sncf,internes [46] internes,ratp [46] ratp,grêvistes [46] grêvistes,privé [46] privé,c'est [46] c'est,juste [46] juste,manifestation [45] lordmahammer,enseignants Top Word Pairs in Tweet in G7:
[163] sncf,fidèle [163] fidèle,même [162] yassinb__,sncf Top Word Pairs in Tweet in G8:
[156] même,grève [156] grève,sncf [156] sncf,arrive [156] arrive,être [156] être,retard [156] retard,ça [156] ça,c'est [156] c'est,incroyable [155] intrnetexp,même [2] c'est,explorer Top Word Pairs in Tweet in G9:
[29] taux,gréviste [29] gréviste,sncf [29] sncf,augmente [29] augmente,ce [29] ce,jour [29] jour,bravo [29] bravo,aux [29] aux,collègues [29] collègues,mobilisés [29] mobilisés,invitons Top Word Pairs in Tweet in G10:
[125] donc,sncf [125] sncf,demande [125] demande,aux [125] aux,gens [125] gens,éviter [125] éviter,leur [125] leur,deplacement [125] deplacement,mais [125] mais,patron [125] patron,lui 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 G5:
Top Replied-To in G6:
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: