The graph represents a network of 18,068 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 Sunday, 19 January 2020 at 17:29 UTC.
The requested start date was Sunday, 19 January 2020 at 09:21 UTC and the maximum number of tweets (going backward in time) was 25,000.
The tweets in the network were tweeted over the 2-day, 20-hour, 50-minute period from Thursday, 16 January 2020 at 12:30 UTC to Sunday, 19 January 2020 at 09:21 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 : 18068
Unique Edges : 26928
Edges With Duplicates : 8610
Total Edges : 35538
Number of Edge Types : 4
MentionsInRetweet : 21119
Replies to : 4291
Mentions : 6883
Tweet : 3245
Self-Loops : 3245
Reciprocated Vertex Pair Ratio : 0.0215447750256485
Reciprocated Edge Ratio : 0.042180774748924
Connected Components : 1505
Single-Vertex Connected Components : 1035
Maximum Vertices in a Connected Component : 15707
Maximum Edges in a Connected Component : 32924
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.319095
Graph Density : 8.54076245530819E-05
Modularity : 0.62796
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 18,068 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 Sunday, 19 January 2020 at 17:29 UTC.
The requested start date was Sunday, 19 January 2020 at 09:21 UTC and the maximum number of tweets (going backward in time) was 25,000.
The tweets in the network were tweeted over the 2-day, 20-hour, 50-minute period from Thursday, 16 January 2020 at 12:30 UTC to Sunday, 19 January 2020 at 09:21 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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[4974] ratp,sncf [3631] grévistes,ratp [3410] ont,envahi [3383] sncf,ont [3247] adama,cissé [3246] envahi,siège [3244] siège,derichebourg [3244] derichebourg,soutenir [3244] soutenir,adama [3244] cissé,réclamer Top Word Pairs in Tweet in G1:
[1150] ratp,sncf [1106] #cgt,#agepivot [1099] #reformedesretraites,#macron [1097] #macron,#giletsjaunes [1092] tropical_boy,#retraites [1081] #agepivot,#edouardphilippe [757] coordination,ratp [642] #retraites,#reformeretraites [641] #reformeretraites,#reformedesretraites [635] #edouardphilippe,# Top Word Pairs in Tweet in G2:
[3177] ratp,sncf [3175] ont,envahi [3174] grévistes,ratp [3174] sncf,ont [3173] envahi,siège [3173] siège,derichebourg [3173] derichebourg,soutenir [3173] soutenir,adama [3173] adama,cissé [3173] cissé,réclamer Top Word Pairs in Tweet in G3:
[221] bonjour,sncf [218] grève,nationale [197] sncf,excusez [195] excusez,déranger [195] déranger,mais [195] mais,fouteriez [195] fouteriez,peu [195] peu,notre [195] notre,gueule [194] gueule,d'avance Top Word Pairs in Tweet in G4:
[451] milliard,d'euros [298] grève,sncf [256] d'euros,pertes [248] sncf,ratp [210] ratp,sncf [209] réforme,retraites [203] plan,d'économies [194] très,loin [194] pertes,#sncf [189] 850,millions Top Word Pairs in Tweet in G5:
[81] sncf,ratp [51] grève,sncf [48] réforme,retraites [45] milliard,d'euros [38] ratp,sncf [35] plan,d'économies [32] 17,janvier [32] très,loin [32] loin,milliard [31] plan,économies Top Word Pairs in Tweet in G6:
[1008] bonjour,tous [1008] tous,sauf [1008] sauf,sncf [1008] sncf,décidé [1008] décidé,annuler [1008] annuler,mon [1008] mon,train [1008] train,moment [1008] moment,où [1008] où,suis Top Word Pairs in Tweet in G7:
[146] zohrabitan,sncf [93] grévistes,télécommande [92] rigolez,bien [92] bien,grévistes [92] télécommande,aux [92] aux,tweets [92] tweets,soutien [92] soutien,mds [92] mds,perte [92] perte,sncf Top Word Pairs in Tweet in G8:
[433] avez,volé [433] volé,valise [433] valise,maman [433] maman,ce [433] ce,matin [433] matin,tgv [433] tgv,8h10 [433] 8h10,paris [433] paris,nancy [433] nancy,2503 Top Word Pairs in Tweet in G9:
[21] scatophobie,ordinaire [21] ordinaire,sncf [21] sncf,bientôt [21] bientôt,ateliers [21] ateliers,sensibiliser [21] sensibiliser,agents [21] agents,aux [21] aux,différences [21] différences,culturelles [20] damocles_fr,scatophobie Top Word Pairs in Tweet in G10:
[216] #reformeretraites,début [216] début,piste [216] piste,financements [216] financements,boulogiletjaune [216] boulogiletjaune,parlé [216] parlé,moment [215] tomnitruand,#reformeretraites [215] moment,payé [23] ratp,sncf [16] #retraites,#reformedesretraites Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: