The graph represents a network of 12,725 Twitter users whose recent tweets contained "RATP", 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, 29 November 2019 at 17:15 UTC.
The tweets in the network were tweeted over the 4-day, 8-hour, 28-minute period from Monday, 25 November 2019 at 08:15 UTC to Friday, 29 November 2019 at 16:43 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 : 12725
Unique Edges : 20781
Edges With Duplicates : 6050
Total Edges : 26831
Number of Edge Types : 4
Retweet : 12624
Mentions : 8701
Replies to : 3576
Tweet : 1930
Self-Loops : 2027
Reciprocated Vertex Pair Ratio : 0.0201364540888847
Reciprocated Edge Ratio : 0.0394779620082671
Connected Components : 966
Single-Vertex Connected Components : 623
Maximum Vertices in a Connected Component : 11166
Maximum Edges in a Connected Component : 25318
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.545644
Graph Density : 0.000132978904089791
Modularity : 0.639726
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 12,725 Twitter users whose recent tweets contained "RATP", 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, 29 November 2019 at 17:15 UTC.
The tweets in the network were tweeted over the 4-day, 8-hour, 28-minute period from Monday, 25 November 2019 at 08:15 UTC to Friday, 29 November 2019 at 16:43 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 : 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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[4451] sncf,ratp [2796] air,france [2488] ratp,taxis [2485] taxis,ambulanciers [2484] poste,étudiants [2472] france,fonctionnaires [2470] urgentistes,poste [2444] transporteurs,air [2443] infirmiers,urgentistes [2442] ambulanciers,transporteurs Top Word Pairs in Tweet in G1:
[699] sncf,ratp [612] ratp,sncf [440] air,france [427] ratp,taxis [427] taxis,ambulanciers [427] #sncf,#ratp [426] poste,étudiants [425] france,fonctionnaires [421] ambulanciers,transporteurs [421] transporteurs,air Top Word Pairs in Tweet in G2:
[694] sncf,ratp [643] régimes,spéciaux [441] cour,comptes [372] ratp,sncf [351] milliards,euros [289] euros,mois [277] #sncf,#ratp [252] cheminots,sncf [247] agents,ratp [212] 57,ans Top Word Pairs in Tweet in G3:
[1728] air,france [1717] sncf,ratp [1703] france,fonctionnaires [1683] ratp,taxis [1683] taxis,ambulanciers [1683] professeurs,infirmiers [1682] ambulanciers,transporteurs [1682] transporteurs,air [1682] fonctionnaires,professeurs [1682] urgentistes,poste Top Word Pairs in Tweet in G4:
[121] sncf,ratp [120] ratp,sncf [112] trafic,perturbé [111] service,minimum [73] idfmobilites,#ratp [67] alstom,bombardier [67] 12,13 [67] trafic,rétabli [66] #ratp,passent [66] passent,commande Top Word Pairs in Tweet in G5:
[259] sncf,ratp [151] tous,français [147] #retraites,rapport [147] rapport,cor [147] cor,creuser [147] creuser,fait [147] fait,rien [147] rien,justifie [147] justifie,réforme [147] réforme,baisser Top Word Pairs in Tweet in G6:
[472] cette,infographie [471] infographie,publiée [471] publiée,initialement [471] initialement,septembre [471] septembre,parisien [471] parisien,circule [471] circule,nouveau [471] nouveau,avant [471] avant,#greve5decembre [471] #greve5decembre,fausse Top Word Pairs in Tweet in G7:
[68] sncf,ratp [61] ratp,sncf [52] grève,décembre [27] #sncf,#ratp [23] réforme,retraites [21] partir,décembre [20] grève,ratp [18] contre,réforme [17] régimes,spéciaux [16] #ratp,#sncf Top Word Pairs in Tweet in G8:
[71] sncf,ratp [61] trottinettes,vélos [60] info,parisien [60] parisien,location [60] location,voitures [60] voitures,scooters [60] scooters,trottinettes [60] vélos,ratp [60] ratp,retenu [60] retenu,32 Top Word Pairs in Tweet in G9:
[80] décembre,double [80] double,salaire [76] 13e,mois [76] mois,versé [74] #grève5décembre,élément [74] élément,vient [74] vient,renforcer [74] renforcer,craintes [74] craintes,grève [74] grève,durable Top Word Pairs in Tweet in G10:
[205] sncf,gouvernement [204] propose,grève [204] grève,par [204] par,gratuité [204] gratuité,plus [204] plus,gêner [204] gêner,écope [204] écope,d'un [204] d'un,refus [204] refus,sncf Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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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 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: