The graph represents a network of 14,027 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 Tuesday, 03 December 2019 at 18:18 UTC.
The tweets in the network were tweeted over the 3-day, 23-hour, 16-minute period from Friday, 29 November 2019 at 17:36 UTC to Tuesday, 03 December 2019 at 16:52 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 : 14027
Unique Edges : 25975
Edges With Duplicates : 9885
Total Edges : 35860
Self-Loops : 2201
Reciprocated Vertex Pair Ratio : 0.0126256213039219
Reciprocated Edge Ratio : 0.0249364050016123
Connected Components : 1198
Single-Vertex Connected Components : 773
Maximum Vertices in a Connected Component : 12131
Maximum Edges in a Connected Component : 33925
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.639059
Graph Density : 0.00014186549089887
Modularity : 0.633084
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 14,027 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 Tuesday, 03 December 2019 at 18:18 UTC.
The tweets in the network were tweeted over the 3-day, 23-hour, 16-minute period from Friday, 29 November 2019 at 17:36 UTC to Tuesday, 03 December 2019 at 16:52 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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2900] 5,décembre [2690] sncf,ratp [2048] air,france [2001] ratp,taxis [1998] taxis,ambulanciers [1751] des,conducteurs [1710] je,ne [1614] sais,pas [1600] ne,sais [1579] compte,mais Top Word Pairs in Tweet in G1:
[990] 5,décembre [742] à,ratp [672] régimes,spéciaux [566] des,régimes [536] grève,5 [532] à,#ratp [518] pour,défendre [492] mois,salaire [489] réforme,des [482] prêt,à Top Word Pairs in Tweet in G2:
[445] 5,décembre [370] à,partir [344] sur,les [319] trafic,sera [296] mouvement,social [291] ce,jeudi [278] partir,5 [277] perturbé,sur [276] pour,ce [219] fortement,perturbé Top Word Pairs in Tweet in G3:
[1256] pas,des [1253] aussi,ratp [1253] fait,vivre [1252] je,ne [1252] ne,sais [1252] sais,pas [1252] des,conducteurs [1252] vivre,boite [1251] pas,s'ils [1251] s'ils,s'en Top Word Pairs in Tweet in G4:
[1099] soldataurelien,ligne9_ratp [1054] stop_homophobie,soshomophobie [1054] soshomophobie,uhomophobie [1051] ligne9_ratp,stop_homophobie [1051] uhomophobie,lerefuge [1051] lerefuge,transportsidf [1051] transportsidf,guill_melanie [666] guill_melanie,julienisnardon [666] julienisnardon,libe_lgbt [387] guill_melanie,libe_lgbt Top Word Pairs in Tweet in G5:
[921] sncf,ratp [921] air,france [919] ratp,taxis [919] taxis,ambulanciers [898] avocats,policiers [896] ambulanciers,transporteurs [896] transporteurs,air [896] france,fonctionnaires [896] fonctionnaires,professeurs [896] professeurs,infirmiers Top Word Pairs in Tweet in G6:
[859] 5,décembre [812] sncf,ratp [800] gilets,jaunes [799] lycéens,étudiants [799] étudiants,pompiers [799] pompiers,retraités [799] retraités,professeurs [799] professeurs,aide [799] aide,soignants [799] soignants,agriculteurs Top Word Pairs in Tweet in G7:
[87] 5,décembre [66] ratp,et [63] c,est [62] et,ratp [61] sncf,et [50] à,ratp [50] grève,5 [41] et,sncf [40] sncf,ratp [29] #sncf,#ratp Top Word Pairs in Tweet in G8:
[181] des,conducteurs [181] métro,et [174] prendre,relais [174] relais,des [173] ratp,formé [173] formé,une [173] une,cinquantaine [173] cinquantaine,ses [173] ses,cadres [173] cadres,pour Top Word Pairs in Tweet in G9:
[117] à,ratp [108] mon,chauffeur [108] chauffeur,taxi [108] taxi,uber [108] uber,réjouit [108] réjouit,boulot [108] boulot,prévision [108] prévision,jeudi [108] jeudi,avec [108] avec,tarif Top Word Pairs in Tweet in G10:
[190] pour,les [185] ratp,sncf [174] par,mois [170] c,est [166] sncf,ieg [164] toi,oui [164] oui,toi [164] toi,qui [164] qui,gagne [164] gagne,1500 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 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 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: