The graph represents a network of 13,189 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 Wednesday, 13 November 2019 at 17:40 UTC.
The tweets in the network were tweeted over the 8-day, 18-hour, 43-minute period from Monday, 04 November 2019 at 22:39 UTC to Wednesday, 13 November 2019 at 17:23 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 : 13189
Unique Edges : 20962
Edges With Duplicates : 6032
Total Edges : 26994
Self-Loops : 2430
Reciprocated Vertex Pair Ratio : 0.0226226993865031
Reciprocated Edge Ratio : 0.0442444694413198
Connected Components : 1408
Single-Vertex Connected Components : 917
Maximum Vertices in a Connected Component : 10875
Maximum Edges in a Connected Component : 24552
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.610111
Graph Density : 0.000122665432929294
Modularity : 0.651327
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 13,189 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 Wednesday, 13 November 2019 at 17:40 UTC.
The tweets in the network were tweeted over the 8-day, 18-hour, 43-minute period from Monday, 04 November 2019 at 22:39 UTC to Wednesday, 13 November 2019 at 17:23 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:
[3399] c,est [3177] 5,décembre [3085] sncf,ratp [2532] ce,jour [2522] faire,grève [2516] jour,là [2512] jeudi,5 [2509] font,grève [2506] décembre,sncf [2506] vont,faire Top Word Pairs in Tweet in G1:
[2455] 5,décembre [2454] c,est [2453] sncf,ratp [2440] ce,jour [2440] jour,là [2439] jeudi,5 [2439] décembre,sncf [2439] ratp,font [2439] font,grève [2439] grève,mais Top Word Pairs in Tweet in G2:
[416] une,ligne [386] trafic,est [329] sur,ligne [265] #ratp,#sncf [245] ligne,13 [243] des,stations [234] #transports,#paris [225] #paris,#ratp [223] c,est [218] ligne,14 Top Word Pairs in Tweet in G3:
[393] #sncf,#ratp [378] au,sein [367] les,agents [335] les,gens [325] élu,cgt [307] et,#manu [307] #manu,tu [294] #giletsjaunes,etc [282] élus,personnel [279] grève,reconductible Top Word Pairs in Tweet in G4:
[89] à,paris [78] c,est [63] 5,décembre [54] ratp,et [48] mobileye,pour [45] j,ai [42] et,ratp [38] je,suis [37] robots,taxis [37] au,bord Top Word Pairs in Tweet in G5:
[416] 4,personnes [415] plus,4 [341] est,au [341] au,bord [341] bord,l [341] l,asphyxie [325] métro,est [237] souvent,plus [237] personnes,par [229] à,paris Top Word Pairs in Tweet in G6:
[161] irresponsables,#laurentbrun [161] #laurentbrun,#cgtcheminots [161] #cgtcheminots,fait [161] fait,perdre [161] perdre,249 [161] 249,millions [161] millions,à [161] à,#sncf [161] #sncf,#erikmeyer [161] #erikmeyer,#sudrail Top Word Pairs in Tweet in G7:
[487] grève,reconductible [482] une,grève [481] par,une [475] grève,générale [474] contre,précarité [474] précarité,hospitaliers [474] hospitaliers,dans [474] dans,rue [474] rue,jeudi [474] jeudi,ratp Top Word Pairs in Tweet in G8:
[318] plus,4 [318] 4,personnes [318] personnes,par [313] est,au [313] au,bord [313] bord,l [313] l,asphyxie [313] souvent,plus [309] métro,paris [309] paris,est Top Word Pairs in Tweet in G9:
[42] 5,décembre [39] pour,les [37] c,est [33] grève,illimitée [32] cheminots,salariés [32] salariés,ratp [32] ratp,personnels [32] personnels,hospitaliers [32] hospitaliers,profs [32] profs,pompiers Top Word Pairs in Tweet in G10:
[146] plus,4 [146] 4,personnes [146] est,au [145] au,bord [145] bord,l [145] l,asphyxie [144] souvent,plus [144] personnes,par [141] par,m2 [141] métro,paris 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:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: