The graph represents a network of 12,871 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 Sunday, 01 December 2019 at 17:18 UTC.
The tweets in the network were tweeted over the 5-day, 5-hour, 52-minute period from Tuesday, 26 November 2019 at 10:26 UTC to Sunday, 01 December 2019 at 16:19 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 : 12871
Unique Edges : 24780
Edges With Duplicates : 9762
Total Edges : 34542
Self-Loops : 2005
Reciprocated Vertex Pair Ratio : 0.0179059180576631
Reciprocated Edge Ratio : 0.0351818723911747
Connected Components : 989
Single-Vertex Connected Components : 648
Maximum Vertices in a Connected Component : 11283
Maximum Edges in a Connected Component : 32920
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.52362
Graph Density : 0.000161980303383458
Modularity : 0.63415
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 12,871 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 Sunday, 01 December 2019 at 17:18 UTC.
The tweets in the network were tweeted over the 5-day, 5-hour, 52-minute period from Tuesday, 26 November 2019 at 10:26 UTC to Sunday, 01 December 2019 at 16:19 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:
[2416] sncf,ratp [1806] 5,décembre [1545] air,france [1405] ratp,taxis [1397] taxis,ambulanciers [1396] poste,étudiants [1386] urgentistes,poste [1384] france,fonctionnaires [1381] ambulanciers,transporteurs [1379] transporteurs,air Top Word Pairs in Tweet in G1:
[574] appels,à [526] sncf,ratp [480] à,ratp [433] grève,#5décembre [432] 5,décembre [418] ratp,ou [410] à,faire [409] faire,grève [408] des,retraites [405] à,sncf Top Word Pairs in Tweet in G2:
[754] sncf,et [554] des,comptes [550] cour,des [546] régimes,spéciaux [512] et,ratp [485] 5,décembre [359] sncf,ratp [357] pour,leurs [356] des,régimes [352] ratp,sncf Top Word Pairs in Tweet in G3:
[255] à,partir [255] et,#ratp [253] c,est [230] idfmobilites,et [226] 5,décembre [221] alstom,bombardier [215] et,13 [214] lignes,3 [213] 3,3bis [212] 10,12 Top Word Pairs in Tweet in G4:
[830] fait,vivre [829] des,conducteurs [829] vivre,boite [828] je,ne [828] ne,sais [828] sais,pas [828] pas,s'ils [828] s'ils,s'en [828] s'en,rendent [828] rendent,compte Top Word Pairs in Tweet in G5:
[866] air,france [864] sncf,ratp [864] ratp,taxis [864] taxis,ambulanciers [864] ambulanciers,transporteurs [864] transporteurs,air [864] france,fonctionnaires [864] fonctionnaires,professeurs [864] professeurs,infirmiers [864] infirmiers,et Top Word Pairs in Tweet in G6:
[801] soldataurelien,ligne9_ratp [779] stop_homophobie,soshomophobie [779] soshomophobie,uhomophobie [776] ligne9_ratp,stop_homophobie [776] uhomophobie,lerefuge [776] lerefuge,transportsidf [776] transportsidf,guill_melanie [548] guill_melanie,julienisnardon [548] julienisnardon,libe_lgbt [230] guill_melanie,libe_lgbt Top Word Pairs in Tweet in G7:
[113] 5,décembre [69] grève,5 [63] ratp,et [52] c,est [46] sncf,ratp [39] et,sncf [31] et,ratp [29] sncf,et [28] #sncf,#ratp [28] réforme,des Top Word Pairs in Tweet in G8:
[474] et,qui [474] elle,compare [473] cette,infographie [473] infographie,publiée [473] publiée,initialement [473] initialement,septembre [473] septembre,dans [473] dans,parisien [473] parisien,et [473] qui,circule Top Word Pairs in Tweet in G9:
[203] dans,les [186] sncf,ratp [152] ratp,vous [150] n'est,pas [149] dans,une [149] ou,les [149] ce,qu'ils [148] cette,photo [148] photo,est [148] est,gênante Top Word Pairs in Tweet in G10:
[91] 5,décembre [71] sncf,ratp [65] voici,liste [64] transports,commun [63] info,parisien [63] parisien,location [63] location,voitures [63] voitures,scooters [63] scooters,trottinettes [63] trottinettes,et 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: