The graph represents a network of 3,770 Twitter users whose tweets in the requested range contained "RATP", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 31 December 2019 at 10:23 UTC.
The requested start date was Tuesday, 31 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 1-hour, 35-minute period from Saturday, 28 December 2019 at 23:26 UTC to Tuesday, 31 December 2019 at 01:01 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 : 3770
Unique Edges : 5287
Edges With Duplicates : 872
Total Edges : 6159
Number of Edge Types : 4
Mentions : 545
Replies to : 412
MentionsInRetweet : 4697
Tweet : 505
Self-Loops : 505
Reciprocated Vertex Pair Ratio : 0.00975329890992542
Reciprocated Edge Ratio : 0.0193181818181818
Connected Components : 211
Single-Vertex Connected Components : 112
Maximum Vertices in a Connected Component : 3359
Maximum Edges in a Connected Component : 5749
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.57422
Graph Density : 0.000371592067916896
Modularity : 0.667979
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 3,770 Twitter users whose tweets in the requested range contained "RATP", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 31 December 2019 at 10:23 UTC.
The requested start date was Tuesday, 31 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 1-hour, 35-minute period from Saturday, 28 December 2019 at 23:26 UTC to Tuesday, 31 December 2019 at 01:01 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 : 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[709] #ratp,#sncf [595] 9000,#ratp [593] eu,870 [593] 870,000 [593] 000,départs [592] dernier,eu [592] départs,#retraite [592] #retraite,dont [592] dont,9000 [591] #sncf,#gouvernement Top Word Pairs in Tweet in G1:
[431] dépôt,bus [373] bus,ratp [292] centre,bus [265] intervention,immédiate [261] labasofficiel,direct [259] immédiate,forces [258] blocage,cours [258] cours,centre [258] ratp,paris [258] paris,porte Top Word Pairs in Tweet in G2:
[472] #ratp,#sncf [471] dernier,eu [471] eu,870 [471] 870,000 [471] 000,départs [471] départs,#retraite [471] #retraite,dont [471] dont,9000 [471] 9000,#ratp [471] #sncf,#gouvernement Top Word Pairs in Tweet in G3:
[62] encore,action [62] action,illégale [62] illégale,revendiquée [62] revendiquée,par [62] par,cgt [62] cgt,devant [62] devant,caméras [62] caméras,revoir [62] revoir,ce [62] ce,reportage Top Word Pairs in Tweet in G4:
[248] bus,60 [248] macron,ratp [247] 60,bondé [247] bondé,mec [247] mec,crie [247] crie,ratp [247] ratp,fils [247] fils,papy [247] papy,répond [247] répond,macron Top Word Pairs in Tweet in G5:
[250] info,#retraites [250] #retraites,grande [250] grande,diversion [250] diversion,alors [250] alors,médias [250] médias,focalisent [250] focalisent,transports [250] transports,régimes [249] brevesdepresse,info [249] régimes,spécia Top Word Pairs in Tweet in G6:
[181] pauvre,hôtel [181] #paris,craint [181] craint,faire [181] faire,salle [181] salle,comble [151] comble,réveillon [151] réveillon,270 [150] bfm,pleure [150] pleure,pauvre [150] hôtel,fauchon Top Word Pairs in Tweet in G7:
[159] #reformedesretraites,#macron [128] #macron,#giletsjaunes [124] #retraites,#reformeretraites [123] tropical_boy,#retraites [118] #cgt,#edouardphilippe [118] #edouardphilippe,#sncf [114] #reformeretraites,#reformedesretraites [109] #sncf,#r [90] #giletsjaunes,#greve29decembre [84] #greve29decembre,#cgt Top Word Pairs in Tweet in G8:
[18] bonne,journée [18] ratp,sncf [17] mouvement,social [12] stations,fermées [11] ligne,13 [10] 30,décembre [10] grève,ratp [10] sncf,désormais [10] désormais,plus [10] plus,longue Top Word Pairs in Tweet in G9:
[39] ratp,sncf [35] mouvement,social [28] ratpgroup,mouvement [28] social,trafic [26] sncf,ratp [26] grève,ratp [24] lundi,30 [22] 30,décembre [20] décembre,restera [20] restera,très Top Word Pairs in Tweet in G10:
[39] #ratp,#sncf [33] clementlanot,grève [32] aujourd,hui [30] donne,caisse [30] #ratp,14 [30] 14,lignes [30] lignes,ouvertes [30] ouvertes,vraiment [30] vraiment,exemples [30] exemples,rame Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: