The graph represents a network of 4,789 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 Wednesday, 19 February 2020 at 08:40 UTC.
The requested start date was Wednesday, 19 February 2020 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 1-day, 18-hour, 11-minute period from Thursday, 13 February 2020 at 18:19 UTC to Saturday, 15 February 2020 at 12:30 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 : 4789
Unique Edges : 5259
Edges With Duplicates : 679
Total Edges : 5938
Number of Edge Types : 4
Replies to : 414
Mentions : 614
MentionsInRetweet : 4516
Tweet : 394
Self-Loops : 394
Reciprocated Vertex Pair Ratio : 0.0139345848654925
Reciprocated Edge Ratio : 0.0274861614811987
Connected Components : 248
Single-Vertex Connected Components : 146
Maximum Vertices in a Connected Component : 4322
Maximum Edges in a Connected Component : 5425
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.839077
Graph Density : 0.000228480646873675
Modularity : 0.627103
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 4,789 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 Wednesday, 19 February 2020 at 08:40 UTC.
The requested start date was Wednesday, 19 February 2020 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 1-day, 18-hour, 11-minute period from Thursday, 13 February 2020 at 18:19 UTC to Saturday, 15 February 2020 at 12:30 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:
[2726] contrôleurs,ratp [2725] ratp,civil [2724] civil,fument [2723] fument,bus [2723] bus,normal [2723] normal,coup [2723] coup,entends [2723] entends,scratch [2723] scratch,retourne [2722] professeurass,contrôleurs Top Word Pairs in Tweet in G1:
[2708] ratp,civil [2707] contrôleurs,ratp [2707] civil,fument [2707] fument,bus [2707] bus,normal [2707] normal,coup [2707] coup,entends [2707] entends,scratch [2707] scratch,retourne [2706] professeurass,contrôleurs Top Word Pairs in Tweet in G2:
[486] payes,ton [486] ton,amende [486] amende,ratp [486] ratp,huissiers [486] huissiers,débarquent [486] débarquent,chez [486] chez,balkany [486] balkany,lui [486] lui,détourne [486] détourne,13m Top Word Pairs in Tweet in G3:
[72] ce,qu'elle [72] qu'elle,fait [43] lundi,17 [39] trafic,interrompu [38] accompagne,votre [36] agence,ratp [36] ratp,châtelet [36] châtelet,halles [36] halles,sait [36] sait,trop Top Word Pairs in Tweet in G4:
[87] majorité,syndicats [87] syndicats,ratp [84] 17,février [74] lundi,noir [70] ce,lundi [70] laurent,mauduit [70] mauduit,conducteur [69] noir,appelé [69] appelé,par [69] par,majorité Top Word Pairs in Tweet in G5:
[25] samy,amimour [13] amimour,ratp [13] ratp,daech [13] daech,itinraire [13] itinraire,d'un [13] d'un,kamikaze [12] amimour,kamikaze [12] kamikaze,bataclan [12] bataclan,pendant [12] pendant,sa Top Word Pairs in Tweet in G6:
[14] accompagne,votre [13] cette,#saintvalentin [13] #saintvalentin,accompagne [13] votre,#ligne9 [13] #ligne9,belle [13] belle,journée [13] journée,amoureux [13] amoureux,#ratp [12] ligne9_ratp,cette [12] trafic,interrompu Top Word Pairs in Tweet in G7:
[40] ce,lundi [35] grève,ce [29] l'unsa,ratp [24] ratp,appelle [24] appelle,grève [24] lundi,aura [24] aura,répercussions [24] répercussions,trafic [24] trafic,c'est [24] c'est,sûr Top Word Pairs in Tweet in G8:
[9] accompagne,votre [7] votre,#ligne12 [7] #ligne12,#saintvalentin [7] #saintvalentin,bonne [7] bonne,journée [7] journée,tous [7] tous,#ratp [6] ligne12_ratp,accompagne [5] #ratp,#ligne10 [3] fermée,mesure Top Word Pairs in Tweet in G9:
[15] 1façon,#grévistes [15] #grévistes,#ratp [15] #ratp,démontrer [15] démontrer,leur [15] leur,détermination [15] détermination,face [15] face,projet [15] projet,gvt [15] gvt,tjs [15] tjs,intacte Top Word Pairs in Tweet in G10:
[12] diffuser,aujourd'hui [12] aujourd'hui,cet [12] cet,énorme [12] énorme,coup [12] coup,massue [12] massue,réforme [12] réforme,#retraites [12] #retraites,par [12] par,deux [12] deux,très 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 G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: