The graph represents a network of 4,389 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 Friday, 13 March 2020 at 08:10 UTC.
The requested start date was Friday, 13 March 2020 at 00:01 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 3-day, 2-hour, 5-minute period from Monday, 09 March 2020 at 21:48 UTC to Thursday, 12 March 2020 at 23:54 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 : 4389
Unique Edges : 6154
Edges With Duplicates : 2234
Total Edges : 8388
Number of Edge Types : 4
MentionsInRetweet : 4456
Tweet : 974
Replies to : 1041
Mentions : 1917
Self-Loops : 974
Reciprocated Vertex Pair Ratio : 0.0280926564810251
Reciprocated Edge Ratio : 0.0546500479386385
Connected Components : 642
Single-Vertex Connected Components : 362
Maximum Vertices in a Connected Component : 3145
Maximum Edges in a Connected Component : 6986
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.363671
Graph Density : 0.000324940136867403
Modularity : 0.655738
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 4,389 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 Friday, 13 March 2020 at 08:10 UTC.
The requested start date was Friday, 13 March 2020 at 00:01 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 3-day, 2-hour, 5-minute period from Monday, 09 March 2020 at 21:48 UTC to Thursday, 12 March 2020 at 23:54 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:
[526] grève,ratp [382] ratp,covid19 [382] covid19,vs [382] vs,l'économie [382] l'économie,française [381] coach_shakeeb,grève [315] sncf,ratp [278] ratp,sncf [159] 14,mars [147] cgt,ratp Top Word Pairs in Tweet in G1:
[57] trafic,perturbé [53] jusqu'au,14 [53] idfmobilites,plusdetrams [53] plusdetrams,issylesmoul [53] issylesmoul,atelierdutram [53] atelierdutram,philippe_goujon [53] philippe_goujon,c_najdovski [52] #grandprixpoesie,#ratp [52] #ratp,déposez [52] déposez,poèmes Top Word Pairs in Tweet in G2:
[119] meeting,extraordinaire [119] extraordinaire,ai [119] ai,eu [119] eu,plaisir [119] plaisir,animer [119] animer,egoutiers [119] egoutiers,avocats [119] avocats,grevistes [119] grevistes,opera [117] anassekazib,meeting Top Word Pairs in Tweet in G3:
[380] grève,ratp [380] ratp,covid19 [380] covid19,vs [380] vs,l'économie [380] l'économie,française [379] coach_shakeeb,grève [2] grève,sncf [2] sncf,ratp [2] ratp,covid [2] covid,19 Top Word Pairs in Tweet in G4:
[32] sncf,ratp [17] ratp,sncf [16] grève,ratp [12] par,ratp [10] #ratp,#sncf [9] #sncf,#ratp [8] ratp,ils [7] ils,sont [7] coronavirus,sncf [7] ratp,pourraient Top Word Pairs in Tweet in G5:
[92] #covid19fr,peut [92] peut,s'attendre [92] s'attendre,pic [92] pic,épidémique [92] épidémique,avoir [92] avoir,plus [92] plus,personnes [92] personnes,absentes [92] absentes,#ratp [91] conflits_fr,#covid19fr Top Word Pairs in Tweet in G6:
[93] ratp,sncf [72] grève,ratp [40] sncf,janvier [28] asso_usagersidf,asso_sadur [25] dédommagement,votre [23] dédommagement,grève [23] janvier,beaucoup [23] beaucoup,battu [23] battu,asso_usagersidf [23] sncf,aujourd Top Word Pairs in Tweet in G7:
[138] 14,mars [136] cgt,ratp [119] tous,paris [119] paris,14 [119] mars,pludosky [119] pludosky,gilet [119] gilet,jaune [119] jaune,olivierterriot [119] olivierterriot,cgt [119] ratp,faouzilellouche Top Word Pairs in Tweet in G8:
[60] coronavirus,pourrait [49] sncf,ratp [46] crise,coronavirus [45] direct,crise [45] pourrait,entraîner [45] entraîner,adaptations [45] adaptations,desserte [45] desserte,sncf [44] le_parisien,direct [44] ratp,prévient Top Word Pairs in Tweet in G9:
[77] sncf,ratp [75] coronavirus,sncf [75] ratp,pourraient [75] réduire,leur [75] leur,trafic [75] trafic,selon [75] selon,secrétaire [75] secrétaire,d'état [75] d'état,aux [74] aux,transports Top Word Pairs in Tweet in G10:
[17] #bilantransports,arrêtez [17] arrêtez,anne_hidalgo [17] anne_hidalgo,tromper [17] tromper,parisiens [17] parisiens,avez [17] avez,jamais [17] jamais,aidé [17] aidé,notre [17] notre,équipe [17] équipe,emmenée Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 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: