The graph represents a network of 4,090 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 Thursday, 12 March 2020 at 07:54 UTC.
The requested start date was Thursday, 12 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, 7-hour, 31-minute period from Sunday, 08 March 2020 at 16:26 UTC to Wednesday, 11 March 2020 at 23:57 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 : 4090
Unique Edges : 6658
Edges With Duplicates : 2711
Total Edges : 9369
Number of Edge Types : 4
MentionsInRetweet : 4823
Replies to : 1231
Mentions : 2301
Tweet : 1014
Self-Loops : 1014
Reciprocated Vertex Pair Ratio : 0.03081986834231
Reciprocated Edge Ratio : 0.0597968069666183
Connected Components : 591
Single-Vertex Connected Components : 333
Maximum Vertices in a Connected Component : 2888
Maximum Edges in a Connected Component : 8047
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.261738
Graph Density : 0.000411982532897313
Modularity : 0.614271
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 4,090 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 Thursday, 12 March 2020 at 07:54 UTC.
The requested start date was Thursday, 12 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, 7-hour, 31-minute period from Sunday, 08 March 2020 at 16:26 UTC to Wednesday, 11 March 2020 at 23:57 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:
[400] ratp,sncf [330] 14,mars [313] cgt,ratp [307] sncf,ratp [297] tous,paris [297] paris,14 [297] mars,pludosky [297] pludosky,gilet [297] gilet,jaune [297] jaune,olivierterriot Top Word Pairs in Tweet in G1:
[48] idfmobilites,plusdetrams [48] plusdetrams,issylesmoul [48] issylesmoul,atelierdutram [48] atelierdutram,philippe_goujon [48] philippe_goujon,c_najdovski [46] trafic,rétabli [46] c_najdovski,t2_ratp [45] rétabli,ligne [45] trafic,perturbé [44] asso_usagersidf,idfmobilites Top Word Pairs in Tweet in G2:
[217] grand,meeting [193] ratp,sncf [146] meeting,grève [127] invitation,grand [127] grève,plusieurs [127] plusieurs,secteurs [127] secteurs,ratp [127] sncf,raffineurs [127] raffineurs,égoutiers [127] égoutiers,avocats Top Word Pairs in Tweet in G3:
[28] sncf,ratp [15] ratp,sncf [13] prochains,jours [10] passer,sncf [10] ratp,prochains [10] par,ratp [9] #sncf,#ratp [9] #ratp,#sncf [8] coronavirus,passer [7] agent,ratp Top Word Pairs in Tweet in G4:
[282] 14,mars [280] cgt,ratp [267] tous,paris [267] paris,14 [267] mars,pludosky [267] pludosky,gilet [267] gilet,jaune [267] jaune,olivierterriot [267] olivierterriot,cgt [267] ratp,faouzilellouche Top Word Pairs in Tweet in G5:
[90] #covid19fr,peut [90] peut,s'attendre [90] s'attendre,pic [90] pic,épidémique [90] épidémique,avoir [90] avoir,plus [90] plus,personnes [90] personnes,absentes [90] absentes,#ratp [89] conflits_fr,#covid19fr Top Word Pairs in Tweet in G6:
[62] coronavirus,sncf [62] sncf,ratp [62] ratp,pourraient [62] réduire,leur [62] leur,trafic [62] trafic,selon [62] selon,secrétaire [62] secrétaire,d'état [62] d'état,aux [61] aux,transports Top Word Pairs in Tweet in G7:
[60] sncf,ratp [58] coronavirus,pourrait [53] ratp,prévient [45] crise,coronavirus [44] direct,crise [44] pourrait,entraîner [44] entraîner,adaptations [44] adaptations,desserte [44] desserte,sncf [43] le_parisien,direct Top Word Pairs in Tweet in G8:
[47] sncf,ratp [24] pourraient,réduire [24] réduire,leur [24] leur,trafic [24] trafic,selon [23] selon,secrétaire [23] secrétaire,d'état [23] d'état,aux [23] coronavirus,sncf [23] ratp,pourraient Top Word Pairs in Tweet in G9:
[19] agents,ratp [18] troisième,cas [18] cas,coronavirus [18] coronavirus,identifié [18] identifié,parmi [18] parmi,agents [15] franceinfo,troisième [13] #ratp,#t3a [8] voyageur,#ratp [8] sncf,ratp Top Word Pairs in Tweet in G10:
[48] coronavirus,passer [48] prochains,jours [47] passer,ces [47] ces,prochains [47] jours,imaginez [47] imaginez,toys [47] toys,ces [47] ces,membres [47] membres,gvt [47] gvt,longueur Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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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:
Top Mentioned in G2:
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Top Mentioned in G5:
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Top Mentioned in G7:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: