The graph represents a network of 985 Twitter users whose recent tweets contained "#velotaf", 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 Thursday, 26 December 2019 at 19:52 UTC.
The tweets in the network were tweeted over the 8-day, 4-hour, 15-minute period from Wednesday, 18 December 2019 at 14:39 UTC to Thursday, 26 December 2019 at 18:55 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 : 998
Unique Edges : 1268
Edges With Duplicates : 552
Total Edges : 1820
Number of Edge Types : 5
Mentions : 457
Replies to : 167
Retweet : 418
Tweet : 429
MentionsInRetweet : 349
Self-Loops : 432
Reciprocated Vertex Pair Ratio : 0,0217391304347826
Reciprocated Edge Ratio : 0,0425531914893617
Connected Components : 188
Single-Vertex Connected Components : 110
Maximum Vertices in a Connected Component : 640
Maximum Edges in a Connected Component : 1298
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5,351007
Graph Density : 0,00118089740162371
Modularity : 0,633575
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 985 Twitter users whose recent tweets contained "#velotaf", 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 Thursday, 26 December 2019 at 19:52 UTC.
The tweets in the network were tweeted over the 8-day, 4-hour, 15-minute period from Wednesday, 18 December 2019 at 14:39 UTC to Thursday, 26 December 2019 at 18:55 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 : #velotaf
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:
[122] #velo,#velotaf [114] #solutionvelo,#velotaf [98] #velotaf,#velut [80] #velotaf,#pollution [79] heures,avant [79] avant,#paris [79] #paris,devienne [79] devienne,capitale [79] capitale,mondiale [79] mondiale,#vélo Top Word Pairs in Tweet in G1:
[13] ce,matin [9] #surmaroute,#velotaf [8] piste,cyclable [6] trajet,#velotaf [6] mon,trajet [4] pistes,cyclables [4] #velotaf,#velo [4] ce,n'est [4] par,contre [3] #velotaf,j'ai Top Word Pairs in Tweet in G2:
[64] #velotaf,#velut [56] #velo,#velotaf [38] 10km,long [38] long,seine [38] seine,relier [38] relier,pont [38] pont,mirabeau [38] mirabeau,ivry [38] ivry,#velo [18] piste,cyclable Top Word Pairs in Tweet in G3:
[25] #velo,#velotaf [23] ces,gens [23] gens,droite [23] droite,convertis [23] convertis,vélo [23] vélo,hidalgo [23] hidalgo,lepoint [22] bicyclette,droite [22] droite,gauche [22] gauche,écologiste Top Word Pairs in Tweet in G4:
[14] #velotaf,#crevard [14] #crevard,#gougnafier [12] #velotaf,#paris [9] dites,philippe_goujon [9] philippe_goujon,mairie15 [9] mairie15,c_najdovski [9] c_najdovski,bon [9] bon,vanter [9] vanter,avoir [9] avoir,pistes Top Word Pairs in Tweet in G5:
[10] #velo,#velotaf [9] depuis,85 [9] 85,ans [9] ans,aucun [9] aucun,projet [9] projet,transports [9] transports,n'a [9] n'a,vu [9] vu,jour [9] jour,#petiteceinture Top Word Pairs in Tweet in G6:
[24] air,rien [24] rien,ça [24] ça,change [24] change,tout [24] tout,#faitesdespistes [24] #faitesdespistes,#concorde [24] #concorde,#reve [24] #reve,#velotaf [9] #solutionvelo,#velotaf [7] #velotaf,#velut Top Word Pairs in Tweet in G7:
[79] heures,avant [79] avant,#paris [79] #paris,devienne [79] devienne,capitale [79] capitale,mondiale [79] mondiale,#vélo [79] #vélo,#solutionvelo [79] #solutionvelo,#velotaf [79] #velotaf,#pollution [49] plus,jours Top Word Pairs in Tweet in G8:
[23] mois,#velotaf [23] #velotaf,viens [23] viens,acheter [23] acheter,porte [23] porte,bagage [23] bagage,avant [23] avant,mon [23] mon,vélo [23] vélo,voyais [23] voyais,doigts Top Word Pairs in Tweet in G9:
[15] #solutionvelo,#velotaf [10] déplacement,vélo [10] vélo,france [10] france,merci [10] merci,aweywada [10] aweywada,geovelofr [10] geovelofr,réponses [10] réponses,#greves [10] #greves,#leretourduvelo [10] #leretourduvelo,#solutionvelo Top Word Pairs in Tweet in G10:
[10] volé,biporteur [10] biporteur,urban [10] urban,arrow [10] arrow,family [10] family,ce [10] ce,mardi [10] mardi,17 [10] 17,décembre [10] décembre,12h15 [10] 12h15,14h50 Top Replied-To in Entire Graph:
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 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: