The graph represents a network of 3,916 Twitter users whose tweets in the requested range contained "#reformeretraites", 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 08:12 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 4-day, 1-hour, 5-minute period from Saturday, 07 March 2020 at 22:46 UTC to Wednesday, 11 March 2020 at 23:51 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 : 3916
Unique Edges : 6767
Edges With Duplicates : 572
Total Edges : 7339
Number of Edge Types : 4
MentionsInRetweet : 6569
Tweet : 415
Mentions : 242
Replies to : 113
Self-Loops : 415
Reciprocated Vertex Pair Ratio : 0.000896726946644747
Reciprocated Edge Ratio : 0.0017918470957145
Connected Components : 160
Single-Vertex Connected Components : 89
Maximum Vertices in a Connected Component : 3593
Maximum Edges in a Connected Component : 6985
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.904527
Graph Density : 0.000436823354297202
Modularity : 0.594404
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 3,916 Twitter users whose tweets in the requested range contained "#reformeretraites", 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 08:12 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 4-day, 1-hour, 5-minute period from Saturday, 07 March 2020 at 22:46 UTC to Wednesday, 11 March 2020 at 23:51 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 : #reformeretraites
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:
[1593] passer,coup [1590] notre,gouvernementfr [1589] #krach,boursier [1589] faire,passer [1588] alors,#krach [1588] boursier,menace [1588] menace,souvenons [1588] souvenons,bien [1588] bien,notre [1588] gouvernementfr,vient Top Word Pairs in Tweet in G1:
[1241] notre,gouvernementfr [1239] alors,#krach [1239] #krach,boursier [1239] boursier,menace [1239] menace,souvenons [1239] souvenons,bien [1239] bien,notre [1239] gouvernementfr,vient [1239] vient,faire [1239] faire,passer Top Word Pairs in Tweet in G2:
[84] #giletsjaunes,#14marstousunis [77] #14marstousunis,#49al3 [76] #49al3,#toulouse [73] jets,œufs [73] œufs,contre [73] contre,#lacrymogènes [73] #lacrymogènes,meeting [73] meeting,5mars [73] 5mars,d'#ephilippe [73] d'#ephilippe,#havre Top Word Pairs in Tweet in G3:
[69] mauvais,karma [69] karma,jacques [69] jacques,maire [69] maire,rapporteur [69] rapporteur,#reformeretraites [69] #reformeretraites,puisque [69] puisque,ses [69] ses,actions [69] actions,#axa [69] #axa,valent Top Word Pairs in Tweet in G4:
[255] #giletsjaunes,#14marstousunis [252] #grevegenerale,#reformeretraites [250] mets,ça [250] #14marstousunis,#grevegenerale [246] #reformeretraites,#acte69 [245] ça,là [245] là,#giletsjaunes [245] #acte69,#lallementdemission [244] naphtalinelebon,mets [244] #lallementdemission,ht Top Word Pairs in Tweet in G5:
[206] #lallement,chaque [206] chaque,fois [206] fois,#melenchon [206] #melenchon,alerte [206] alerte,ça [206] ça,finit [206] finit,par [206] par,être [206] être,vrai [206] vrai,mais Top Word Pairs in Tweet in G6:
[27] #giletsjaunes,#reformeretraites [23] #reformeretraites,femmes [21] arrêtez,baratiner [21] baratiner,pietraszewski_l [21] pietraszewski_l,c'est [21] c'est,indigne [21] indigne,honteux [21] honteux,scélérate [21] scélérate,#reformeretraites [20] louisettehubert,arrêtez Top Word Pairs in Tweet in G7:
[204] toute,chose [204] chose,malheur [204] malheur,bon [204] bon,#krach [204] #krach,#cac40 [204] #cac40,#covid2019 [204] #covid2019,#covid19 [204] #covid19,#covid2019 [204] #covid2019,#covidー19 [204] #covidー19,#coronavirus Top Word Pairs in Tweet in G8:
[120] laisserons,duper [120] duper,par [120] par,petit [120] petit,nombre [120] nombre,celles [120] celles,profitent [120] profitent,journée [120] journée,#femmes [119] noellelenoir,laisserons [119] #femmes,#8mars2020 Top Word Pairs in Tweet in G9:
[75] rdv,gilets [75] gilets,jaunes [75] jaunes,citoyens [75] citoyens,colère [75] colère,ce [75] ce,samedi [75] samedi,14 [75] 14,mars [75] mars,champs [75] champs,elysées Top Word Pairs in Tweet in G10:
[71] avocats,concluent [71] concluent,#relaispourlajustice [71] #relaispourlajustice,étant [71] étant,accueillis [71] accueillis,par [71] par,musiciens [71] musiciens,opéra [71] opéra,paris [71] paris,tous [71] tous,sont Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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 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:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: