The graph represents a network of 3,551 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, 27 February 2020 at 09:13 UTC.
The requested start date was Thursday, 27 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, 8-hour, 57-minute period from Tuesday, 25 February 2020 at 15:32 UTC to Thursday, 27 February 2020 at 00:29 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 : 3551
Unique Edges : 8235
Edges With Duplicates : 1289
Total Edges : 9524
Number of Edge Types : 4
MentionsInRetweet : 8664
Tweet : 328
Mentions : 407
Replies to : 125
Self-Loops : 328
Reciprocated Vertex Pair Ratio : 0.00223660977045321
Reciprocated Edge Ratio : 0.00446323702137656
Connected Components : 136
Single-Vertex Connected Components : 78
Maximum Vertices in a Connected Component : 3234
Maximum Edges in a Connected Component : 9151
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.777179
Graph Density : 0.000675389991313695
Modularity : 0.580302
NodeXL Version : 1.0.1.425
Data Import : The graph represents a network of 3,551 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, 27 February 2020 at 09:13 UTC.
The requested start date was Thursday, 27 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, 8-hour, 57-minute period from Tuesday, 25 February 2020 at 15:32 UTC to Thursday, 27 February 2020 at 00:29 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:
[955] amendement,dernière [955] dernière,minute [955] minute,gouvernementfr [955] gouvernementfr,finance [955] finance,sa [955] sa,réforme [955] réforme,pourrie [954] pourrie,l'argent [954] l'argent,avocats [952] avocats,mais Top Word Pairs in Tweet in G1:
[753] amendement,dernière [753] dernière,minute [753] minute,gouvernementfr [753] gouvernementfr,finance [753] finance,sa [753] sa,réforme [753] réforme,pourrie [752] pourrie,l'argent [752] l'argent,avocats [750] avocats,mais Top Word Pairs in Tweet in G2:
[313] masse,suis [313] suis,communiste [313] communiste,mais [313] mais,fabien_rssl [313] fabien_rssl,recadre [313] recadre,bien [313] bien,débat [313] débat,assembleenat [313] assembleenat,senat [312] tauriacc,masse Top Word Pairs in Tweet in G3:
[202] pourquoi,procédure [202] procédure,accélérée [202] accélérée,pourquoi [202] pourquoi,faut [200] #rapporteur,#pitre [200] #pitre,normalement [200] normalement,pourquoi [199] lorentzmathias,#rapporteur [199] faut,absol [156] co,rapporteur Top Word Pairs in Tweet in G4:
[95] co,rapporteur [72] rapporteur,#reformeretraites [70] encore,conflit [70] conflit,d'intérêt [70] d'intérêt,rapporteur [70] #reformeretraites,#jacquesmaire [70] #jacquesmaire,n'avez [70] n'avez,honte [70] honte,ephilippepm [69] louisettehubert,encore Top Word Pairs in Tweet in G5:
[135] 49,utilisé [135] utilisé,manifestons [135] manifestons,soir [135] soir,même [135] même,devant [135] devant,l'assemblée [135] l'assemblée,nationale [135] nationale,partout [135] partout,france [135] france,préparez Top Word Pairs in Tweet in G6:
[68] nrenard75,cmelysee [38] obstruction,atteinte [31] atteinte,procédure [31] procédure,parlementaire [31] parlementaire,mais [31] mais,contrer [31] contrer,grâce [31] grâce,49 [31] 49,atteinte [29] jphderosier,obstruction Top Word Pairs in Tweet in G7:
[87] rapporteur,projet [87] projet,loi [87] loi,#reformeretraites [87] #reformeretraites,plein [87] plein,pétage [87] pétage,plomb [87] plomb,explique [87] explique,pourquoi [87] pourquoi,ils [87] ils,ont Top Word Pairs in Tweet in G8:
[8] réforme,retraites [7] #retraites,#retraite [6] #reformeretraites,#reformeretraite [6] #reformedesretraites,#reformeretraites [5] #reformesdesretraites,#reformedesretraites [5] #reformeretraite,#retraites [3] comme,ça [3] menteuse,menteuse [3] emmanuel,macron [2] #lrem,#reformeretraites Top Word Pairs in Tweet in G9:
[14] échanges,christiane [14] christiane,lambert [14] lambert,présidente [14] présidente,#fnsea [14] #fnsea,#reformeretraites [14] #reformeretraites,impactera [14] impactera,fortement [13] partisocialiste,échanges [13] fortement,agriculteurs [9] #8mars,journée Top Word Pairs in Tweet in G10:
[54] #reformeretraites,#parlement [54] #parlement,comment [54] comment,peut [54] peut,prétendre [54] prétendre,respecter [54] respecter,démocratie [54] démocratie,quand [54] quand,dépose [54] dépose,40 [54] 40,000 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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:
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Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: