The graph represents a network of 3,541 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 Saturday, 29 February 2020 at 10:41 UTC.
The requested start date was Saturday, 29 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 2-day, 20-hour, 15-minute period from Wednesday, 26 February 2020 at 04:09 UTC to Saturday, 29 February 2020 at 00:25 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 : 3541
Unique Edges : 7697
Edges With Duplicates : 1167
Total Edges : 8864
Number of Edge Types : 4
MentionsInRetweet : 7978
Tweet : 301
Mentions : 445
Replies to : 140
Self-Loops : 301
Reciprocated Vertex Pair Ratio : 0.0031561671506123
Reciprocated Edge Ratio : 0.00629247420085578
Connected Components : 106
Single-Vertex Connected Components : 54
Maximum Vertices in a Connected Component : 3316
Maximum Edges in a Connected Component : 8625
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.946492
Graph Density : 0.000633897985981808
Modularity : 0.608749
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 3,541 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 Saturday, 29 February 2020 at 10:41 UTC.
The requested start date was Saturday, 29 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 2-day, 20-hour, 15-minute period from Wednesday, 26 February 2020 at 04:09 UTC to Saturday, 29 February 2020 at 00:25 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:
[554] amendement,dernière [554] dernière,minute [554] minute,gouvernementfr [554] gouvernementfr,finance [554] finance,sa [554] sa,réforme [554] réforme,pourrie [554] pourrie,l'argent [554] l'argent,avocats [554] avocats,mais Top Word Pairs in Tweet in G1:
[459] amendement,dernière [459] dernière,minute [459] minute,gouvernementfr [459] gouvernementfr,finance [459] finance,sa [459] sa,réforme [459] réforme,pourrie [459] pourrie,l'argent [459] l'argent,avocats [459] avocats,mais Top Word Pairs in Tweet in G2:
[230] expliquez,peu [230] peu,#macron [230] #macron,comment [230] comment,fait [230] fait,reculer [230] reculer,face [230] face,#mobilisation [230] #mobilisation,ce [230] ce,qu [230] qu,#déchire Top Word Pairs in Tweet in G3:
[125] alerte,info [125] info,#reformeretraites [125] #reformeretraites,pleine [125] pleine,assembleenat [125] assembleenat,députée [125] députée,larem_an [125] larem_an,adresse [125] adresse,branlette [125] branlette,sa [124] circonscripti18,alerte Top Word Pairs in Tweet in G4:
[215] masse,suis [215] suis,communiste [215] communiste,mais [215] mais,fabien_rssl [215] fabien_rssl,recadre [215] recadre,bien [215] bien,débat [215] débat,assembleenat [215] assembleenat,senat [215] senat,thierrymariani Top Word Pairs in Tweet in G5:
[129] macron,veut [129] veut,casser [129] casser,système [129] système,retraites [129] retraites,armées [129] armées,ruiner [129] ruiner,méritocratie [129] méritocratie,républicaine [129] républicaine,donnant [129] donnant,pension Top Word Pairs in Tweet in G6:
[89] #reformeretraites,#giletsjaunes [69] #avocatsencolere,#reformeretraites [55] nilsvay,nrenard75 [54] nrenard75,cmelysee [52] #violencespolicieres,seule [52] seule,réponse [52] réponse,#macron [52] #macron,face [52] face,colère [52] colère,sociale Top Word Pairs in Tweet in G7:
[139] #macron,même [139] même,#italie [139] #italie,notre [139] notre,président [139] président,échappe [139] échappe,#macronie [139] #macronie,#covid2019 [139] #covid2019,#politique [138] loran076,#macron [138] #politique,#france Top Word Pairs in Tweet in G8:
[144] l'assemblée,nationale [143] 49,utilisé [143] utilisé,manifestons [143] manifestons,soir [143] soir,même [143] même,devant [143] devant,l'assemblée [143] nationale,partout [143] partout,france [143] france,préparez Top Word Pairs in Tweet in G9:
[115] #jacquesmaire,député [115] co,rapporteur [115] rapporteur,#réformeretraites [115] #réformeretraites,co [115] co,signataire [101] #enmarche,#retraites [101] #retraites,#macron [101] #macron,ℹ [101] ℹ,#jacquesmaire [101] député,#lrem Top Word Pairs in Tweet in G10:
[41] avons,proposé [41] proposé,référendum [41] référendum,l'avez [41] l'avez,refusé [41] refusé,notre [41] notre,opposition [41] opposition,constructive [41] constructive,relaie [41] relaie,réactions [40] alain_bruneel,avons Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: