The graph represents a network of 3,650 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 Sunday, 01 March 2020 at 10:24 UTC.
The requested start date was Sunday, 01 March 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 3-day, 0-hour, 26-minute period from Thursday, 27 February 2020 at 00:29 UTC to Sunday, 01 March 2020 at 00:55 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 : 3650
Unique Edges : 6208
Edges With Duplicates : 868
Total Edges : 7076
Number of Edge Types : 4
MentionsInRetweet : 6007
Replies to : 139
Mentions : 491
Tweet : 439
Self-Loops : 439
Reciprocated Vertex Pair Ratio : 0.00386535674021582
Reciprocated Edge Ratio : 0.00770094657468314
Connected Components : 170
Single-Vertex Connected Components : 105
Maximum Vertices in a Connected Component : 3385
Maximum Edges in a Connected Component : 6806
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.308846
Graph Density : 0.000467983346910582
Modularity : 0.637841
NodeXL Version : 1.0.1.426
Data Import : The graph represents a network of 3,650 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 Sunday, 01 March 2020 at 10:24 UTC.
The requested start date was Sunday, 01 March 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 3-day, 0-hour, 26-minute period from Thursday, 27 February 2020 at 00:29 UTC to Sunday, 01 March 2020 at 00:55 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 : 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:
[287] système,retraites [286] macron,veut [286] veut,casser [286] casser,système [286] retraites,armées [286] armées,ruiner [286] ruiner,méritocratie [286] méritocratie,républicaine [286] républicaine,donnant [286] donnant,pension Top Word Pairs in Tweet in G1:
[120] info,#reformeretraites [119] alerte,info [117] circonscripti18,alerte [110] #reformeretraites,pleine [110] pleine,assembleenat [110] assembleenat,députée [110] députée,larem_an [110] larem_an,adresse [110] adresse,branlette [110] branlette,sa Top Word Pairs in Tweet in G2:
[202] macron,veut [202] veut,casser [202] casser,système [202] système,retraites [202] retraites,armées [202] armées,ruiner [202] ruiner,méritocratie [202] méritocratie,républicaine [202] républicaine,donnant [202] donnant,pension Top Word Pairs in Tweet in G3:
[193] ce,qu [191] expliquez,peu [191] peu,#macron [191] #macron,comment [191] comment,fait [191] fait,reculer [191] reculer,face [191] face,#mobilisation [191] #mobilisation,ce [191] qu,#déchire Top Word Pairs in Tweet in G4:
[99] #acte68,#giletsjaunes [99] samedi,29 [99] 29,février [98] février,2020 [98] #giletsjaunes,#yellowvests [98] #yellowvests,#france [98] #france,#reformeretraites [58] 2020,#acte68 [43] #marseille,gens [43] gens,commencent Top Word Pairs in Tweet in G5:
[111] devant,l'assemblée [111] l'assemblée,nationale [110] rassemblement,devant [110] nationale,suite [110] suite,l'annonce [110] l'annonce,d'édouard [110] d'édouard,philippe [110] philippe,#49 [110] #49,#réformeretraites [110] #réformeretraites,#grèvegénérale Top Word Pairs in Tweet in G6:
[156] #macron,même [156] même,#italie [156] #italie,notre [156] notre,président [156] président,échappe [156] échappe,#macronie [156] #macronie,#covid2019 [156] #covid2019,#politique [155] loran076,#macron [155] #politique,#france Top Word Pairs in Tweet in G7:
[132] contre,49 [106] camion,police [106] police,fuient [106] fuient,face [106] face,pression [106] pression,manifestants [106] manifestants,manifestation [106] manifestation,contre [106] 49,#reformeretraite [105] taoualitamar,camion Top Word Pairs in Tweet in G8:
[145] question,retraites [145] retraites,gouvernement [145] gouvernement,déclenche [145] déclenche,49 [145] 49,soutenez [145] soutenez,gouvernement [145] gouvernement,votre [145] votre,avis [145] avis,détail [144] gaetanescorbiac,question Top Word Pairs in Tweet in G9:
[83] #49al3,#reformesdesretraites [67] ça,s'apparente [67] s'apparente,coup [67] coup,d'etat [67] d'etat,gérard [67] gérard,filoche [67] filoche,indigné [67] indigné,par [67] par,49 [67] 49,gerardfiloche Top Word Pairs in Tweet in G10:
[63] amendement,dernière [63] dernière,minute [63] minute,gouvernementfr [63] gouvernementfr,finance [63] finance,sa [63] sa,réforme [63] réforme,pourrie [63] pourrie,l'argent [63] l'argent,avocats [63] avocats,mais Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: