The graph represents a network of 3,496 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 Monday, 17 February 2020 at 09:07 UTC.
The requested start date was Monday, 17 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 3-day, 21-hour, 18-minute period from Tuesday, 11 February 2020 at 14:58 UTC to Saturday, 15 February 2020 at 12:16 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 : 3496
Unique Edges : 5830
Edges With Duplicates : 1315
Total Edges : 7145
Number of Edge Types : 4
MentionsInRetweet : 6020
Tweet : 468
Replies to : 133
Mentions : 524
Self-Loops : 468
Reciprocated Vertex Pair Ratio : 0.00633016824920873
Reciprocated Edge Ratio : 0.0125806985598411
Connected Components : 168
Single-Vertex Connected Components : 96
Maximum Vertices in a Connected Component : 3192
Maximum Edges in a Connected Component : 6802
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.539016
Graph Density : 0.000494413398676763
Modularity : 0.663572
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 3,496 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 Monday, 17 February 2020 at 09:07 UTC.
The requested start date was Monday, 17 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 3-day, 21-hour, 18-minute period from Tuesday, 11 February 2020 at 14:58 UTC to Saturday, 15 February 2020 at 12:16 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:
[207] aux,flambeaux [203] marche,aux [183] #greve13fevrier,#reformeretraites [181] flambeaux,#montpellier [181] #montpellier,#greve13fevrier [178] lfb_jules,marche [165] porter,plainte [163] ce,soir [162] plainte,violences [162] violences,aggravées Top Word Pairs in Tweet in G1:
[95] #avocatsencolere,#avocats [95] #avocats,entonnent [95] entonnent,hymne [95] hymne,là [95] là,même [95] même,#belloubet [95] #belloubet,veut [94] loran076,#avocatsencolere [94] veut,là [91] #retraites,durcissement Top Word Pairs in Tweet in G2:
[102] ordreavocats87,#reformeretraites [67] #reformeretraites,opération [67] opération,aime [67] aime,ma [67] ma,justice [61] bâtonniers,reçus [54] grève,dure [52] 100,bâtonniers [52] reçus,#assembleenationale [52] #assembleenationale,lâcherons Top Word Pairs in Tweet in G3:
[91] porter,plainte [91] plainte,violences [91] violences,aggravées [91] aggravées,par [90] jeune,interpelé [90] interpelé,violemment [90] violemment,#bordeaux [90] #bordeaux,porter [90] par,dépositaire [89] cerveauxnon,jeune Top Word Pairs in Tweet in G4:
[50] 02,20 [50] educationfrance,depuis [50] depuis,88 [48] 20,#gen66 [40] mediascontrole,#reformeretraites [39] 88,aucune [38] #gen66,educationfrance [35] contre,#reformeretraites [35] l'éditorialiste,france [35] france,inter Top Word Pairs in Tweet in G5:
[110] petit,fils [110] fils,d'ambroise [110] d'ambroise,croizat [101] pierre,caillaud [101] caillaud,croizat [101] croizat,petit [101] croizat,explique [101] explique,pourquoi [100] pourquoi,cette [100] debatretraites,pierre Top Word Pairs in Tweet in G6:
[70] aux,français [39] rien,serait [39] serait,pire [39] pire,laisser [39] laisser,croire [39] croire,aux [39] français,éléments [39] éléments,livrés [39] livrés,représentation [39] représentation,nationale Top Word Pairs in Tweet in G7:
[63] #reformeretraites,l'autocrate [63] l'autocrate,#macron [63] #macron,prêt [63] prêt,utiliser [63] utiliser,49 [63] 49,malgré [63] malgré,craintes [63] craintes,d' [63] d',édouard [63] édouard,#philippe Top Word Pairs in Tweet in G8:
[135] marche,aux [135] aux,flambeaux [126] flambeaux,#montpellier [126] #montpellier,#greve13fevrier [126] #greve13fevrier,#reformeretraites [125] lfb_jules,marche [14] torchlight,protest [14] protest,marches [14] marches,against [14] against,neoliberal Top Word Pairs in Tweet in G9:
[115] cause,macron [114] macron,partout [114] partout,par [114] par,tou [114] tou,depuis [114] depuis,janvier [114] janvier,cortèges [114] cortèges,#acausedemacron [114] #acausedemacron,essaiment [114] essaiment,partout Top Word Pairs in Tweet in G10:
[46] 67,français [45] #reformeretraites,67 [45] français,favorables [45] favorables,référendum [44] #maltraitez,#avocats [44] #avocats,comme [44] comme,maltraitez [44] maltraitez,#français [44] #français,déplore [44] déplore,vatinpierre 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 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:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: