The graph represents a network of 544 Twitter users whose recent tweets contained "cocan", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 2,000 tweets, tweeted between 11/22/2023 12:00:00 AM and 11/29/2023 9:51:48 AM. The network was obtained from Twitter on Wednesday, 29 November 2023 at 18:07 UTC.
The tweets in the network were tweeted over the 168-day, 2-hour, 56-minute period from Wednesday, 14 June 2023 at 14:24 UTC to Wednesday, 29 November 2023 at 17:20 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 544
Unique Edges : 681
Edges With Duplicates : 427
Total Edges : 1108
Number of Edge Types : 8
Retweet : 392
Replies to : 213
Tweet : 124
MentionsInReplyTo : 206
MentionsInRetweet : 52
Mentions : 63
MentionsInQuote : 27
Quote : 31
Self-Loops : 157
Reciprocated Vertex Pair Ratio : 0.0376266280752533
Reciprocated Edge Ratio : 0.0725244072524407
Connected Components : 73
Single-Vertex Connected Components : 29
Maximum Vertices in a Connected Component : 335
Maximum Edges in a Connected Component : 823
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.145364
Graph Density : 0.0024272830679233
Modularity : 0.479894
NodeXL Version : 1.0.1.526
Data Import : The graph represents a network of 544 Twitter users whose recent tweets contained "cocan", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 2,000 tweets, tweeted between 11/22/2023 12:00:00 AM and 11/29/2023 9:51:48 AM. The network was obtained from Twitter on Wednesday, 29 November 2023 at 18:07 UTC.
The tweets in the network were tweeted over the 168-day, 2-hour, 56-minute period from Wednesday, 14 June 2023 at 14:24 UTC to Wednesday, 29 November 2023 at 17:20 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : cocan
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:
[66] edithbrou,cocan_2023 [49] billetterie,cocan [43] edithbrou,billets [40] département,billetterie [40] chef,département [40] janvier,kouakou [38] kouakou,chef [37] maillot,original [36] #can2023,seront [35] original,cocan Top Word Pairs in Tweet in G1:
[58] edithbrou,cocan_2023 [30] edithbrou,billets [25] #can2023,seront [22] physiques,hospitalité [22] seront,mis [22] boutiques,officielles [22] billets,physiques [22] hospitalité,#can2023 [22] mis,vente [22] vente,abidjan Top Word Pairs in Tweet in G2:
[13] cocan,2023 [11] 2023,#cocan2023 [11] idriss,diallo [10] #akwabatour,#can2023 [10] billetterie,totalement [10] 000,fcfa [10] #cocan2023,#akwabatour [9] novembre,2023 [9] côte,d'ivoire [9] 24,novembre Top Word Pairs in Tweet in G3:
[10] 定価,送料 [8] 交換,譲渡 [6] 求,同種 [6] gt,gt [6] ヒプノシスマイク,ヒプマイ [4] gt,異種 [4] 譲渡,ヒプノシスマイク [4] 送料,代行費 [3] あずき様,rin___922suki [3] 人探し,あずき様 Top Word Pairs in Tweet in G4:
[14] billetterie,cocan [13] janvier,kouakou [13] département,billetterie [13] kouakou,chef [13] chef,département [12] cocan,billets [12] billets,ligne [12] sont,encore [12] ligne,sont [10] épuisés,comme Top Word Pairs in Tweet in G5:
[32] maillot,original [31] original,cocan [30] ai,reçu [30] maillots,traquer [30] mon,maillot [30] tous,ceux [30] avis,tous [30] ceux,celles [30] reçu,mon [30] ont,faux Top Word Pairs in Tweet in G6:
[7] découvre,vidéo [6] mis,place [6] présente,mécanisme [6] mécanisme,mis [5] cocan,présente [4] billetterie,cocan [3] logistique,cocan [3] cocan,rassure [3] département,logistique [2] département,cocan Top Word Pairs in Tweet in G7:
[9] maillots,adjamé [9] dit,cite [9] président,cocan [9] cite,veut [9] stade,ces [9] voir,maillots [9] cocan,dit [9] adjamé,stade [9] ces,mots [9] veut,plus Top Word Pairs in Tweet in G8:
[21] recouvre,pistes [21] pistes,athlétisme [21] petition,cocan [21] athlétisme,stades [21] cocan,recouvre [14] 1rt,signature [14] stades,1rt [13] commeivoir,petition [7] stades,signature [6] lemedia100filtr,petition Top Word Pairs in Tweet in G9:
[2] xpgmexico,ddtechmx [2] pammpann,xpgmexico [2] saicunes,sakuphobia Top Word Pairs in Tweet in G10:
[19] billetterie,cocan [18] #can2023,janvier [18] kouakou,chef [18] janvier,kouakou [18] département,billetterie [18] chef,département [17] billets,ligne [17] ligne,sont [17] sont,encore [17] cocan,billets Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: