The graph represents a network of 218 Twitter users whose recent tweets contained "COCAN_2023", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 10,000 tweets, tweeted between 9/1/2023 6:10:10 PM and 9/14/2023 6:10:10 PM. The network was obtained from Twitter on Thursday, 14 September 2023 at 16:10 UTC.
The tweets in the network were tweeted over the 17-day, 23-hour, 43-minute period from Sunday, 27 August 2023 at 18:27 UTC to Thursday, 14 September 2023 at 18:10 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 : 218
Unique Edges : 291
Edges With Duplicates : 330
Total Edges : 621
Number of Edge Types : 8
Retweet : 70
Mentions : 255
Replies to : 36
MentionsInReplyTo : 125
MentionsInRetweet : 78
MentionsInQuote : 21
Quote : 12
Tweet : 24
Self-Loops : 28
Reciprocated Vertex Pair Ratio : 0.0220994475138122
Reciprocated Edge Ratio : 0.0432432432432432
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 215
Maximum Edges in a Connected Component : 618
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 3.081109
Graph Density : 0.00782141800194478
Modularity : 0.424705
NodeXL Version : 1.0.1.521
Data Import : The graph represents a network of 218 Twitter users whose recent tweets contained "COCAN_2023", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 10,000 tweets, tweeted between 9/1/2023 6:10:10 PM and 9/14/2023 6:10:10 PM. The network was obtained from Twitter on Thursday, 14 September 2023 at 16:10 UTC.
The tweets in the network were tweeted over the 17-day, 23-hour, 43-minute period from Sunday, 27 August 2023 at 18:27 UTC to Thursday, 14 September 2023 at 18:10 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_2023
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[38] cocan,2023 [29] match,côte [28] san,pedro [26] voici,plan [23] j'ai,honte [19] côte,d'ivoire [18] mobilité,urbaine [17] ville,san [17] cadre,match [17] urbaine,prévu Top Word Pairs in Tweet in G1:
[12] cocan_2023,recrute [9] n'attendez,plus [9] lien,ci [9] can2023off,#civ225 [9] plus,rendez [8] infoscan2023,cocan_2023 [8] l'organisation,can2023off [7] rendez,lien [6] échange,contrat [6] ci,réalisons Top Word Pairs in Tweet in G2:
[29] match,côte [26] voici,plan [26] cocan,2023 [25] san,pedro [19] côte,d'ivoire [18] mobilité,urbaine [17] ville,san [17] urbaine,prévu [17] pedro,cadre [17] plan,réaménagement Top Word Pairs in Tweet in G3:
[11] caf_online,cocan_2023 [11] lire,travers [11] travers,ce [11] article,lire [10] ce,lien [10] minsport_loisir,francois_kabulo [10] éliminatoires,2023 [9] cocan_2023,fecofardc [8] lien,caf_online [5] cocan,2023 Top Word Pairs in Tweet in G4:
[23] j'ai,honte [16] honte,comme [9] comme,c'était [9] président,cocan_2023 [9] cocan_2023,gouvci [7] comme,j'étais [7] c'était,ministre [7] depuis,j'ai [7] cocan_2023,j'ai [7] honte,j'ai Top Word Pairs in Tweet in G5:
[3] didierdrogba,lefilsduporo [3] vendeurdegarba_,fifci_tweet [3] madiwvaranejr,vendeurdegarba_ [3] fifci_tweet,didierdrogba [3] luca_varan,madiwvaranejr [3] rfiafrique,france24 [3] fifacom_fr,rfiafrique [3] lefilsduporo,fifacom_fr [2] prom_ivoire,fifci_tweet [2] fifci_tweet,cocan_2023 Top Word Pairs in Tweet in G6:
[2] arthurbanga,cocan_2023 [2] l'avais,signifié [2] signifié,lors [2] vs,comores [2] civ,vs [2] lors,match [2] comores,bouaké [2] aura,tous [2] attention,aura [2] bouaké,fait Top Word Pairs in Tweet in G7:
[4] #civ,#civ225 [3] pelouse,stado [3] ce,passe Top Word Pairs in Tweet in G8:
[2] conseil,ministres [2] paulin,voleur [2] que'au,conseil [2] même,c'est [2] parle,paulin [2] qu'ils,parle [2] c'est,que'au [2] sûr,qu'ils [2] chie,même [2] ce,n'est Top Word Pairs in Tweet in G9:
[2] ons,primatureci [2] cocan_2023,ons [2] hdrewxxl,msl_ci [2] msl_ci,cocan_2023 Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: