The graph represents a network of 299 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 8/1/2023 3:55:58 PM and 9/13/2023 3:55:58 PM. The network was obtained from Twitter on Wednesday, 13 September 2023 at 13:58 UTC.
The tweets in the network were tweeted over the 40-day, 22-hour, 51-minute period from Thursday, 03 August 2023 at 17:06 UTC to Wednesday, 13 September 2023 at 15:58 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 : 299
Unique Edges : 340
Edges With Duplicates : 707
Total Edges : 1047
Number of Edge Types : 8
Replies to : 64
Mentions : 541
MentionsInQuote : 20
MentionsInReplyTo : 222
Quote : 11
Retweet : 68
MentionsInRetweet : 72
Tweet : 49
Self-Loops : 53
Reciprocated Vertex Pair Ratio : 0.0213675213675214
Reciprocated Edge Ratio : 0.0418410041841004
Connected Components : 6
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 294
Maximum Edges in a Connected Component : 1037
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.981849
Graph Density : 0.00536463827972436
Modularity : 0.327623
NodeXL Version : 1.0.1.521
Data Import : The graph represents a network of 299 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 8/1/2023 3:55:58 PM and 9/13/2023 3:55:58 PM. The network was obtained from Twitter on Wednesday, 13 September 2023 at 13:58 UTC.
The tweets in the network were tweeted over the 40-day, 22-hour, 51-minute period from Thursday, 03 August 2023 at 17:06 UTC to Wednesday, 13 September 2023 at 15:58 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:
[60] cocan,2023 [28] match,côte [27] san,pedro [25] voici,plan [22] côte,d'ivoire [17] mobilité,urbaine [16] article,lire [16] cadre,match [16] urbaine,prévu [16] réaménagement,mobilité Top Word Pairs in Tweet in G1:
[15] cocan_2023,recrute [12] n'attendez,plus [12] lien,ci [12] plus,rendez [11] l'organisation,can2023off [11] can2023off,#civ225 [10] échange,contrat [10] aucune,somme [10] rendez,lien [10] argent,échange Top Word Pairs in Tweet in G2:
[46] cocan,2023 [28] match,côte [25] voici,plan [25] san,pedro [20] côte,d'ivoire [17] mobilité,urbaine [16] ville,san [16] cadre,match [16] urbaine,prévu [16] pedro,cadre Top Word Pairs in Tweet in G3:
[9] cocan_2023,gouvci [6] achipatrick4,gouvci [5] cocan_2023,achipatrick4 [4] drhdp,drnoumory [4] achipatrick4,drhdp [4] aouattara_prci,achipatrick4 [4] trakouassi,cocan_2023 [4] gouvci,aouattara_prci [4] ministre,sports [3] gouvci,lksportif Top Word Pairs in Tweet in G4:
[2] madiwvaranejr,vendeurdegarba_ [2] fifci_tweet,didierdrogba [2] lefilsduporo,fifacom_fr [2] rfiafrique,france24 [2] vendeurdegarba_,fifci_tweet [2] luca_varan,madiwvaranejr [2] fifacom_fr,rfiafrique [2] didierdrogba,lefilsduporo Top Word Pairs in Tweet in G5:
[16] article,lire [14] éliminatoires,2023 [14] travers,ce [14] lire,travers [13] ce,lien [13] minsport_loisir,francois_kabulo [12] caf_online,cocan_2023 [11] cocan_2023,fecofardc [9] lien,caf_online [5] francois_kabulo,jenovicmbowa1 Top Word Pairs in Tweet in G6:
[3] fifci_tweet,cocan_2023 [3] #civ,#civ225 [3] ce,passe [2] pelouse,stado [2] msl_ci,cocan_2023 [2] cocan_2023,fifci_tweet [2] cocan,2023 [2] hdrewxxl,msl_ci [2] didier,drogba [2] ons,primatureci Top Word Pairs in Tweet in G7:
[8] cocan,2023 [2] cocan_2023,cocan Top Word Pairs in Tweet in G8:
[2] paulin,voleur [2] conseil,ministres [2] que'au,conseil [2] même,c'est [2] parle,paulin [2] qu'ils,parle [2] sûr,qu'ils [2] c'est,que'au [2] chie,même [2] ce,n'est Top Word Pairs in Tweet in G10:
[6] #cocan2023,#civ225 [5] janvier,2024 [4] rdv,janvier [4] stade,laurent [4] l'hospitalité,réalité [4] san,pédro [4] pokou,san [4] janvier,2023 [4] laurent,pokou [3] réalité,rdv Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: