The graph represents a network of 586 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 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 9/5/2023 8:07:28 AM. The network was obtained from Twitter on Wednesday, 06 September 2023 at 15:08 UTC.
The tweets in the network were tweeted over the 256-day, 15-hour, 33-minute period from Friday, 23 December 2022 at 16:34 UTC to Wednesday, 06 September 2023 at 08:08 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 : 586
Unique Edges : 841
Edges With Duplicates : 1084
Total Edges : 1925
Number of Edge Types : 9
Mentions : 796
Quote : 31
Tweet : 218
Retweet : 94
MentionsInRetweet : 41
MentionsInQuote : 57
Replies to : 212
MentionsInReplyTo : 455
MentionsInQuoteReply : 21
Self-Loops : 245
Reciprocated Vertex Pair Ratio : 0.0308324768756423
Reciprocated Edge Ratio : 0.0598205383848455
Connected Components : 31
Single-Vertex Connected Components : 28
Maximum Vertices in a Connected Component : 549
Maximum Edges in a Connected Component : 1874
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.065954
Graph Density : 0.0029258189667746
Modularity : 0.367348
NodeXL Version : 1.0.1.521
Data Import : The graph represents a network of 586 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 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 9/5/2023 8:07:28 AM. The network was obtained from Twitter on Wednesday, 06 September 2023 at 15:08 UTC.
The tweets in the network were tweeted over the 256-day, 15-hour, 33-minute period from Friday, 23 December 2022 at 16:34 UTC to Wednesday, 06 September 2023 at 08:08 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[153] cocan,2023 [83] côte,d'ivoire [76] d'afrique,nations [76] coupe,d'afrique [58] autour,cocan [58] sacrée,renforce [58] renforce,autour [58] jours,coupe [58] 136,jours [51] cocan,ce Top Word Pairs in Tweet in G1:
[13] l'organisation,can2023off [11] cocan_2023,recrute [10] participer,l'organisation [10] can2023off,#civ225 [9] infoscan2023,cocan_2023 [8] adjamellais1,africainchef [8] versez,aucune [8] argent,échange [8] somme,argent [8] aucune,somme Top Word Pairs in Tweet in G2:
[80] cocan,2023 [35] côte,d'ivoire [17] 2023,souhaite [17] #cocan2023,#lundienjambe [16] d'ivoire,2023 [16] belkacem_bnl,cocan_2023 [16] #football,#cotedivoire [15] plus,belle [15] #cotedivoire,#can2023 [15] route,l'hospitalité Top Word Pairs in Tweet in G3:
[24] cocan,2023 [18] didier,drogba [17] d'afrique,nations [17] coupe,d'afrique [16] jours,coupe [16] 2023,136 [16] l'union,sacrée [16] drogba,cocan [16] autour,cocan [16] 136,jours Top Word Pairs in Tweet in G4:
[10] programme,volontaires [7] edithbrou,cocan_2023 [6] #can2023,#cocan2023 [6] côte,ivoire [5] cocan,2023 [5] #can2023,#can2024 [5] malick_zen77,proao5 [5] caf_online_fr,cocan_2023 [5] mardi,18 [5] badciss,cocan2023 Top Word Pairs in Tweet in G5:
[36] d'afrique,nations [36] coupe,d'afrique [35] jours,coupe [35] 136,jours [35] autour,cocan [35] renforce,autour [35] sacrée,renforce [34] cocan,ce [32] 30,août [32] août,l'icône Top Word Pairs in Tweet in G6:
[7] côte,d'ivoire [5] cocan_2023,can2023civ [5] route,vers [4] can2023civ,cocan_2023 [4] vers,2023 [3] chess,sets [3] l'afrique,égale [3] 40now,route [3] february,2024 [2] narratif,continent Top Word Pairs in Tweet in G7:
[22] cocan,2023 [11] côte,d'ivoire [6] d'ivoire,2023 [6] #can2023,#can2024 [5] président,cocan [5] côte,ivoire [4] sports,treichville [4] presse,étrangère [4] #cocan2023,#can2023 [4] mardi,18 Top Word Pairs in Tweet in G8:
[4] côte,d'ivoire [4] cocan,2023 [3] côte,ivoire [3] caf_online,cocan_2023 [3] #can2023,cocan_2023 [2] caf_online,afcon [2] cocan_2023,#cocan [2] caf_online,fifci_tweet [2] afcon,23 [2] fifci_tweet,caf_online Top Word Pairs in Tweet in G9:
[10] article,lire [7] lire,travers [7] ce,lien [7] travers,ce [7] éliminatoires,2023 [6] caf_online,cocan_2023 [6] minsport_loisir,francois_kabulo [6] cocan_2023,fecofardc [4] lien,caf_online [4] kinshasa,article Top Word Pairs in Tweet in G10:
[6] 30,août [5] courtoisie,auprès [5] août,didierdrogba [5] auprès,ministre [5] didierdrogba,l'icône [5] nationale,effectué [5] l'icône,nationale [5] mercredi,30 [5] effectué,visite [5] visite,courtoisie Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 G8:
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 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: