The graph represents a network of 11 025 Twitter users whose recent tweets contained "#kenya", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Wednesday, 11 August 2021 at 13:30 UTC.
The tweets in the network were tweeted over the 8-day, 4-hour, 32-minute period from Tuesday, 03 August 2021 at 07:29 UTC to Wednesday, 11 August 2021 at 12:01 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 Fruchterman-Reingold layout algorithm.
Author Description
Vertices : 11025
Unique Edges : 20934
Edges With Duplicates : 8809
Total Edges : 29743
Number of Edge Types : 5
Retweet : 9214
MentionsInRetweet : 10949
Mentions : 4180
Replies to : 970
Tweet : 4430
Self-Loops : 4662
Reciprocated Vertex Pair Ratio : 0,0133358734997142
Reciprocated Edge Ratio : 0,0263207369806355
Connected Components : 1904
Single-Vertex Connected Components : 1177
Maximum Vertices in a Connected Component : 7207
Maximum Edges in a Connected Component : 24027
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5,900957
Graph Density : 0,000175054056455674
Modularity : 0,660645
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 11 025 Twitter users whose recent tweets contained "#kenya", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Wednesday, 11 August 2021 at 13:30 UTC.
The tweets in the network were tweeted over the 8-day, 4-hour, 32-minute period from Tuesday, 03 August 2021 at 07:29 UTC to Wednesday, 11 August 2021 at 12:01 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 Fruchterman-Reingold layout algorithm.
Graph Source : TwitterSearch
Graph Term : #kenya
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:
[1900] in,#kenya [1423] in,the [1121] of,the [794] to,the [711] to,be [561] at,the [497] de,la [484] for,a [482] for,the [462] #kenya,for Top Word Pairs in Tweet in G1:
[89] in,the [68] in,#kenya [60] #kenya,#africa [55] of,the [50] #nairobi,#kenya [47] in,kenya [35] is,the [33] eliud,kipchoge [31] #olympics,#kenya [30] is,a Top Word Pairs in Tweet in G2:
[378] of,the [277] foreign,affairs [222] prime,minister [181] the,two [163] of,#kenya [157] #kenya,s [153] raychelle,omamo [151] in,#mogadishu [150] to,#kenya [146] in,the Top Word Pairs in Tweet in G3:
[239] in,the [227] to,the [147] we,always [146] s,us [146] our,own [146] own,#african [146] #african,problems [146] problems,#kenya [146] an,example [146] example,not Top Word Pairs in Tweet in G4:
[366] #nikonusa,#thephotohour [328] in,#kenya [309] stormcloudsphotography,#natgeo [309] #natgeo,#natgeophotos [286] #nairobi,#africa [279] #kenya,for [270] #thephotohour,#travel [270] #travel,#animals [270] #animals,#travelphotography [270] #travelphotography,#safariphotography Top Word Pairs in Tweet in G5:
[320] in,#kenya [311] nnamdi,kanu [263] real_ipobdos,statehousekenya [247] usinnigeria,ukinnigeria [245] ukinnigeria,10downingstreet [245] 10downingstreet,euinnigeria [241] statedept,secblinken [241] ntvkenya,citizentvkenya [239] statehousekenya,usinnigeria [239] euinnigeria,statedept Top Word Pairs in Tweet in G6:
[191] #mombasa,aug [190] km,h [190] h,humidity [174] clouds,wind [151] few,clouds [144] 00,temperature [121] in,#kenya [100] wind,s [94] in,the [63] of,#kenya Top Word Pairs in Tweet in G7:
[159] dailynation,#kenya [122] in,the [86] #digitaleconomyke,#digitalreportke [84] the,country [77] for,the [72] #digitalreportke,#kenya [68] for,#kenya [64] digital,economy [61] in,#kenya [56] of,the Top Word Pairs in Tweet in G8:
[355] de,la [146] du,#kenya [136] à,#beni [135] #kenya,qui [135] qui,vont [135] vont,faire [135] faire,partie [135] partie,des [135] des,4 [135] la,#fib Top Word Pairs in Tweet in G9:
[457] to,be [284] you,don't [284] be,japanese [284] japanese,to [169] don't,have [167] have,to [167] be,a [167] a,manga [167] manga,artist' [167] kenyan,manga Top Word Pairs in Tweet in G10:
[174] via,palmoildetect [132] of,animals [110] hundreds,of [110] animals,are [110] are,endangered [110] endangered,by [110] by,#palmoil [110] #palmoil,in [110] in,#africa [110] #africa,find 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 Replied-To in G8:
Top Replied-To in G9:
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: