The graph represents a network of 1,290 Twitter users whose recent tweets contained "Africa Startup", 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 Sunday, 18 April 2021 at 15:57 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 30-minute period from Saturday, 10 April 2021 at 09:54 UTC to Sunday, 18 April 2021 at 15:25 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 Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 1290
Unique Edges : 1819
Edges With Duplicates : 495
Total Edges : 2314
Number of Edge Types : 5
Tweet : 519
Mentions : 389
Retweet : 866
MentionsInRetweet : 506
Replies to : 34
Self-Loops : 532
Reciprocated Vertex Pair Ratio : 0.015470297029703
Reciprocated Edge Ratio : 0.0304692260816575
Connected Components : 279
Single-Vertex Connected Components : 165
Maximum Vertices in a Connected Component : 715
Maximum Edges in a Connected Component : 1633
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.366183
Graph Density : 0.000986883648763238
Modularity : 0.686896
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,290 Twitter users whose recent tweets contained "Africa Startup", 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 Sunday, 18 April 2021 at 15:57 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 30-minute period from Saturday, 10 April 2021 at 09:54 UTC to Sunday, 18 April 2021 at 15:25 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 Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : Africa Startup
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:
[341] fintech,startup [281] seed,round [253] 3m,seed [226] ugandan,fintech [220] startup,numida [178] mfs,africa [172] leads,3m [172] round,ugandan [163] africa,leads [116] tech,startup Top Word Pairs in Tweet in G1:
[85] fintech,startup [73] ugandan,fintech [71] startup,numida [70] 3m,seed [70] seed,round [69] mfs,africa [67] africa,leads [67] leads,3m [67] round,ugandan [13] south,africa Top Word Pairs in Tweet in G2:
[105] fintech,startup [55] launch,mobile [54] seed,round [43] tech,startup [41] 3m,seed [41] ghanaian,fintech [41] 200k,seed [39] startup,bezomoney [39] bezomoney,raises [39] raises,200k Top Word Pairs in Tweet in G3:
[88] seed,round [82] 3m,seed [60] fintech,startup [55] ugandan,fintech [51] startup,numida [41] mfs,africa [38] small,businesses [35] micro,small [33] africa,leads [33] leads,3m Top Word Pairs in Tweet in G4:
[38] fintech,startup [33] 3m,seed [33] seed,round [33] ugandan,fintech [31] mfs,africa [31] africa,leads [31] leads,3m [31] round,ugandan [31] startup,numida [29] numida,techcrunch Top Word Pairs in Tweet in G5:
[30] people,make [15] losing,isn [15] isn,permanent [15] permanent,people [15] make,failure [15] failure,isn [15] isn,fatal [15] fatal,people [15] make,scary [15] scary,thing Top Word Pairs in Tweet in G6:
[26] startup,ecosystem [24] jiji,one [24] one,successful [24] successful,consumer [24] consumer,internet [24] internet,companies [24] companies,africa [24] africa,analyse [24] analyse,grown [24] grown,retain Top Word Pairs in Tweet in G7:
[9] canada,next [9] next,stop [9] stop,nigeria [9] nigeria,first [9] first,bus [9] bus,hailing [9] hailing,startup [7] premium,africa's [7] africa's,newest [7] newest,tech Top Word Pairs in Tweet in G8:
[29] startup,doing [29] doing,talentql [29] talentql,business [29] business,dev [29] dev,growth [29] growth,sales [29] sales,professionals [29] professionals,africa [2] nigerian,talent [2] talent,recruitment Top Word Pairs in Tweet in G9:
[27] doing,health [27] health,care [27] care,long [27] long,wanted [27] wanted,explore [27] explore,industries [27] industries,abena [27] abena,nyantekyi [27] nyantekyi,owusu [27] owusu,#hbs2021 Top Word Pairs in Tweet in G10:
[30] fishermen,lake [30] lake,victoria [30] victoria,kenya [30] kenya,begun [30] begun,using [30] using,electric [30] electric,fishing [30] fishing,boats [30] boats,kenya [30] kenya,based Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Mentioned in Entire Graph:
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 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: