The graph represents a network of 1,249 Twitter users whose recent tweets contained "digital transformation in Africa", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 1,000 tweets, tweeted between 1/1/2022 3:23:15 PM and 8/31/2023 3:23:15 PM. The network was obtained from Twitter on Monday, 18 September 2023 at 08:39 UTC.
The tweets in the network were tweeted over the 1405-day, 9-hour, 28-minute period from Wednesday, 13 November 2019 at 06:10 UTC to Monday, 18 September 2023 at 15:39 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.
Vertices : 1249
Unique Edges : 1112
Edges With Duplicates : 357
Total Edges : 1469
Self-Loops : 677
Reciprocated Vertex Pair Ratio : 0.0188679245283019
Reciprocated Edge Ratio : 0.037037037037037
Connected Components : 616
Single-Vertex Connected Components : 447
Maximum Vertices in a Connected Component : 264
Maximum Edges in a Connected Component : 408
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.986355
Graph Density : 0.000450360288230584
Modularity : 0.618511
NodeXL Version : 1.0.1.521
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=292599
Data Import : The graph represents a network of 1,249 Twitter users whose recent tweets contained "digital transformation in Africa", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 1,000 tweets, tweeted between 1/1/2022 3:23:15 PM and 8/31/2023 3:23:15 PM. The network was obtained from Twitter on Monday, 18 September 2023 at 08:39 UTC.
The tweets in the network were tweeted over the 1405-day, 9-hour, 28-minute period from Wednesday, 13 November 2019 at 06:10 UTC to Monday, 18 September 2023 at 15:39 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 : digital transformation in Africa
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:
[1014] digital,transformation [180] transformation,africa [112] south,africa [112] africa,s [81] s,digital [60] africa,digital [57] east,africa [41] accelerate,digital [38] africa's,digital [35] driving,digital Top Word Pairs in Tweet in G1:
[475] digital,transformation [71] south,africa [62] transformation,africa [44] africa,s [29] east,africa [28] africa,digital [24] accelerate,digital [21] s,digital [18] africa's,digital [18] transformation,south Top Word Pairs in Tweet in G2:
[41] digital,transformation [8] transformation,africa [7] t,co [7] https,t [6] africa,europe [6] transform,africa [6] smart,africa [5] africa,summit [5] ecdpm,hosting [5] africa's,digital Top Word Pairs in Tweet in G3:
[9] digital,transformation [2] transformation,roadmap [2] bottleneck,digital [2] continue,bottleneck [2] digital,skills [2] uganda,digital [2] africa,summit [2] dr,azawedde [2] transformation,agenda [2] commitment,digitizing Top Word Pairs in Tweet in G4:
[17] digital,transformation [5] africa,s [5] transformation,africa [4] s,digital [3] #microsoft,drive [3] transformation,public [3] public,cloud [2] over,next [2] mtnghana,mtnrwanda [2] cloud,mtnghana Top Word Pairs in Tweet in G5:
[20] digital,transformation [8] transformation,strategy [4] africacdc,digital [3] digital,health [2] mastercard,alx_africa [2] africa,s [2] launch,digital [2] done,mastercard [2] strategy,launched [2] healthcare,africa Top Word Pairs in Tweet in G6:
[22] digital,transformation [6] transformation,africa [6] s,digital [5] health,africa [5] transformation,health [5] driving,digital [4] taking,place [4] 5,8 [4] 8,march [4] young,people Top Word Pairs in Tweet in G7:
[8] digital,transformation [2] technology,exhibition [2] largest,technology [2] exhibition,east Top Word Pairs in Tweet in G8:
[30] digital,transformation [14] gitex,africa [9] transformation,africa [7] read,more [5] africa,s [4] 00,pm [3] gitexafrica,#africa [3] 3rd,edition [3] industry,academia [3] june,2 Top Word Pairs in Tweet in G9:
[16] digital,transformation [5] transformation,africa [2] dream,prosperity [2] technology,industry [2] au_wgyd,afcfta [2] faced,african [2] made,possible [2] transformation,made [2] women,youth [2] identify,opportunities Top Word Pairs in Tweet in G10:
[17] digital,transformation [12] transformation,africa [10] u,s [9] s,digital [8] africa,s [6] africa,initiative [4] digital,access [4] africa,fintech [4] fintech,summit [4] leaders,summit Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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