The graph represents a network of 1,248 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 9:42:36 AM and 9/1/2023 9:42:36 AM. The network was obtained from Twitter on Monday, 18 September 2023 at 02:59 UTC.
The tweets in the network were tweeted over the 1405-day, 3-hour, 49-minute period from Wednesday, 13 November 2019 at 06:10 UTC to Monday, 18 September 2023 at 09:59 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 : 1225
Unique Edges : 1111
Edges With Duplicates : 361
Total Edges : 1472
Self-Loops : 678
Reciprocated Vertex Pair Ratio : 0.0188679245283019
Reciprocated Edge Ratio : 0.037037037037037
Connected Components : 592
Single-Vertex Connected Components : 424
Maximum Vertices in a Connected Component : 307
Maximum Edges in a Connected Component : 484
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 9.475311
Graph Density : 0.000468187274909964
Modularity : 0.617346
NodeXL Version : 1.0.1.521
Data Import : The graph represents a network of 1,248 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 9:42:36 AM and 9/1/2023 9:42:36 AM. The network was obtained from Twitter on Monday, 18 September 2023 at 02:59 UTC.
The tweets in the network were tweeted over the 1405-day, 3-hour, 49-minute period from Wednesday, 13 November 2019 at 06:10 UTC to Monday, 18 September 2023 at 09:59 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 [178] transformation,africa [113] south,africa [112] africa,s [81] s,digital [60] africa,digital [57] east,africa [41] accelerate,digital [38] africa's,digital [34] 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] dr,azawedde [2] partnering,icdl [2] digital,skills [2] digitizing,uganda [2] uganda,digital [2] africa,summit [2] transformation,roadmap [2] skills,continue [2] transformation,agenda Top Word Pairs in Tweet in G4:
[21] digital,transformation [8] lillianb1,ceo [8] economic,opportunities [8] microsoft,south [8] africa,#it [8] opportunities,industry [8] industries,amp [8] amp,#women [8] transformation,industries [8] societies,amp Top Word Pairs in Tweet in G5:
[19] digital,transformation [8] panacea,digital [8] transformation,sub [6] sub,saharan [6] responsible,ai [5] saharan,africa [5] ethics,panacea [5] ai,ethics [4] #responsibleai,#ethics [3] amp,skills Top Word Pairs in Tweet in G6:
[20] digital,transformation [13] africa,s [8] s,digital [6] enhancing,africa [5] mr,stephen [5] summit,enhancing [5] ambassador,h [5] officiated,opening [5] transformation,mombasa [5] ceo,mr Top Word Pairs in Tweet in G7:
[22] digital,transformation [6] transformation,africa [6] s,digital [5] transformation,health [5] health,africa [5] driving,digital [4] taking,place [4] 8,march [4] young,people [4] 5,8 Top Word Pairs in Tweet in G8:
[14] digital,transformation [8] transformation,strategy [4] africacdc,digital [3] digital,health [2] health,africa [2] emergency,response [2] africa,s [2] launch,digital [2] revolutionize,healthcare [2] healthcare,africa Top Word Pairs in Tweet in G9:
[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 Word Pairs in Tweet in G10:
[16] digital,transformation [5] transformation,africa [2] au_wgyd,afcfta [2] possible,favourable [2] through,afcfta [2] need,identify [2] policies,look [2] technology,industry [2] intra,africa [2] last,chance 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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