The graph represents a network of 4,954 Twitter users whose tweets in the requested range contained "digitaltransformation", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 17 March 2021 at 12:25 UTC.
The requested start date was Wednesday, 17 March 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 1-day, 17-hour, 10-minute period from Monday, 15 March 2021 at 06:50 UTC to Wednesday, 17 March 2021 at 00:00 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 : 4954
Unique Edges : 4782
Edges With Duplicates : 10173
Total Edges : 14955
Number of Edge Types : 5
Retweet : 3953
MentionsInRetweet : 5943
Tweet : 2959
Mentions : 1971
Replies to : 129
Self-Loops : 3087
Reciprocated Vertex Pair Ratio : 0.0163934426229508
Reciprocated Edge Ratio : 0.032258064516129
Connected Components : 1423
Single-Vertex Connected Components : 1015
Maximum Vertices in a Connected Component : 2770
Maximum Edges in a Connected Component : 12261
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.831631
Graph Density : 0.00027036541552768
Modularity : 0.395801
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 4,954 Twitter users whose tweets in the requested range contained "digitaltransformation", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 17 March 2021 at 12:25 UTC.
The requested start date was Wednesday, 17 March 2021 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 1-day, 17-hour, 10-minute period from Monday, 15 March 2021 at 06:50 UTC to Wednesday, 17 March 2021 at 00:00 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 : GraphServerTwitterSearch
Graph Term : digitaltransformation
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:
[507] digital,transformation [183] ingliguori,#digitaltransformation [174] #bigdata,#uk [174] #uk,#linkedin [173] #linkedin,#supplychain [171] #supplychain,#women [170] artificial,intelligence [164] #digitaltransformation,#machinelearning [162] #women,#insurtech [161] #insurtech,#usa Top Word Pairs in Tweet in G1:
[91] digital,transformation [28] many,businesses [28] ongoing,#digitaltransformation [27] thanks,ongoing [27] #digitaltransformation,location [27] location,longer [27] longer,concern [27] concern,many [27] businesses,companies [17] covid,19 Top Word Pairs in Tweet in G2:
[113] digital,transformation [82] #bigdata,#uk [82] #uk,#linkedin [81] #linkedin,#supplychain [79] #supplychain,#women [72] #women,#insurtech [72] #insurtech,#usa [44] #usa,#socialmedia [36] #socialmedia,#iiot [34] covid,19 Top Word Pairs in Tweet in G3:
[168] ingliguori,#digitaltransformation [127] #machinelearning,#bigdata [123] #digitaltransformation,#machinelearning [90] #digitaltransformation,#cloud [90] #ai,#artificialintelligence [84] artificial,intelligence [80] digital,transformation [76] #bigdata,#uk [76] #uk,#linkedin [76] #linkedin,#supplychain Top Word Pairs in Tweet in G4:
[96] digital,transformation [58] artificial,intelligence [54] bank,needs [53] #digitaltransformation,cc [45] #ai,#digitaltransformation [41] two,#digitaltransformation [28] needs,chatbot [28] chatbot,two [26] needs,#chatbot [26] #chatbot,two Top Word Pairs in Tweet in G5:
[52] googlecloud,announces [52] announces,strategic [52] strategic,alliance [52] alliance,making [52] making,automationanywh [52] automationanywh,preferred [52] preferred,#rpa [52] #rpa,partner [52] partner,enabling [45] enabling,enterpr Top Word Pairs in Tweet in G6:
[12] #digitaltransformation,#innovation [8] digital,transformation [8] same,way [8] way,supported [8] supported,gokada [8] gokada,lagosians [8] lagosians,berate [8] berate,sanwo [8] sanwo,olu [8] olu,stifling Top Word Pairs in Tweet in G7:
[14] digital,transformation [10] #digitaltransformation,#iot [9] comes,#digitaltransformation [9] chris,kinzler [9] shanebrighton,technative [9] business,prepare [9] prepare,reflect [9] reflect,reform [9] reform,leverage [9] leverage,#digital Top Word Pairs in Tweet in G8:
[17] schneider,electric [16] peter,weckesser [16] weckesser,chief [16] chief,digital [16] digital,officer [16] officer,schneider [16] electric,shares [16] shares,experience [16] experience,learnings [16] learnings,fully Top Word Pairs in Tweet in G9:
[22] fan,base [21] base,platform [20] platform,followers [19] followers,likes [17] likes,viewers [14] build,huge [14] huge,fan [8] build,great [8] great,fan [6] viewers,super Top Word Pairs in Tweet in G10:
[9] digital,transformation [6] transformation,#digitaltransformation [4] discover,more [4] more,leveraging [4] leveraging,digital [4] #digitaltransformation,#innovation [4] #innovation,#leadership [4] lead,strategy [4] strategy,emotions [4] emotions,nadia Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: