The graph represents a network of 4,322 Twitter users whose tweets in the requested range contained "pwc", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 26 April 2020 at 15:18 UTC.
The requested start date was Sunday, 26 April 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 2-day, 0-hour, 57-minute period from Thursday, 23 April 2020 at 18:34 UTC to Saturday, 25 April 2020 at 19:31 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 : 4322
Unique Edges : 4565
Edges With Duplicates : 8166
Total Edges : 12731
Number of Edge Types : 5
Retweet : 2593
MentionsInRetweet : 4664
Replies to : 886
Mentions : 3380
Tweet : 1208
Self-Loops : 1252
Reciprocated Vertex Pair Ratio : 0.0461354104254044
Reciprocated Edge Ratio : 0.0882016036655212
Connected Components : 805
Single-Vertex Connected Components : 517
Maximum Vertices in a Connected Component : 2662
Maximum Edges in a Connected Component : 9796
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.534731
Graph Density : 0.000373968654529963
Modularity : 0.491719
NodeXL Version : 1.0.1.431
Data Import : The graph represents a network of 4,322 Twitter users whose tweets in the requested range contained "pwc", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 26 April 2020 at 15:18 UTC.
The requested start date was Sunday, 26 April 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 2-day, 0-hour, 57-minute period from Thursday, 23 April 2020 at 18:34 UTC to Saturday, 25 April 2020 at 19:31 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 : pwc
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:
[1826] gt,gt [556] empresa,respetada [554] sector,construcción [553] respetada,sector [552] quería,felicitar [552] felicitar,equipo [552] equipo,logro [552] logro,nombrada [552] nombrada,empresa [551] josephsst,quería Top Word Pairs in Tweet in G1:
[556] empresa,respetada [554] sector,construcción [553] respetada,sector [552] quería,felicitar [552] felicitar,equipo [552] equipo,logro [552] logro,nombrada [552] nombrada,empresa [551] josephsst,quería [29] pwc,ceecuatoriano Top Word Pairs in Tweet in G2:
[1736] gt,gt [526] #pwc,mikequindazzi [442] gt,#pwc [392] mikequindazzi,gt [191] gt,#ai [160] mikequindazzi,pwc [146] #iot,#ai [121] mikequindazzi,#iot [119] #emergingtechnologies,leading [119] leading,enterprises Top Word Pairs in Tweet in G3:
[162] digital,fitness [159] fitness,app [91] app,free [64] pwc,released [64] released,digital [63] looking,productive [63] productive,way [63] way,spend [63] spend,time [63] time,indoors Top Word Pairs in Tweet in G4:
[39] #techwecan,tuesdays [38] kids,aged [38] aged,10 [37] join,#techwecan [37] consider,career [37] #techshecan,charter [37] 10,13 [35] tuesdays,free [35] free,weekly [35] weekly,online Top Word Pairs in Tweet in G5:
[5] #ad,pwctax [5] sales,tax [5] pwc,deloitte [4] don,#salestax [4] #salestax,pitfalls [4] pitfalls,cost [4] cost,business [4] business,check [4] check,tips [4] tips,#ad Top Word Pairs in Tweet in G6:
[36] digital,fitness [36] fitness,app [16] προσφέρουμε,δωρεάν [16] δωρεάν,το [16] το,digital [16] app,της [16] της,#pwc [16] #pwc,στηρίζουμε [16] στηρίζουμε,έμπρακτα [16] έμπρακτα,τη Top Word Pairs in Tweet in G7:
[8] august,2019 [8] 2019,lenders [8] lenders,appointed [8] appointed,audit [8] audit,firm [8] firm,pwc [8] pwc,examine [8] examine,ckl [8] ckl,shrimichoudhary [8] shrimichoudhary,aneeshp Top Word Pairs in Tweet in G8:
[8] main,benefits [8] benefits,feminization [8] feminization,#fintech [8] #fintech,2020 [8] 2020,#women [8] #women,#finance [8] #finance,study [7] bouteloupjp,main [5] adamkalfon,pwc_france [5] pwc_france,mikequindazzi Top Word Pairs in Tweet in G9:
[11] paradigma,económico [10] cambio,paradigma [9] #covid19,cambio [9] económico,medida [9] medida,deteriora [9] deteriora,#economía [9] #economía,empezamos [9] empezamos,ver [9] ver,#empresas [8] jlcasal,#covid19 Top Word Pairs in Tweet in G10:
[23] run,morning [23] morning,surreal [23] surreal,ran [23] ran,area [23] area,view [23] view,lekki [23] lekki,expressway [23] expressway,7am [23] 7am,hundreds [23] hundreds,people Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: