The graph represents a network of 6,455 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, 06 September 2020 at 14:06 UTC.
The requested start date was Sunday, 06 September 2020 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 4-day, 9-hour, 29-minute period from Tuesday, 01 September 2020 at 14:30 UTC to Sunday, 06 September 2020 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 : 6455
Unique Edges : 5958
Edges With Duplicates : 12270
Total Edges : 18228
Number of Edge Types : 5
Tweet : 1815
Replies to : 1505
Mentions : 5735
MentionsInRetweet : 5662
Retweet : 3511
Self-Loops : 1874
Reciprocated Vertex Pair Ratio : 0.0415420405450316
Reciprocated Edge Ratio : 0.0797702616464582
Connected Components : 1070
Single-Vertex Connected Components : 613
Maximum Vertices in a Connected Component : 3532
Maximum Edges in a Connected Component : 12459
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.04048
Graph Density : 0.000225681021647087
Modularity : 0.483199
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 6,455 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, 06 September 2020 at 14:06 UTC.
The requested start date was Sunday, 06 September 2020 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 4-day, 9-hour, 29-minute period from Tuesday, 01 September 2020 at 14:30 UTC to Sunday, 06 September 2020 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 : 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:
[539] ãƒ,ム[511] gt,gt [365] london,capital [364] thirteen,people [364] people,including [364] including,former [364] former,uk [364] uk,energy [364] energy,minister [364] minister,sued Top Word Pairs in Tweet in G1:
[76] cy,cheung [75] ceo,sunshinelu24 [60] pwc,ceo [59] undp,pwc [58] together,cy [58] cheung,partner [58] partner,cybersec [58] cybersec,innovation [58] innovation,pwc [58] sunshinelu24,attended Top Word Pairs in Tweet in G2:
[155] ãƒ,ム[47] covid,19 [43] ø,ø [35] ø,ù [29] ù,ø [22] î,î [19] learn,more [19] entertainment,media [18] remote,work [18] æ,ç Top Word Pairs in Tweet in G3:
[32] work,bradford [29] amitchampaneri1,stephenjfitz [29] stephenjfitz,mrstefandoe [28] delighted,named [28] #responsiblebusiness,champion [28] read,more [28] join,pwc_uk [27] boost,employability [27] pwc_uk,delighted [26] cbrooooney,squinn022 Top Word Pairs in Tweet in G4:
[363] thirteen,people [363] people,including [363] including,former [363] former,uk [363] uk,energy [363] energy,minister [363] minister,sued [363] sued,178m [363] 178m,connection [363] connection,alleged Top Word Pairs in Tweet in G5:
[90] 31,agosto [90] agosto,2020 [88] go,41 [88] 41,954 [88] 954,fecha [88] fecha,31 [88] 2020,prov [88] prov,snat [88] snat,2020 [88] 2020,00057 Top Word Pairs in Tweet in G6:
[371] gt,gt [102] #pwc,mikequindazzi [83] gt,#pwc [67] mikequindazzi,gt [50] antgrasso,fisher85m [44] pwc,mikequindazzi [37] #ai,#iot [37] mikequindazzi,cc [37] cc,antgrasso [32] #enterprise,gt Top Word Pairs in Tweet in G7:
[51] dead,capital [32] needs,turn [32] turn,unproductive [32] unproductive,assets [32] assets,productive [32] productive,assets [31] unimaginably,wealthy [31] wealthy,justs [31] justs,needs [31] assets,including Top Word Pairs in Tweet in G8:
[31] barça,extrañan [31] extrañan,filtracion [31] filtracion,informe [31] informe,mossos [31] mossos,barçagate [31] barçagate,estar [31] estar,bajo [31] bajo,secreto [31] secreto,sumario [30] fansjavimiguel,barça Top Word Pairs in Tweet in G9:
[14] revival,growth [11] full,potential [11] #reinventthefuture,#emergingstronger [9] talent,tax [9] tax,2020 [8] trusted,#blockchain [8] #blockchain,network [8] network,health [8] health,insurance [8] insurance,providers Top Word Pairs in Tweet in G10:
[110] guide,listing [109] listing,korean [108] welcome,daily [108] daily,lesson [108] lesson,guide [108] pwc,heard [107] bangtanscholars,welcome [104] korean,exchangeâ [104] exchangeâ,pwc [104] heard,bigâ Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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 Mentioned in G10:
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:
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Top Tweeters in G9:
Top Tweeters in G10: