The graph represents a network of 4,618 Twitter users whose tweets in the requested range contained "accenture", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 13 January 2019 at 04:49 UTC.
The requested start date was Sunday, 13 January 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 3-day, 12-hour, 9-minute period from Tuesday, 08 January 2019 at 19:55 UTC to Saturday, 12 January 2019 at 08:04 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 : 4618
Unique Edges : 5544
Edges With Duplicates : 2695
Total Edges : 8239
Number of Edge Types : 3
Tweet : 1673
Mentions : 6347
Replies to : 219
Self-Loops : 1673
Reciprocated Vertex Pair Ratio : 0.018359375
Reciprocated Edge Ratio : 0.0360567702339854
Connected Components : 946
Single-Vertex Connected Components : 777
Maximum Vertices in a Connected Component : 3163
Maximum Edges in a Connected Component : 5918
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.624008
Graph Density : 0.000244544119389309
Modularity : 0.59208
NodeXL Version : 1.0.1.407
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1433] high,profile [1432] nine,high [1411] 75m,brexit [1410] brexit,related [1410] related,contracts [1410] consultancy,firms [1409] government,awarded [1409] contracts,nine [1408] profile,consultancy [1407] sources,government Top Word Pairs in Tweet in G1:
[1400] nine,high [1400] high,profile [1394] 75m,brexit [1393] sky,sources [1393] sources,government [1393] government,awarded [1393] brexit,related [1393] related,contracts [1393] contracts,nine [1393] profile,consultancy Top Word Pairs in Tweet in G2:
[102] key,players [100] atos,capgemini [100] capgemini,cgi [99] cgi,cisco [97] accenture,plc [74] sa,accenture [74] market,2019 [73] top,key [72] cisco,systems [72] general,electric Top Word Pairs in Tweet in G3:
[38] à,à [32] learn,more [26] diversity,inclusion [21] juliesweet,shares [21] ceo,juliesweet [20] north,america [19] accenture,s [19] america,ceo [19] business,priority [18] accenture,ceo Top Word Pairs in Tweet in G4:
[64] learn,more [59] digital,consumer [56] consumer,survey [53] voice,assistant [52] assistant,use [52] use,up [52] up,12 [52] 12,last [52] last,year [52] year,learn Top Word Pairs in Tweet in G5:
[23] innovation,challenge [21] healthtech,innovation [19] b,well [19] well,connected [19] connected,health [18] accenture,healthtech [12] healthtechchallenge,innovation [12] ayasdi,top [12] top,innovators [12] innovators,b Top Word Pairs in Tweet in G6:
[4] creativempathy,carrolka [4] thomaspearc3120,teasippingbarb [4] teasippingbarb,trom771 [4] trom771,tricksalsman [4] tricksalsman,jlibpunisher [4] jlibpunisher,philchill1 [4] philchill1,ghost_kitty [4] ghost_kitty,neeneemarie23 [4] neeneemarie23,steve_amp [4] steve_amp,zazzybritches Top Word Pairs in Tweet in G7:
[29] ai,wheel [29] wheel,infographic [29] infographic,v [29] v,accenture [29] accenture,corpnce [29] corpnce,reddit [29] reddit,machinelearning [29] machinelearning,deeplearning [26] ipfconline1,ai [23] deeplearning,botâ Top Word Pairs in Tweet in G8:
[33] startupchile,demodayg20 [31] accenture,transbank [31] transbank,microsoft [30] demodayg20,accenture [30] microsoft,bancobci [26] bancobci,startupchileimpact [11] microsoft,accenture [10] thrilled,cortexstl [10] cortexstl,working [10] working,microsoft Top Word Pairs in Tweet in G9:
[18] ibm's,acquisition [18] acquisition,red [18] red,hat [18] hat,mean [18] mean,future [18] future,cloud [18] cloud,space [18] space,greg [18] greg,bledsoe [18] bledsoe,took Top Word Pairs in Tweet in G10:
[54] telemetry,automobile [54] automobile,insurance [54] insurance,sensors [54] sensors,drones [54] drones,home [54] home,insurance [54] insurance,iot [54] iot,wearables [54] wearables,life [54] life,health 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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