The graph represents a network of 4,703 Twitter users whose recent tweets contained "accenture", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/10/2023 5:00:34 PM. The network was obtained from Twitter on Wednesday, 11 January 2023 at 22:49 UTC.
The tweets in the network were tweeted over the 2402-day, 10-hour, 30-minute period from Monday, 13 June 2016 at 14:28 UTC to Wednesday, 11 January 2023 at 00:58 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.
Author Description
Vertices : 4703
Unique Edges : 4051
Edges With Duplicates : 8125
Total Edges : 12176
Number of Edge Types : 9
Mentions : 2324
Replies to : 931
MentionsInReplyTo : 2177
Retweet : 1869
MentionsInRetweet : 2864
Tweet : 1749
Quote : 53
MentionsInQuote : 82
MentionsInQuoteReply : 127
Self-Loops : 2215
Reciprocated Vertex Pair Ratio : 0.0282505105513955
Reciprocated Edge Ratio : 0.0549486924859318
Connected Components : 1033
Single-Vertex Connected Components : 674
Maximum Vertices in a Connected Component : 2272
Maximum Edges in a Connected Component : 7718
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.503505
Graph Density : 0.00027322668779885
Modularity : 0.472993
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,703 Twitter users whose recent tweets contained "accenture", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/10/2023 5:00:34 PM. The network was obtained from Twitter on Wednesday, 11 January 2023 at 22:49 UTC.
The tweets in the network were tweeted over the 2402-day, 10-hour, 30-minute period from Monday, 13 June 2016 at 14:28 UTC to Wednesday, 11 January 2023 at 00:58 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 : TwitterSearch2
Graph Term : accenture
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:
[436] one,best [433] data,analytics [419] learners,one [419] hey,data [419] develop,portfolio [419] master,skill [419] portfolio,project [419] analytics,learners [419] best,ways [419] ways,master Top Word Pairs in Tweet in G1:
[48] interest,metaverse [48] consumer,business [48] business,interest [43] supply,chain [36] sks,group [34] acn,accenture [34] growing,consumer [30] fuel,trillion [30] trillion,dollar [30] metaverse,expected Top Word Pairs in Tweet in G2:
[111] helped,consolidate [111] consistent,back [111] partnering,accenture [111] bring,consistent [111] back,office [111] enterprise,wide [111] systems,bring [111] consolidate,enterprise [111] wide,systems [110] accenture,oracle Top Word Pairs in Tweet in G3:
[424] data,analytics [419] learners,one [419] develop,portfolio [419] ways,master [419] portfolio,project [419] master,skill [419] best,ways [419] hey,data [419] analytics,learners [419] one,best Top Word Pairs in Tweet in G4:
[22] accenture,accentureindia [16] accenture_us,microsoft [14] accenturejobsin,accenture [12] being,positioned [11] martingtobias,accenture_us [9] supply,chain [9] wipro,hcltech [9] young,people [9] tcs,infosys [9] artificial,intelligence Top Word Pairs in Tweet in G5:
[97] #genpact,#ceo [82] #microsoft,#bigdata [82] #gartner,#ey [82] #ceo,#mckinsey [82] #wns,#jpmorgan [82] #bain,#bpo [82] #deloitte,#aws [82] #wipro,#infosys [82] #cognizant,#pwc [82] #bcg,#bain Top Word Pairs in Tweet in G6:
[120] everyone,digital [120] bless,health [120] happy,year [120] #2023,bless [120] health,wealth [120] year,everyone [120] digital,pound [120] wealth,happiness [120] pound,foundation [120] foundation,#2023 Top Word Pairs in Tweet in G7:
[23] accenture_us,ingridvasiliu [23] shi4tech,ianljones98 [23] ianljones98,glengilmore [23] ingridvasiliu,lyakovet [23] lyakovet,shi4tech [22] revolution,accenture_us [22] evolution,revolution [22] #metaverse,evolution [21] betamoroney,#metaverse [21] glengilmore,dee Top Word Pairs in Tweet in G8:
[13] salesforce,amazon [13] amazonhelp,salesforce [12] arrived,stop [12] 2023,arrived [12] ces,#lasvegas [12] jan,5th [12] stop,radixdlt [12] radixdlt,working [12] working,hard [12] 24,booth Top Word Pairs in Tweet in G9:
[41] guidance,industry [34] industry,network [14] dcu,30percentclubie [12] launch,guidance [11] collaboration,dcu [10] guidance,counsellors [10] #gain2023,guidance [9] host,inaugural [9] inaugural,#gain2023 [9] collaboration,between Top Word Pairs in Tweet in G10:
[73] 2021,macron [73] macron,govt [73] reminder,mar2022 [73] signed,contracts [73] consultancy,use [73] 9m,2021 [73] slam,consultancy [73] senators,slam [73] mar2022,french [73] 893,9m Top Replied-To in Entire Graph:
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 Replied-To in G10:
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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: