The graph represents a network of 3,449 Twitter users whose tweets in the requested range contained "quickbooks", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 26 February 2020 at 21:38 UTC.
The requested start date was Wednesday, 26 February 2020 at 19:10 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 8-day, 19-hour, 19-minute period from Monday, 17 February 2020 at 18:03 UTC to Wednesday, 26 February 2020 at 13:23 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 : 3449
Unique Edges : 4029
Edges With Duplicates : 3184
Total Edges : 7213
Number of Edge Types : 4
Tweet : 2071
Mentions : 1769
Replies to : 808
MentionsInRetweet : 2565
Self-Loops : 2071
Reciprocated Vertex Pair Ratio : 0.0395510422234099
Reciprocated Edge Ratio : 0.0760925449871465
Connected Components : 1016
Single-Vertex Connected Components : 764
Maximum Vertices in a Connected Component : 1262
Maximum Edges in a Connected Component : 3029
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.326145
Graph Density : 0.000327106481652774
Modularity : 0.519454
NodeXL Version : 1.0.1.425
Data Import : The graph represents a network of 3,449 Twitter users whose tweets in the requested range contained "quickbooks", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 26 February 2020 at 21:38 UTC.
The requested start date was Wednesday, 26 February 2020 at 19:10 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 8-day, 19-hour, 19-minute period from Monday, 17 February 2020 at 18:03 UTC to Wednesday, 26 February 2020 at 13:23 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 : quickbooks
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:
[506] #quickbooks,#comedy [506] #comedy,#contemporary [503] judehaste_write,#quickbooks [496] #contemporary,#quickreads [490] #quickreads,#shortstory [490] #shortstory,#grateful [490] #grateful,fellow [490] fellow,#author [490] #author,janromes [490] janromes,#review Top Word Pairs in Tweet in G1:
[177] quickbooks,online [94] small,business [80] watch,quick [80] quick,#tutorial [58] quickbooks,desktop [57] accounting,software [56] quickbooks,business [54] intuit,quickbooks [54] business,owners [54] business,course Top Word Pairs in Tweet in G2:
[52] stay,organized [51] paid,stay [34] quickbooks,paid [32] organized,run [30] used,little [28] quickbooks,remember [23] tax,season [22] run,payroll [20] thanks,quickbooks [19] remember,office Top Word Pairs in Tweet in G3:
[504] #quickbooks,#comedy [504] #comedy,#contemporary [503] judehaste_write,#quickbooks [496] #contemporary,#quickreads [490] #quickreads,#shortstory [490] #shortstory,#grateful [490] #grateful,fellow [490] fellow,#author [490] #author,janromes [490] janromes,#review Top Word Pairs in Tweet in G4:
[113] quickbooks,intuitaccts [105] #qbfirmofthefuture,#poweringprosperity [105] #poweringprosperity,quickbooks [36] quickbooks,connect [29] quickbooks,online [23] business,owners [19] small,business [14] quickbooks,quickbooksuk [14] come,meet [14] meet,fluidly Top Word Pairs in Tweet in G5:
[41] quickbooks,online [27] clearing,cache [22] try,clearing [16] cache,know [15] login,issue [14] access,account [13] log,try [13] back,running [12] before,logging [12] please,clear Top Word Pairs in Tweet in G6:
[41] intuit,quickbooks [29] excited,share [29] creditkarma,reported [29] earnings,delivered [29] delivered,another [29] another,strong [28] re,excited [28] share,re [28] re,joining [28] joining,forces Top Word Pairs in Tweet in G7:
[177] role,junior [177] junior,accountant [177] 2yrs,experience [177] experience,general [177] general,accounting [177] accounting,knowledge [173] accountant,abuja [173] abuja,location [172] location,abuja [172] abuja,2yrs Top Word Pairs in Tweet in G8:
[119] benzocarson,redditships [74] dating,quickbooks [73] redditships,gf [73] gf,thinks [73] thinks,months [73] months,week [73] week,chunks [73] chunks,sorry [73] sorry,actually [73] actually,dating Top Word Pairs in Tweet in G9:
[88] write,check [75] online,check [74] check,writer [46] print,quickbooks [46] quickbooks,checks [46] checks,blank [46] blank,check [44] check,learn [44] learn,easy [44] easy,write Top Word Pairs in Tweet in G10:
[15] xero,quickbooks [12] quickbooks,hubdoc [11] venmo,quickbooks [9] jwellscfo,venmo [8] quickbooks,xero [7] paypal,stripe [7] jwellscfo,xero [6] wordpressdotcom,wix [6] wix,godaddy [6] godaddy,siteground Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: