The graph represents a network of 3,364 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 Saturday, 09 November 2019 at 20:03 UTC.
The requested start date was Wednesday, 06 November 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 12-day, 10-hour, 56-minute period from Thursday, 24 October 2019 at 14:03 UTC to Wednesday, 06 November 2019 at 01:00 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 : 3364
Unique Edges : 4143
Edges With Duplicates : 3071
Total Edges : 7214
Number of Edge Types : 3
Mentions : 3902
Replies to : 656
Tweet : 2656
Self-Loops : 2656
Reciprocated Vertex Pair Ratio : 0.0545297172533179
Reciprocated Edge Ratio : 0.103419972640219
Connected Components : 1331
Single-Vertex Connected Components : 1067
Maximum Vertices in a Connected Component : 1534
Maximum Edges in a Connected Component : 4507
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.81463
Graph Density : 0.000323075873241822
Modularity : 0.476265
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,364 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 Saturday, 09 November 2019 at 20:03 UTC.
The requested start date was Wednesday, 06 November 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 12-day, 10-hour, 56-minute period from Thursday, 24 October 2019 at 14:03 UTC to Wednesday, 06 November 2019 at 01:00 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 : 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[425] quickbooks,online [238] banking,platform [219] ã,ã [208] mint,quickbooks [196] quickbooks,connect [179] during,account [178] quickbooks,banking [178] platform,during [173] account,takeover [172] takeover,storm Top Word Pairs in Tweet in G1:
[186] ã,ã [181] quickbooks,online [135] mint,quickbooks [129] banking,platform [127] platform,during [126] ncr,barred [126] during,account [125] quickbooks,banking [125] barred,mint [121] account,takeover Top Word Pairs in Tweet in G2:
[44] small,business [37] quickbooks,connect [30] quickbooks,online [28] business,owners [27] learn,more [24] madelinekpratt,quickbooks [24] s,small [24] business,owner [24] smarter,business [24] business,tool Top Word Pairs in Tweet in G3:
[85] quickbooks,connect [55] san,jose [49] quickbooks,online [49] quickbooks,intuitaccts [41] open,banking [35] check,out [33] #poweringprosperity,quickbooks [31] davidleary,blaketoliver [28] attending,quickbooks [27] #qbfirmofthefuture,#poweringprosperity Top Word Pairs in Tweet in G4:
[100] check,printing [98] printing,software [95] blank,check [91] software,quickbooks [91] quickbooks,intuitapps [91] intuitapps,quickbookschecks [89] webcheckwriter,blank [40] online,check [38] write,check [38] check,writer Top Word Pairs in Tweet in G5:
[62] banking,platform [55] last,month [53] ncr,blocked [53] quickbooks,online [52] blocked,intuit's [52] intuit's,quickbooks [52] online,mint [52] mint,digital [52] digital,insight [52] insight,banking Top Word Pairs in Tweet in G6:
[27] scheduling,calendly [26] calendly,crm [25] task,management [13] management,asana [12] crm,dubsado [12] accounting,quickbooks [12] crm,mydubsado [12] mydubsado,streak [11] streak,task [11] management,focusterapp Top Word Pairs in Tweet in G7:
[25] here,10 [25] 10,high [25] high,quality [25] quality,business [25] business,services [25] services,allow [25] allow,focus [25] focus,love [25] love,running [24] smarter_loans,here Top Word Pairs in Tweet in G8:
[20] xero,quickbooks [7] quickbooks,xero [6] check,out [6] fetch,data [6] data,apps [6] apps,quickbooks [6] xero,salesforce [5] add,ons [5] find,out [5] iamdavidhill,xero Top Word Pairs in Tweet in G9:
[11] quickbooks,error [7] quickbooks,online [6] learn,more [6] intuit,quickbooks [5] fabulous,afternoon [5] afternoon,celebrating [5] celebrating,#melbournecup [5] #melbournecup,w [5] w,intuit [5] quickbooks,quickbooksau Top Word Pairs in Tweet in G10:
[20] jobs,#bookkeeping [18] usa,bookkeeper [15] bookkeeping,experience [12] quickbooks,online [12] countdown,quickbooks [12] quickbooks,connect [12] #bookkeeping,accounting [11] #quickbooks,#clients [11] david,leadbetter [10] check,out Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: