The graph represents a network of 3,374 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 Friday, 08 November 2019 at 20:01 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, 19-minute period from Thursday, 24 October 2019 at 14:40 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 : 3374
Unique Edges : 4163
Edges With Duplicates : 3074
Total Edges : 7237
Number of Edge Types : 3
Mentions : 3933
Replies to : 653
Tweet : 2651
Self-Loops : 2651
Reciprocated Vertex Pair Ratio : 0.0544724770642202
Reciprocated Edge Ratio : 0.10331702011963
Connected Components : 1327
Single-Vertex Connected Components : 1061
Maximum Vertices in a Connected Component : 1544
Maximum Edges in a Connected Component : 4525
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.816533
Graph Density : 0.000323184337562614
Modularity : 0.477643
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,374 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 Friday, 08 November 2019 at 20:01 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, 19-minute period from Thursday, 24 October 2019 at 14:40 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:
[426] quickbooks,online [238] banking,platform [209] mint,quickbooks [196] quickbooks,connect [179] during,account [179] account,takeover [178] quickbooks,banking [178] platform,during [178] takeover,storm [171] ncr,barred Top Word Pairs in Tweet in G1:
[178] quickbooks,online [133] mint,quickbooks [128] banking,platform [126] platform,during [125] ncr,barred [125] during,account [125] account,takeover [124] quickbooks,banking [124] barred,mint [124] takeover,storm Top Word Pairs in Tweet in G2:
[44] small,business [37] quickbooks,connect [31] 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] salesforce,hubspot 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] countdown,quickbooks [12] quickbooks,connect [12] #bookkeeping,accounting [11] quickbooks,online [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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