The graph represents a network of 5,684 Twitter users whose tweets in the requested range contained "#IRS OR @IRSNews OR @IRSTaxPros", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 01 August 2020 at 22:08 UTC.
The requested start date was Saturday, 01 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 9-day, 16-hour, 0-minute period from Wednesday, 22 July 2020 at 07:59 UTC to Saturday, 01 August 2020 at 00:00 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 : 5684
Unique Edges : 5644
Edges With Duplicates : 10791
Total Edges : 16435
Number of Edge Types : 5
Mentions : 5778
Replies to : 2220
Retweet : 2457
MentionsInRetweet : 3832
Tweet : 2148
Self-Loops : 2207
Reciprocated Vertex Pair Ratio : 0.0201870999507632
Reciprocated Edge Ratio : 0.0395752895752896
Connected Components : 665
Single-Vertex Connected Components : 505
Maximum Vertices in a Connected Component : 4693
Maximum Edges in a Connected Component : 14770
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.728578
Graph Density : 0.000256577173819767
Modularity : 0.404148
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 5,684 Twitter users whose tweets in the requested range contained "#IRS OR @IRSNews OR @IRSTaxPros", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 01 August 2020 at 22:08 UTC.
The requested start date was Saturday, 01 August 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 9-day, 16-hour, 0-minute period from Wednesday, 22 July 2020 at 07:59 UTC to Saturday, 01 August 2020 at 00:00 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 : #IRS OR @IRSNews OR @IRSTaxPros
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:
[509] economic,impact [414] money,received [413] prosecutors,charged [413] charged,#harvard [413] #harvard,chemistry [413] chemistry,professor [413] professor,#charleslieber [413] #charleslieber,failing [413] failing,report [413] report,money Top Word Pairs in Tweet in G1:
[304] economic,impact [225] impact,payment [200] irsnews,#irs [135] irsnews,#lopeztaxes [125] stimulus,check [124] tax,return [110] tax,refund [80] #irs,reminder [79] still,waiting [78] impact,payments Top Word Pairs in Tweet in G2:
[375] ustreasury,irsnews [184] irsnews,#blockdollaruseincuba [99] irsnews,#sanctionaiscard [48] #blockdollaruseincuba,#sanctionaiscard [36] jcalesero,ustreasury [36] stimulus,check [34] #sanctionaiscard,#blockdollaruseincuba [26] realdonaldtrump,irsnews [25] very,important [24] #blockdollaruseincuba,very Top Word Pairs in Tweet in G3:
[65] irsnews,irstaxpros [56] tax,return [42] irstaxpros,#irs [26] stimulus,check [25] economic,impact [20] #whoeverhasthegold,#makestherules [18] learn,more [18] tax,refund [16] nationwide,tax [16] irstaxpros,irsnews Top Word Pairs in Tweet in G4:
[59] #taxes,#irs [40] #irs,#taxes [40] #accounting,#irs [38] sell,taxable [38] taxable,products [38] products,services [38] services,#quickbooks [38] #quickbooks,online [38] online,helps [38] helps,track Top Word Pairs in Tweet in G5:
[412] prosecutors,charged [412] charged,#harvard [412] #harvard,chemistry [412] chemistry,professor [412] professor,#charleslieber [412] #charleslieber,failing [412] failing,report [412] report,money [412] money,received [281] epochtimes,prosecutors Top Word Pairs in Tweet in G6:
[38] epstein,accuser [38] accuser,bill [38] bill,clinton [38] clinton,partied [38] partied,pedophile [38] pedophile,island [38] island,thedailybeast [37] charlesortel,epstein [37] thedailybeast,ang [19] fahrenthold,realdonaldtrump Top Word Pairs in Tweet in G7:
[16] fbiwfo,irsnews [15] uscis,fbiwfo [15] steal,ppp [15] ppp,funds [12] irsnews,indian [12] indian,corp [12] corp,steal [10] beringorca,uscis [7] economic,impact [7] queens,man Top Word Pairs in Tweet in G8:
[61] economic,impact [50] irssmallbiz,#irs [43] learn,more [38] covid,19 [34] dirty,dozen [33] impact,payments [32] dozen,list [31] tax,scams [28] impact,payment [28] list,tax Top Word Pairs in Tweet in G9:
[12] britneyspears,naya_was [10] enews,britneyspears [10] naya_was,judgejudy [10] judgejudy,lasuperiorcourt [10] lasuperiorcourt,calcourts [10] calcourts,gavinnewsom [10] gavinnewsom,officialgleetv [10] officialgleetv,heathermorristv [9] fbi,irsnews [8] heathermorristv,joebiden Top Word Pairs in Tweet in G10:
[17] economic,impact [16] forbes,#tax [14] #taxes,#taxseason [14] #taxseason,#tax [14] #tax,#accounting [14] #accounting,#business [14] #business,#incometax [13] #incometax,#taxpro [13] #taxpro,#taxrefund [13] #taxrefund,#irs Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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: