The graph represents a network of 3,512 Twitter users whose recent tweets contained "#FinancialLiteracyMonth", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Wednesday, 17 April 2019 at 03:31 UTC.
The tweets in the network were tweeted over the 9-day, 12-hour, 34-minute period from Sunday, 07 April 2019 at 14:16 UTC to Wednesday, 17 April 2019 at 02:50 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 : 3512
Unique Edges : 3423
Edges With Duplicates : 3461
Total Edges : 6884
Self-Loops : 3579
Reciprocated Vertex Pair Ratio : 0.0528864059590317
Reciprocated Edge Ratio : 0.100459851432614
Connected Components : 1320
Single-Vertex Connected Components : 953
Maximum Vertices in a Connected Component : 1275
Maximum Edges in a Connected Component : 2415
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 8.239455
Graph Density : 0.000229266431761162
Modularity : 0.473707
NodeXL Version : 1.0.1.410
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[618] financial,literacy [606] learn,more [331] way,learn [316] literacy,month [265] april,#financialliteracymonth [225] don,t [213] set,up [204] make,sure [203] more,#financialliteracymonth [202] target,date Top Word Pairs in Tweet in G1:
[478] learn,more [299] way,learn [247] financial,literacy [194] literacy,month [177] target,date [177] date,portfolios [169] more,#financialliteracymonth [160] don,t [160] make,sure [158] emergency,fund Top Word Pairs in Tweet in G2:
[34] financial,literacy [26] check,out [25] junior,achievement [21] personal,finance [21] achievement,citizens [21] citizens,bank [19] don,t [16] credit,score [16] according,new [16] new,survey Top Word Pairs in Tweet in G3:
[18] #growyouroak,#financialliteracymonth [18] financial,literacy [14] april,#financialliteracymonth [14] literacy,tip [8] kind,coin [8] coin,adds [8] adds,up [8] up,#growyouroak [8] find,6 [8] 6,financial Top Word Pairs in Tweet in G4:
[76] spirit,#financialliteracymonth [76] #financialliteracymonth,m [76] m,challenging [76] challenging,myself [76] myself,teach [76] little,bit [76] bit,money [76] money,each [76] each,week [75] teach,kids Top Word Pairs in Tweet in G5:
[41] going,create [41] create,nation [41] nation,crawl [41] crawl,back [41] back,plantation [41] plantation,malcolm [41] malcolm,x [41] x,#blackeconomics [40] blkhiststudies,going [40] #blackeconomics,#financialli Top Word Pairs in Tweet in G6:
[32] april,#financialliteracymonth [23] #financialliteracymonth,good [23] good,time [23] time,assess [23] assess,workplace [23] workplace,#financialwellness [23] #financialwellness,programs [23] programs,meeting [23] meeting,employee [22] prudential,april Top Word Pairs in Tweet in G7:
[42] 5,days [42] days,liliana [42] liliana,learned [42] learned,takes [42] takes,people [42] people,5 [42] 5,years [42] years,#businessmastery [42] #businessmastery,teaches [42] teaches,simple Top Word Pairs in Tweet in G8:
[66] little,red [66] red,riding [66] riding,hood [66] hood,teach [66] teach,spotting [66] spotting,big [66] big,bad [66] bad,scammer [66] scammer,more [66] more,think Top Word Pairs in Tweet in G9:
[13] #financialliteracymonth,w [13] w,m [13] m,dems [13] financial,literacy [8] s,#financialliteracymonth [8] pgcps,libbykara [7] dems,recognizing [7] recognizing,importance [7] importance,advancing [7] advancing,legislation Top Word Pairs in Tweet in G10:
[20] important,webinar [20] webinar,time [20] time,financial [20] financial,institutions [20] institutions,help [20] help,consumers [20] consumers,through [20] through,education [20] education,register [20] register,now Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: