The graph represents a network of 2,169 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 10 February 2019 at 09:41 UTC.
The requested start date was Sunday, 10 February 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 6-day, 6-hour, 49-minute period from Sunday, 03 February 2019 at 18:11 UTC to Sunday, 10 February 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 : 2169
Unique Edges : 4349
Edges With Duplicates : 3898
Total Edges : 8247
Number of Edge Types : 3
Mentions : 7041
Tweet : 1184
Replies to : 22
Self-Loops : 1184
Reciprocated Vertex Pair Ratio : 0.0376805526481055
Reciprocated Edge Ratio : 0.0726245713132943
Connected Components : 199
Single-Vertex Connected Components : 114
Maximum Vertices in a Connected Component : 1755
Maximum Edges in a Connected Component : 7701
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.923887
Graph Density : 0.00105414435887097
Modularity : 0.416154
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[942] gt,gt [909] fintech,finserv [457] read,more [408] big,data [406] banking,fintech [399] more,here [361] fintech,banking [220] here,bigdata [216] finserv,fintech [211] digitalmarketing,growthhacking Top Word Pairs in Tweet in G1:
[486] fintech,finserv [297] banking,fintech [142] 2019,banking [97] banking,industry [89] finserv,banking [89] jimmarous,8 [88] 8,technology [88] technology,trends [88] trends,banking [88] industry,watch Top Word Pairs in Tweet in G2:
[564] gt,gt [432] read,more [384] big,data [378] more,here [215] here,bigdata [194] digitalmarketing,growthhacking [192] mpgvip,defstar5 [180] infographic,digitalmarketing [169] defstar5,makeyourownlane [166] bigdata,datascience Top Word Pairs in Tweet in G3:
[286] gt,gt [162] link,gt [119] fintech,banking [118] blockchain,ecosystem [117] ecosystem,infographic [117] infographic,evankirstel [117] mt,fintech [116] banking,cryptocurrency [116] bitcoin,xrp [93] evankirstel,mt Top Word Pairs in Tweet in G4:
[78] fintech,finserv [49] lhoft,member [37] member,ripple [34] conversation,chris [34] chris,larsen [34] larsen,lhoft [34] ripple,building [34] building,internet [34] internet,value [34] financial,institutions Top Word Pairs in Tweet in G5:
[16] financialservices,finserv [16] payments,banking [15] banking,remittances [15] remittances,money [14] money,financialservices [13] bank,finserv [13] askfaisalkhan,payments [13] finserv,license [10] fintech,finserv [9] fincen,registration Top Word Pairs in Tweet in G6:
[36] fintech,finserv [30] banking,fintech [27] gt,gt [18] tech,technology [18] bitcoin,btc [17] finserv,banking [15] eth,btc [13] digital,banking [13] compliance,regulation [12] digital,banks Top Word Pairs in Tweet in G7:
[12] ria,rias [9] independence,independence [9] wealthmanagement,finserv [8] independence,being [8] being,help [8] help,clients [8] clients,limited [8] limited,self [8] self,interest [8] interest,financial Top Word Pairs in Tweet in G8:
[18] fintech,startups [11] new,bfaglobal [11] bfaglobal,report [11] accelerators,help [9] alternativedata,used [9] used,improve [9] improve,finserv [9] finserv,better [9] better,meet [9] meet,finneeds Top Word Pairs in Tweet in G9:
[18] fintech,finserv [9] artificialintelligence,testing [9] testing,top [9] use,cases [9] cases,financialservices [9] financialservices,2019 [8] top,5 [8] 5,use [8] 2019,v [8] v,capgemini Top Word Pairs in Tweet in G10:
[17] customer,obsessed [12] a6,banking [12] banking,use [12] use,ai [12] ai,machinelearning [12] machinelearning,more [12] more,fraud [12] fraud,ands [12] ands,risk [12] risk,banking Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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 G10: