The graph represents a network of 2,141 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, 20 January 2019 at 10:09 UTC.
The requested start date was Sunday, 20 January 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, 7-hour, 12-minute period from Sunday, 13 January 2019 at 15:28 UTC to Saturday, 19 January 2019 at 22:41 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 : 2141
Unique Edges : 3826
Edges With Duplicates : 3827
Total Edges : 7653
Number of Edge Types : 3
Mentions : 6419
Tweet : 1205
Replies to : 29
Self-Loops : 1205
Reciprocated Vertex Pair Ratio : 0.0302308974053797
Reciprocated Edge Ratio : 0.0586876155268022
Connected Components : 240
Single-Vertex Connected Components : 155
Maximum Vertices in a Connected Component : 1719
Maximum Edges in a Connected Component : 7051
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.916425
Graph Density : 0.000944619293106986
Modularity : 0.412547
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[615] gt,gt [586] fintech,finserv [521] read,more [501] more,here [450] financial,services [450] big,data [354] banking,fintech [184] here,bigdata [170] finserv,banking [166] q4,2018 Top Word Pairs in Tweet in G1:
[286] banking,fintech [272] fintech,finserv [77] retail,banking [74] 2019,retail [74] banking,trends [74] trends,predictions [67] financial,wellness [67] wellness,app [66] digital,banking [61] 6,keys Top Word Pairs in Tweet in G2:
[543] gt,gt [218] financial,services [176] read,more [147] more,here [139] big,data [131] fintech,finserv [128] cyber,security [128] banks,financial [114] fintech,banking [104] finserv,banking Top Word Pairs in Tweet in G3:
[77] financial,services [51] find,out [47] q4,2018 [33] 2018,cbipwc [31] out,q4 [27] challenges,financial [24] cbipwc,financial [18] services,survey [15] survey,results [15] results,now Top Word Pairs in Tweet in G4:
[42] fintech,finserv [21] banking,finserv [19] the_lhoft,regtech [18] financial,institutions [18] finserv,banking [18] look,back [14] compliance,finserv [13] fintech,banking [13] project,finance [13] finance,trade Top Word Pairs in Tweet in G5:
[42] fintech,news [42] news,finserv [42] finserv,crypto [42] crypto,ai [12] fintech,finserv [12] rias,wealthmanagement [10] asia,shares [10] u,s [9] latest,fund [8] shares,u Top Word Pairs in Tweet in G6:
[38] s9l,italy [26] fintech,finserv [26] italy,innovation [25] innovation,supernovaelabs [15] finserv,fintech [15] next,payments [15] payments,101 [15] 101,training [15] training,course [15] course,jan Top Word Pairs in Tweet in G7:
[268] read,more [257] more,here [253] big,data [131] here,bigdata [90] bigdata,datascience [76] datascience,machinelearning [75] ai,iot [74] machinelearning,deeplearning [74] robots,ai [74] iot,finserv Top Word Pairs in Tweet in G8:
[64] award,regtech [63] regtech,startup [51] startup,ume_kyd [28] ume_kyd,smart [26] future,award [20] award,startup [20] predictive,analytics [20] digitalmarketing,growthhacking [20] growthhacking,startups [19] focus,data Top Word Pairs in Tweet in G9:
[13] top,7 [12] 7,digitaltransformation [12] digitaltransformation,trends [8] trends,financial [8] financial,services [8] services,2019 [7] companies,finlab [7] finlab,s [7] s,fourth [7] fourth,cohort Top Word Pairs in Tweet in G10:
[43] read,more [41] more,here [38] big,data [16] analytics,machinelearning [15] deeplearning,ksql [15] ksql,mqtt [15] mqtt,iot [15] iot,sensor [15] sensor,bigdata [15] bigdata,analytics Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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: