The graph represents a network of 11,263 Twitter users whose recent tweets contained "#fintech", 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 Thursday, 07 November 2019 at 01:36 UTC.
The tweets in the network were tweeted over the 1-day, 18-hour, 30-minute period from Tuesday, 05 November 2019 at 05:47 UTC to Thursday, 07 November 2019 at 00:18 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 : 11263
Unique Edges : 31815
Edges With Duplicates : 24712
Total Edges : 56527
Self-Loops : 5128
Reciprocated Vertex Pair Ratio : 0.0381060391267366
Reciprocated Edge Ratio : 0.0734145408859999
Connected Components : 1530
Single-Vertex Connected Components : 838
Maximum Vertices in a Connected Component : 7894
Maximum Edges in a Connected Component : 51779
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.70995
Graph Density : 0.000288653993357789
Modularity : 0.462441
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 11,263 Twitter users whose recent tweets contained "#fintech", 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 Thursday, 07 November 2019 at 01:36 UTC.
The tweets in the network were tweeted over the 1-day, 18-hour, 30-minute period from Tuesday, 05 November 2019 at 05:47 UTC to Thursday, 07 November 2019 at 00:18 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 : TwitterSearch
Graph Term : #fintech
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
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3069] gt,gt [727] #fintech,#blockchain [641] #fintech,#ai [519] #fintech,#finserv [500] #blockchain,#fintech [495] #fintech,#insurtech [490] #artificialintelligence,#machinelearning [483] mikequindazzi,gt [456] #blockchain,#crypto [453] #machinelearning,#deeplearning Top Word Pairs in Tweet in G1:
[2598] gt,gt [434] #artificialintelligence,#machinelearning [411] mikequindazzi,gt [400] #fintech,#finserv [399] #machinelearning,#deeplearning [375] #fintech,#ai [338] #ai,#artificialintelligence [336] #fintech,#insurtech [256] #insurtech,#fintech [245] #ai,#iot Top Word Pairs in Tweet in G2:
[112] #salonepagamenti,#payvolution [112] #fintech,#blockchain [73] #blockchain,#crypto [65] #mobile,#iot [65] #iot,#smart_city [65] #smart_city,#fintech [65] #fintech,#réseaux_sociaux [65] #réseaux_sociaux,#mosaiquedigitale [64] #fintech,#startup [60] #crypto,#cryptocurrency Top Word Pairs in Tweet in G3:
[88] #blockchain,#crypto [70] #payments,#btc [70] #cryptowallet,#cardpayments [69] #mbmtoken,#blockchain [69] #btc,#fintech [67] #xcard,#mbmtoken [67] #crypto,#payments [67] #fintech,#cryptowallet [40] #insurtech,#fintech [35] guidewire,#hiring Top Word Pairs in Tweet in G4:
[78] #regtech,#fintech [60] #fintech,#plumber [54] #fintech,#crypto [53] #fintech,#regtech [46] company,announcement [35] #plumber,#edtech [32] fintech,#fintech [32] #fintech,#financenews [32] #financenews,#banking [31] #banking,#fintech Top Word Pairs in Tweet in G5:
[285] gt,gt [126] #fintech,festival [125] africa,#fintech [86] #affug,#finclusionweek [72] #goldenmoneyteam,#agodgmt [47] mikequindazzi,gt [46] happening,now [45] #fintech,#trends [45] #trends,#technology [44] golden,money Top Word Pairs in Tweet in G6:
[262] #fintech,#blockchain [249] #ransomware,#hackers [245] #cybersecurity,#databreach [245] #databreach,#ransomware [242] #hackers,#infosec [242] #infosec,reach2ratan [242] reach2ratan,#ai [239] #malware,#cloud [239] #cloud,#cloudsecurity [237] #bigdata,#datascience Top Word Pairs in Tweet in G7:
[35] #regtech,#fintech [28] #fintech,#news [28] #news,#fintechinshorts [28] #fintechinshorts,#partnerships [28] #partnerships,#funding [26] regtech,top [26] top,100 [26] #funding,#bankingindustry [26] #bankingindustry,#banking [21] #fintech,#finserv Top Word Pairs in Tweet in G8:
[82] #fintech,#cryptocurrency [76] #crypto,#fintech [67] #cryptocurrency,#blockchain [65] #bitcoin,#dash [61] #blockchain,#bitcoin [48] dash,dashpay [39] #dash,dash [36] #stpifinblue,further [31] alert,time [31] time,2019 Top Word Pairs in Tweet in G9:
[174] #fintech,#startup [82] #settle,unpaid [80] unpaid,#debts [68] #collection,calls [63] sign,up [62] settleitsoft,helps [59] up,now [52] unpaid,debts [51] stop,#collection [47] #startup,#debtfree Top Word Pairs in Tweet in G10:
[19] check,out [18] listen,#finovatepodcast [18] #finovatepodcast,hosted [18] hosted,gregpalmer47 [18] gregpalmer47,available [18] available,#itunes [18] #itunes,favorite [18] favorite,listening [18] listening,platforms [18] platforms,check Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: