The graph represents a network of 4,283 Twitter users whose tweets in the requested range contained "fintech ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 18 May 2020 at 16:24 UTC.
The requested start date was Monday, 18 May 2020 at 00:01 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 1-day, 7-hour, 54-minute period from Saturday, 16 May 2020 at 16:03 UTC to Sunday, 17 May 2020 at 23:58 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 : 4283
Unique Edges : 3917
Edges With Duplicates : 8141
Total Edges : 12058
Number of Edge Types : 5
Retweet : 3044
MentionsInRetweet : 4571
Tweet : 1778
Mentions : 2513
Replies to : 152
Self-Loops : 1974
Reciprocated Vertex Pair Ratio : 0.0242726803236357
Reciprocated Edge Ratio : 0.0473949579831933
Connected Components : 904
Single-Vertex Connected Components : 527
Maximum Vertices in a Connected Component : 2278
Maximum Edges in a Connected Component : 8953
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.509271
Graph Density : 0.000324430912737027
Modularity : 0.434496
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 4,283 Twitter users whose tweets in the requested range contained "fintech ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 18 May 2020 at 16:24 UTC.
The requested start date was Monday, 18 May 2020 at 00:01 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 1-day, 7-hour, 54-minute period from Saturday, 16 May 2020 at 16:03 UTC to Sunday, 17 May 2020 at 23:58 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 : 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[534] gt,gt [281] weeks,one [279] cousins,25 [279] 25,30 [279] 30,last [279] last,weeks [279] one,sacked [279] sacked,travel [279] travel,agency [279] agency,due Top Word Pairs in Tweet in G1:
[390] gt,gt [78] #fintech,#ai [77] #fintech,#insurtech [73] mikequindazzi,gt [71] #ai,#iot [51] gt,#pwc [48] #pwc,mikequindazzi [46] #iot,#bigdata [41] #ai,#artificialintelligence [39] gt,#ai Top Word Pairs in Tweet in G2:
[59] german,bank [52] bank,partners [51] singapore,fintech [51] fintech,consortium [50] partners,singapore [49] consortium,blockchain [12] click,below [12] below,see [12] see,24 [12] 24,hour Top Word Pairs in Tweet in G3:
[85] #iot,#digital [83] #ar,#vr [82] such,smart [82] smart,use [82] use,#augmentedreality [82] enricomolinari,#ar [81] #digital,#openbanking [81] #openbanking,#finserv [80] #augmentedreality,enricomolinari [80] #finserv,#payments Top Word Pairs in Tweet in G4:
[279] cousins,25 [279] 25,30 [279] 30,last [279] last,weeks [279] weeks,one [279] one,sacked [279] sacked,travel [279] travel,agency [279] agency,due [279] due,business Top Word Pairs in Tweet in G5:
[50] #goldenmoneyteam,#agodgmt [45] golden,money [45] money,team [45] team,presents [31] guidewire,#hiring [31] #insurtech,#fintech [27] #fintech,#tweetmyjobs [25] agodgmt,golden [21] alert,troydonte93 [19] music,alert Top Word Pairs in Tweet in G6:
[74] gt,gt [64] read,more [55] published,fintech [52] fintech,zoom [42] #investincrypto,#defstar5 [42] #defstar5,#fintech [42] #fintech,#digitalart [42] #digitalart,#btc [40] #investwithoropocket,#investincrypto [28] daps,#daps Top Word Pairs in Tweet in G7:
[50] german,bank [50] weg,bank [50] bank,plans [50] plans,leverage [50] leverage,partnership [50] partnership,anquan [50] anquan,crack [50] crack,asia [50] asia,crypto [50] crypto,custody Top Word Pairs in Tweet in G8:
[37] #iot,#bigdata [22] #tech,#technology [21] #bigdata,#internetofthings [19] #internetofthings,#tech [16] 34,disruptive [16] disruptive,#technologies [16] #technologies,ztudium [16] ztudium,intelligenthq [16] intelligenthq,dinisguarda [16] dinisguarda,#iot Top Word Pairs in Tweet in G9:
[18] cynthia_lardner,zapp12347 [16] malekalby,heroldbarton [13] bootsieboutique,malekalby [12] #yourmustread,#influencerpromotion [12] zapp12347,grazytgrazynatt [12] heroldbarton,cynthia_lardner [9] cybersecurity,#promoedutech [9] #fintech,#ai [8] #influencerpromotion,#topcasestudy [8] grazytgrazynatt,influencerprom1 Top Word Pairs in Tweet in G10:
[54] gt,gt [13] mikequindazzi,gt [10] #ai,#robotics [10] #supplychain,gt [10] gt,igd_events [10] igd_events,mikequindazzi [10] #fintech,#machinelearning [8] #sell,crisil [8] crisil,ltd [8] ltd,rs Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G6:
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Top Replied-To in G9:
Top Replied-To in G10:
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 G5:
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Top Tweeters in G9:
Top Tweeters in G10: