The graph represents a network of 8,586 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 Friday, 26 November 2021 at 16:41 UTC.
The tweets in the network were tweeted over the 2-day, 2-hour, 11-minute period from Wednesday, 24 November 2021 at 11:51 UTC to Friday, 26 November 2021 at 14:03 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 : 8586
Unique Edges : 24753
Edges With Duplicates : 26818
Total Edges : 51571
Number of Edge Types : 5
Retweet : 10604
MentionsInRetweet : 27700
Mentions : 7313
Tweet : 5374
Replies to : 580
Self-Loops : 5653
Reciprocated Vertex Pair Ratio : 0.0406680176088324
Reciprocated Edge Ratio : 0.0781575236688377
Connected Components : 1230
Single-Vertex Connected Components : 738
Maximum Vertices in a Connected Component : 6224
Maximum Edges in a Connected Component : 48297
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.376186
Graph Density : 0.000404092696851384
Modularity : 0.387805
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,586 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 Friday, 26 November 2021 at 16:41 UTC.
The tweets in the network were tweeted over the 2-day, 2-hour, 11-minute period from Wednesday, 24 November 2021 at 11:51 UTC to Friday, 26 November 2021 at 14:03 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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1800] #fintech,#insurtech [1404] #binance,#bnb [1394] #fintech,#blockchain [1235] #cryptocurrencies,#fintech [1173] #blockchain,#cryptocurrency [1144] #crypto,#binance [1124] #blockchain,#crypto [1117] #bitcoin,#money [1108] #money,#crypto [1104] #bnb,#cryptocurrencies Top Word Pairs in Tweet in G1:
[1215] #fintech,#blockchain [1199] #fintech,#insurtech [871] #blockchain,#crypto [846] #cardano,ada [846] ada,whale [846] whale,laced [846] laced,transaction [846] transaction,output [846] usd,tx [846] tx,info Top Word Pairs in Tweet in G2:
[585] #fintech,#insurtech [439] #ai,#machinelearning [278] gvalan,shi4tech [261] shi4tech,pawlowskimario [260] #machinelearning,#deeplearning [259] #deeplearning,#fintech [258] pawlowskimario,haroldsinnott [248] #insurtech,#finserv [230] #fintech,#finserv [213] #artificialintelligence,#machinelearning Top Word Pairs in Tweet in G3:
[179] #cryptocurrencies,#fintech [177] #blockchain,#cryptocurrency [176] #crypto,#binance [174] #bitcoin,#money [173] #money,#crypto [172] #binance,#bnb [172] #bnb,#cryptocurrencies [169] #cryptocurrency,#technology [169] #technology,#bitcoin [123] #wapswap,#wap Top Word Pairs in Tweet in G4:
[772] #cryptocurrencies,#fintech [701] #binance,#bnb [700] #blockchain,#cryptocurrency [692] #crypto,#binance [675] #bitcoin,#money [668] #money,#crypto [663] #technology,#bitcoin [658] #cryptocurrency,#technology [657] #bnb,#cryptocurrencies [519] #wapswap,#wap Top Word Pairs in Tweet in G5:
[412] #fintech,#defi [292] ada,trx [247] #cryptocurrency,#crypto [247] #crypto,#cryptocurrencynews [247] #cryptocurrencynews,#blockchain [247] #blockchain,#fintech [247] #defi,#altcoin [247] #altcoin,kda [247] kda,sol [247] sol,trx Top Word Pairs in Tweet in G6:
[74] fintech,policy [67] #fintech,city [62] need,emphasize [62] emphasize,fintech [62] fintech,initiatives [62] initiatives,state [62] state,#tamilnadu [62] #tamilnadu,setting [62] setting,#fintech [62] city,fintech Top Word Pairs in Tweet in G7:
[68] #dataanalytics,#bigdata [68] #cio,#cto [66] #machinelearning,#python [66] #cto,#womeninstem [66] #womeninstem,#fintech [56] #datascience,#100daysofcode [42] #ai,#datascience [39] 10,use [39] use,cases [39] cases,#deeplearning Top Word Pairs in Tweet in G8:
[203] #liveconnect,#ileads [203] #experience,#results [203] #results,#fintech [203] #fintech,#proptech [203] #proptech,#realestatetech [203] #realestatetech,#creditleads [201] #ileads,#revive [201] #analytics,#experience [199] #hottransfer,#nextgen [199] #nextgen,#analytics Top Word Pairs in Tweet in G9:
[26] abu,dhabi [20] #abudhabi,#fintech [20] dhabi,2021 [19] #ftad2021,#adgm [17] fintech,abu [17] #fintech,#blockchain [11] #adgm,#abudhabi [10] #fintech,adglobalmarket [9] #adgm,#fintechnews [9] #fintechnews,#abudhabi Top Word Pairs in Tweet in G10:
[66] make,right [66] right,investment [66] investment,today [66] today,fruitful [66] fruitful,tomorrow [66] tomorrow,download [66] download,mobikwik [66] mobikwik,app [66] app,#mutualfund [66] #mutualfund,#mf Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Replied-To in G7:
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 G6:
Top Mentioned in G7:
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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: