The graph represents a network of 6,958 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, 03 February 2022 at 03:55 UTC.
The tweets in the network were tweeted over the 1-day, 6-hour, 40-minute period from Tuesday, 01 February 2022 at 20:57 UTC to Thursday, 03 February 2022 at 03:37 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 : 6958
Unique Edges : 19599
Edges With Duplicates : 26412
Total Edges : 46011
Number of Edge Types : 5
Retweet : 12311
MentionsInRetweet : 21819
Tweet : 4512
Replies to : 1620
Mentions : 5749
Self-Loops : 4753
Reciprocated Vertex Pair Ratio : 0.0457257346393589
Reciprocated Edge Ratio : 0.0874526333716524
Connected Components : 1124
Single-Vertex Connected Components : 656
Maximum Vertices in a Connected Component : 4437
Maximum Edges in a Connected Component : 42300
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.780523
Graph Density : 0.000485200366246019
Modularity : 0.380796
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,958 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, 03 February 2022 at 03:55 UTC.
The tweets in the network were tweeted over the 1-day, 6-hour, 40-minute period from Tuesday, 01 February 2022 at 20:57 UTC to Thursday, 03 February 2022 at 03:37 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:
[5300] #fintech,#insurtech [3716] #iot,#iiot [3537] #javascript,#reactjs [3479] #mlops,#flutter [3464] #flutter,#html [3454] #html,#azure [3414] #insurtech,#ai [3348] #datavis,#infosec [3307] #reactjs,#wordpress [3300] #wordpress,#security Top Word Pairs in Tweet in G1:
[399] #fintech,#insurtech [326] #fintech,#finserv [193] #machinelearning,#deeplearning [184] #insurtech,#insurance [182] spirosmargaris,sallyeaves [166] #fintech,#marketing [158] pierrepinna,spirosmargaris [158] sallyeaves,nicochan33 [153] #python,#javascript [150] #coding,#tensorflow Top Word Pairs in Tweet in G2:
[4826] #fintech,#insurtech [3674] #iot,#iiot [3508] #javascript,#reactjs [3455] #mlops,#flutter [3440] #flutter,#html [3430] #html,#azure [3366] #insurtech,#ai [3324] #datavis,#infosec [3283] #reactjs,#wordpress [3278] #infosec,#devops Top Word Pairs in Tweet in G3:
[127] #technology,#bitcoin [127] #bitcoin,#money [123] #binance,#bnb [119] #blockchain,#cryptocurrency [118] #cryptocurrency,#technology [117] #money,#crypto [114] #crypto,#binance [114] #bnb,#cryptocurrencies [114] #cryptocurrencies,#fintech [57] #vlr,#blockchain Top Word Pairs in Tweet in G4:
[1709] #fintech,#blockchain [1667] #cardano,ada [1667] ada,whale [1667] whale,laced [1667] laced,transaction [1667] transaction,output [1667] usd,tx [1667] tx,info [1667] info,support [1667] support,stake Top Word Pairs in Tweet in G5:
[389] #xrp,#fintech [372] #fintech,#crypto [345] satoshi,nakamoto [345] nakamoto,creator [345] creator,bitcoin [345] bitcoin,2009 [345] 2009,ripple [345] ripple,system [345] system,something [345] something,trust Top Word Pairs in Tweet in G6:
[22] #nfts,#fintech [21] bird,sing [21] sing,answer [21] answer,sings [21] sings,song [21] song,ancient [21] ancient,chinese [21] chinese,proverb [21] proverb,opensea [21] opensea,#nfts Top Word Pairs in Tweet in G7:
[179] #btc,#eth [175] breaking,nasdaq [175] nasdaq,banxaofficial [175] banxaofficial,makes [175] makes,money [175] money,voltality [175] voltality,#crypto [175] #crypto,#bitcoin [175] #bitcoin,#luna [175] #luna,#solana Top Word Pairs in Tweet in G8:
[136] #blockchain,#fintech [83] #xrpaynet,#xrp [83] #xrp,#xrparmy [83] #bitcoin,#crypto [83] #crypto,#cryptocurrency [83] #cryptocurrency,#blockchain [83] #fintech,#xrpnews [83] #xrpnews,#cryptonews [83] #cryptonews,#defi [83] #defi,#xrpledger Top Word Pairs in Tweet in G9:
[14] #crypto,#cryptocurrency [12] george,barrow [12] co,#fundmanager [12] #polr,global [10] #trading,#investing [10] #fintech,#finance [8] see,chart [8] chart,key [8] key,above [8] above,cloud Top Word Pairs in Tweet in G10:
[42] #fintech,#paytech [42] #paytech,#ffnews [26] march,22 [26] 22,24 [23] virtual,meetings [22] analisi,2022 [22] dalla,chiusura [22] performance,ytd [22] performance,anno [22] #trading,#fintech Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: