The graph represents a network of 4,613 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, 25 November 2019 at 18:37 UTC.
The requested start date was Monday, 25 November 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 2-day, 21-hour, 16-minute period from Friday, 22 November 2019 at 03:45 UTC to Monday, 25 November 2019 at 01:01 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 : 4613
Unique Edges : 7153
Edges With Duplicates : 3268
Total Edges : 10421
Number of Edge Types : 3
Tweet : 1968
Mentions : 8275
Replies to : 178
Self-Loops : 1968
Reciprocated Vertex Pair Ratio : 0.0264183629276743
Reciprocated Edge Ratio : 0.0514767932489451
Connected Components : 988
Single-Vertex Connected Components : 548
Maximum Vertices in a Connected Component : 2616
Maximum Edges in a Connected Component : 8055
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.685466
Graph Density : 0.000334192614145814
Modularity : 0.578177
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,613 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, 25 November 2019 at 18:37 UTC.
The requested start date was Monday, 25 November 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 2-day, 21-hour, 16-minute period from Friday, 22 November 2019 at 03:45 UTC to Monday, 25 November 2019 at 01:01 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:
[720] gt,gt [149] mikequindazzi,gt [128] #fintech,#ai [127] #ai,#machinelearning [121] #fintech,#insurtech [120] #fintech,#finserv [112] financial,services [96] #fintech,#banking [95] #ai,#fintech [95] #blockchain,#fintech Top Word Pairs in Tweet in G1:
[136] gt,gt [100] #fintech,#insurtech [70] #ai,#machinelearning [70] #fintech,#finserv [65] #fintech,#ai [43] #ai,#fintech [39] #fintech,#banking [39] use,cases [38] #banking,#fintech [38] world,#ai Top Word Pairs in Tweet in G2:
[29] financial,services [27] click,below [27] below,see [27] see,24 [27] 24,hour [27] price,prediction [27] prediction,beta [27] beta,comment [27] comment,below [22] gt,gt Top Word Pairs in Tweet in G3:
[25] #fintech,#banking [23] #insurtech,#fintech [23] guidewire,#hiring [20] #crypto,#fintech [19] #fintech,#tweetmyjobs [17] gt,gt [17] #tweetmyjobs,#jobopening [16] #finserv,#banking [16] #jobopening,#jobs [16] #eft,#blockchain Top Word Pairs in Tweet in G4:
[497] gt,gt [110] mikequindazzi,gt [56] gt,#ai [48] ty,techinsider [48] techinsider,enricomolinari [44] google's,#deepmind [44] #deepmind,#ai [44] #ai,teaching [44] teaching,itself [44] itself,walk Top Word Pairs in Tweet in G5:
[23] #influencerpromotion,#topcasestudy [16] #yourmustread,#influencerpromotion [15] iam,platform [15] platform,curated [15] curated,retweet [12] #topcasestudy,#cybersecurity [12] itakethelead,365surmarius [12] 365surmarius,themrblueprint [12] themrblueprint,mrkmrkmoh [12] mrkmrkmoh,mariussou Top Word Pairs in Tweet in G6:
[5] #blockchain,#fintech [5] looking,little [5] little,weekend [5] weekend,#fintech [5] #fintech,listening [5] listening,check [5] check,11fs [5] 11fs,#afterdarknyc [5] #afterdarknyc,podcast [5] podcast,probably Top Word Pairs in Tweet in G7:
[30] #fintech,#startup [23] #blockchain,#fintech [14] #business,#startup [14] #crypto,#blockchain [13] #ml,#dl [12] #fintech,#altcoin [12] #altcoin,#finance [11] #startups,#fintech [11] #settle,unpaid [11] unpaid,#debts Top Word Pairs in Tweet in G8:
[31] #crypto,#fintech [29] network,currently [29] currently,searching [29] searching,31 [29] 31,gp [29] gp,trillion [29] trillion,prime [29] prime,numbers [29] numbers,second [29] second,solution Top Word Pairs in Tweet in G9:
[18] pleased,welcome [15] biggest,fintech [15] #indiafintechawards,2019 [14] industry,pioneers [14] pioneers,fintech [14] fintech,experts [14] experts,well [14] well,enthusiasts [14] enthusiasts,come [14] come,together Top Word Pairs in Tweet in G10:
[24] inclusión,financiera [22] hoy,escribí [22] escribí,lanacion [22] lanacion,fintech [22] fintech,herramienta [22] herramienta,inclusión [22] financiera,fintech [21] santiagobulat,hoy [8] milagro,fintech [8] común,gente Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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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 G6:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: