The graph represents a network of 3,712 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 Tuesday, 12 November 2019 at 17:18 UTC.
The requested start date was Monday, 11 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 14-hour, 51-minute period from Sunday, 10 November 2019 at 10:09 UTC to Monday, 11 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 : 3712
Unique Edges : 4785
Edges With Duplicates : 2530
Total Edges : 7315
Number of Edge Types : 3
Replies to : 117
Mentions : 4834
Tweet : 2364
Self-Loops : 2364
Reciprocated Vertex Pair Ratio : 0.0102731730095727
Reciprocated Edge Ratio : 0.0203374162237116
Connected Components : 1006
Single-Vertex Connected Components : 602
Maximum Vertices in a Connected Component : 1772
Maximum Edges in a Connected Component : 5206
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.521003
Graph Density : 0.000314114491864819
Modularity : 0.571346
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 3,712 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 Tuesday, 12 November 2019 at 17:18 UTC.
The requested start date was Monday, 11 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 14-hour, 51-minute period from Sunday, 10 November 2019 at 10:09 UTC to Monday, 11 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[385] gt,gt [192] #fintech,#banking [186] #fintech,#insurtech [160] singapore,fintech [147] fintech,festival [117] #vc,#fintech [114] #banking,#finserv [111] #fintech,#ai [90] mikequindazzi,gt [89] #blockchain,#fintech Top Word Pairs in Tweet in G1:
[40] gt,gt [29] #eft,#blockchain [28] #blockchain,#crypto [27] singapore,fintech [24] fintech,festival [20] #bitcoin,price [20] #crypto,#fintech [19] click,below [19] below,see [19] see,24 Top Word Pairs in Tweet in G2:
[290] gt,gt [150] #fintech,#insurtech [122] #fintech,#banking [102] #vc,#fintech [100] #banking,#finserv [72] #finance,#banks [68] mikequindazzi,gt [47] #finserv,#startup [45] #startup,#finance [44] #fintech,#ai Top Word Pairs in Tweet in G3:
[37] #fintech,#banking [21] singapore,fintech [19] fintech,festival [16] #crypto,#fintech [16] usd,2019 [16] 2019,11 [16] #btc,#bch [16] #bch,#xrp [15] #fintech,#trends [15] blockchain,radio Top Word Pairs in Tweet in G4:
[31] #leader,#accounting [28] gt,gt [23] #ml,#dl [23] #accounting,#audit [22] artificial,intelligence [22] #ai,#ml [22] ty,wef [20] wef,enricomolinari [19] businesses,help [19] help,reduce Top Word Pairs in Tweet in G5:
[61] largest,#fintech [58] singapore,fintech [55] fintech,festival [46] 11,13 [44] nov,11 [44] 13,sgfintechfest [44] sgfintechfest,largest [44] #fintech,event [44] event,asia [44] asia,join Top Word Pairs in Tweet in G6:
[31] tell,card [31] card,associations [31] associations,african [31] african,payments [30] asemota,tell [29] payments,group [29] group,visa [29] visa,paying [29] paying,200m [29] 200m,20 Top Word Pairs in Tweet in G7:
[17] #finserv,#banking [15] #fintech,#finserv [10] sale,ancora [10] ancora,il [10] il,valore [10] valore,della [10] della,finanza [10] finanza,decentralizzata [10] #eft,#blockchain [9] #startup,#innovazione Top Word Pairs in Tweet in G8:
[47] 2,2 [47] 2,6 [47] 6,ripple [47] ripple,nuscomputing [47] nuscomputing,launched [47] launched,nus [47] nus,fintech [47] fintech,lab [47] lab,singapore [47] singapore,7 Top Word Pairs in Tweet in G9:
[59] #bitcointrading,#cryptonews [59] #cryptonews,#ico [58] please,join [58] join,telegram [58] telegram,chat [58] chat,#bitcointrading [58] #ico,#fintech [57] nosturis1,please [6] digital,transformation [5] #fintech,#ai Top Word Pairs in Tweet in G10:
[21] hydrogenapi,hydrogen [20] hydrogen,booth [20] booth,#websummit [20] #websummit,packed [20] packed,day [20] day,8 [20] 8,hours [20] hours,straight [20] straight,talking [20] talking,#apis Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: