The graph represents a network of 4,281 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, 02 December 2019 at 19:43 UTC.
The requested start date was Monday, 02 December 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 1-day, 11-hour, 32-minute period from Saturday, 30 November 2019 at 01:06 UTC to Sunday, 01 December 2019 at 12:38 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 : 4281
Unique Edges : 6374
Edges With Duplicates : 3178
Total Edges : 9552
Number of Edge Types : 3
Tweet : 2018
Mentions : 7336
Replies to : 198
Self-Loops : 2018
Reciprocated Vertex Pair Ratio : 0.0194034637588198
Reciprocated Edge Ratio : 0.0380682711971056
Connected Components : 896
Single-Vertex Connected Components : 500
Maximum Vertices in a Connected Component : 2179
Maximum Edges in a Connected Component : 7013
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.633793
Graph Density : 0.00034694706232931
Modularity : 0.570536
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,281 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, 02 December 2019 at 19:43 UTC.
The requested start date was Monday, 02 December 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 1-day, 11-hour, 32-minute period from Saturday, 30 November 2019 at 01:06 UTC to Sunday, 01 December 2019 at 12:38 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:
[683] gt,gt [153] mikequindazzi,gt [134] #fintech,#insurtech [96] #fintech,#ai [90] gt,#ai [89] #fintech,#banking [80] #fintech,#blockchain [79] #ai,#machinelearning [79] ties,between [79] between,#taiwan Top Word Pairs in Tweet in G1:
[601] gt,gt [137] mikequindazzi,gt [85] #fintech,#insurtech [84] gt,#ai [66] gt,mikequindazzi [66] #ai,#machinelearning [59] #iot,#bigdata [51] #iot,economic [51] 11,trillion [51] trillion,2025 Top Word Pairs in Tweet in G2:
[24] #mobile,#iot [24] #iot,#smart_city [24] #smart_city,#fintech [24] #fintech,#réseaux_sociaux [24] #réseaux_sociaux,#mosaiquedigitale [17] black,friday [16] fintech,company [14] click,below [14] below,see [14] see,24 Top Word Pairs in Tweet in G3:
[27] #fintech,#ai [23] #fintech,#banking [21] #banking,#finserv [18] #fintech,#insurtech [18] #fintech,#startup [16] brettking,leimer [16] leimer,psb_dc [16] psb_dc,ipfconline1 [15] #fintech,#blockchain [13] good,read Top Word Pairs in Tweet in G4:
[26] #insurtech,#fintech [23] #fintech,#finserv [22] well,done [22] planet,compliance [22] compliance,top [22] top,50 [22] 50,regtech [19] guidewire,#hiring [19] #fintech,#tweetmyjobs [19] regtech,influencers Top Word Pairs in Tweet in G5:
[23] #fintech,#banking [19] cynthia_lardner,masao__tanaka [17] masao__tanaka,_____yoyo [17] _____yoyo,malekalby [15] malekalby,grazytgrazynatt [14] edward733,wanderingstarz1 [14] #fintech,#cybersecurity [12] #blockchain,#fintech [12] grazytgrazynatt,_____yo____ [10] wanderingstarz1,cynthia_lardner Top Word Pairs in Tweet in G6:
[16] well,done [16] planet,compliance [16] compliance,top [16] top,50 [16] 50,regtech [14] #fintech,#startup [13] future,money [13] money,article [13] week's,planet [10] digital,transformation Top Word Pairs in Tweet in G7:
[79] ties,between [79] between,#taiwan [79] #taiwan,#france [79] #france,range [79] range,fine [79] fine,wines [79] wines,fintech [79] fintech,pleasure [79] pleasure,meet [79] meet,french Top Word Pairs in Tweet in G8:
[11] won,award [11] award,best [11] best,innovation [11] innovation,wealth [11] wealth,management [11] management,#indiafintechawards [11] #indiafintechawards,nominated [10] vasanthkamath,won [10] nominated,alongs [8] #indiafintechawards,2019 Top Word Pairs in Tweet in G9:
[12] 10,#fintech [12] #fintech,influencers [12] influencers,follow [12] follow,further [12] further,career [12] career,peter [12] peter,oakes [12] oakes,oakeslaw [12] oakeslaw,founded [12] founded,fintechireland Top Word Pairs in Tweet in G10:
[56] gt,gt [26] chainofthings,#iot [25] #iot,#security [25] #security,meets [25] meets,#blockchain [20] gp_pulipaka,unblocked [20] unblocked,#blockchain [17] #bigdata,#analytics [16] #fintech,#cryptocurrency [16] #cryptocurrency,#dlt Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
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:
Top Mentioned in G7:
Top Mentioned in G8:
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: