The graph represents a network of 2,392 Twitter users whose tweets in the requested range contained "InsurTech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 10 April 2020 at 11:33 UTC.
The requested start date was Friday, 10 April 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 3-day, 21-hour, 58-minute period from Monday, 06 April 2020 at 02:01 UTC to Thursday, 09 April 2020 at 23:59 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 : 2392
Unique Edges : 4234
Edges With Duplicates : 3555
Total Edges : 7789
Number of Edge Types : 4
MentionsInRetweet : 5053
Mentions : 1123
Tweet : 1559
Replies to : 54
Self-Loops : 1559
Reciprocated Vertex Pair Ratio : 0.0346162605329082
Reciprocated Edge Ratio : 0.0669161347127449
Connected Components : 449
Single-Vertex Connected Components : 304
Maximum Vertices in a Connected Component : 1662
Maximum Edges in a Connected Component : 6823
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.955073
Graph Density : 0.000794331866013716
Modularity : 0.42879
NodeXL Version : 1.0.1.430
Data Import : The graph represents a network of 2,392 Twitter users whose tweets in the requested range contained "InsurTech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 10 April 2020 at 11:33 UTC.
The requested start date was Friday, 10 April 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 3-day, 21-hour, 58-minute period from Monday, 06 April 2020 at 02:01 UTC to Thursday, 09 April 2020 at 23:59 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 : InsurTech
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:
[1112] #fintech,#insurtech [439] #insurtech,#fintech [170] #insurtech,#startup [165] covid,19 [162] #ai,#fintech [143] #insurance,#insurtech [134] gt,gt [129] guidewire,#hiring [122] good,read [116] spirosmargaris,good Top Word Pairs in Tweet in G1:
[420] #fintech,#insurtech [185] #insurtech,#fintech [100] #insurtech,#startup [81] #fintech,#finserv [74] #startup,#innovation [73] #bitcoin,defi [73] defi,displace [73] displace,#banks [73] #banks,ty [73] ty,dailyfintech Top Word Pairs in Tweet in G2:
[36] covid,19 [36] #insurance,#insurtech [32] #fintech,#insurtech [13] insurtech,companies [12] #innovation,#insurtech [10] daily,#fintech [9] #insurtech,#fintech [9] business,interruption [8] top,10 [8] cyber,insurance Top Word Pairs in Tweet in G3:
[369] #fintech,#insurtech [64] #ai,#fintech [61] good,read [52] spirosmargaris,good [46] #insurtech,#fintech [43] #insurtech,#vc [40] #startups,#fintech [40] #insurtech,#ai [37] #insurtech,#artificialintelligence [36] #insurtech,#startup Top Word Pairs in Tweet in G4:
[36] covid,19 [31] #insurtech,#fintech [23] #fintech,#insurtech [20] #insurance,#insurtech [15] interesting,welcome [15] welcome,move [15] move,allstate [15] allstate,amfam [15] amfam,refund [15] refund,auto Top Word Pairs in Tweet in G5:
[135] #insurtech,#fintech [124] guidewire,#hiring [101] #fintech,#tweetmyjobs [77] #tweetmyjobs,#jobopening [62] #jobopening,#jobs [49] tektok,milanjugovic [44] ishnae,guidewire [42] vesuvio,labs [40] current,crisis [39] fgraillot,great Top Word Pairs in Tweet in G6:
[71] gt,gt [42] use,cases [42] cases,infographic [34] infographic,#fintech [34] #fintech,#insurtech [31] #blockchain,capital [31] capital,markets [31] markets,use [30] #fintech,#analytics [29] mikequindazzi,antgrasso Top Word Pairs in Tweet in G7:
[10] #fintech,#insurtech [10] covid,19 [9] big,news [9] submitted,bafin [8] #insurtech,hellogetsafe [8] application,#insurance [7] news,hellogetsafe [7] hellogetsafe,becoming [7] becoming,licensed [7] licensed,insurance Top Word Pairs in Tweet in G8:
[62] #fintech,#insurtech [40] #artificialintelligence,#ai [36] 20,years [29] #ai,#fintech [23] #fintech,#iot [21] #iot,#robots [18] last,20 [18] years,software [18] software,ate [18] ate,world Top Word Pairs in Tweet in G9:
[64] #fintech,#insurtech [51] #ml,#dl [47] cybersecurity,eccouncil [46] role,ai [46] ai,cybersecurity [46] eccouncil,#fintech [46] #insurtech,#ml [46] #dl,#algorithms [46] #algorithms,#cybersecurity [45] ianljones98,role Top Word Pairs in Tweet in G10:
[51] building,home [51] home,insurance [50] insurance,product [48] spirit,time [48] time,cat [48] cat,bag [48] bag,ve [48] ve,secretly [48] secretly,building [45] weareherolabs,spirit 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 G7:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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: