The graph represents a network of 2,614 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, 25 November 2022 at 13:42 UTC.
The requested start date was Friday, 25 November 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 22-day, 13-hour, 52-minute period from Wednesday, 02 November 2022 at 11:05 UTC to Friday, 25 November 2022 at 00:58 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 : 2614
Unique Edges : 3469
Edges With Duplicates : 14912
Total Edges : 18381
Number of Edge Types : 5
Retweet : 5265
MentionsInRetweet : 7766
Tweet : 1384
Mentions : 3890
Replies to : 76
Self-Loops : 1656
Reciprocated Vertex Pair Ratio : 0.0557313642756681
Reciprocated Edge Ratio : 0.105578684429642
Connected Components : 423
Single-Vertex Connected Components : 293
Maximum Vertices in a Connected Component : 1885
Maximum Edges in a Connected Component : 17267
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.75749
Graph Density : 0.000879160199239223
Modularity : 0.247012
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,614 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, 25 November 2022 at 13:42 UTC.
The requested start date was Friday, 25 November 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 22-day, 13-hour, 52-minute period from Wednesday, 02 November 2022 at 11:05 UTC to Friday, 25 November 2022 at 00:58 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:
[1779] #iot,#iiot [1558] #iiot,#pytorch [1554] #python,#iot [1523] #javascript,#reactjs [1139] #pytorch,#ad [1112] #reactjs,#wordpress [1097] #ad,#javascript [909] #wordpress,#security [891] #security,#defi [694] #machinelearning,#ai Top Word Pairs in Tweet in G1:
[1463] #iot,#iiot [1419] #iiot,#pytorch [1415] #python,#iot [1390] #javascript,#reactjs [1036] #pytorch,#ad [1003] #ad,#javascript [998] #reactjs,#wordpress [801] #wordpress,#security [783] #security,#defi [585] #machinelearning,#ai Top Word Pairs in Tweet in G2:
[182] #fintech,#marketing [168] #finserv,#fintech [143] #fintech,#insurtech [138] #iot,#iiot [134] #iiot,#pytorch [134] #python,#iot [129] #javascript,#reactjs [111] #reactjs,#wordpress [105] #security,#defi [105] #wordpress,#security Top Word Pairs in Tweet in G3:
[348] #datascientist,#csuite [346] #cx,#ehealth [346] #web3,#cx [346] #digitalhealth,#web3 [346] #csuite,#digitalhealth [342] #finserv,#cloud [341] #ehealth,#finserv [339] #healthtech,#datascientist [185] #cloud,#insurtech [176] #iot,#iiot Top Word Pairs in Tweet in G4:
[12] fintech,insurtech [10] sanlam,mtn [9] insurtech,platform [9] insurtech,industry [9] groupâ,insurtech [9] mtn,groupâ [8] insurance,industry [8] dulce,sector [8] momento,dulce [8] software,developer Top Word Pairs in Tweet in G5:
[42] #insurtech,#insurance [36] #insurance,#technology [35] #insurance,#insurtech [34] mandalore_minh,seedfounders [30] 50,global [29] global,thought [29] top,50 [29] thought,leaders [28] 2022,feat [28] leaders,influencers Top Word Pairs in Tweet in G6:
[94] #fintech,#insurtech [43] #fintech,#insurance [33] #insurtech,#insurance [29] #insurance,#insurtech [26] #insurtech,#vc [20] #insurtech,#fintech [19] #digitalhealth,#fintech [18] #cybersecurity,#fintech [17] #future,#digitalhealth [17] emotion,#ai Top Word Pairs in Tweet in G7:
[87] #insurtech,#datascience [83] #datascience,#ml [80] mikequindazzi,#insurtech [75] #ml,#dl [22] cc,mikequindazzi [21] machine,learning [13] learning,cc [12] antgrasso,mikequindazzi [11] part2,machine [10] artificial,intelligence Top Word Pairs in Tweet in G8:
[9] #fintech,#insurtech [5] europa,sponsor [5] hemos,montado [5] reserva,antes [5] growth,#fintech [5] festival,#startup [5] ponentes,reserva [5] sponsor,speaker [5] #startup,#insurtech [5] formar,mayor Top Word Pairs in Tweet in G9:
[2] karanjamungai,dabarsm [2] gabrieltalent_,gputopnews [2] gputopnews,guvnormedia_ [2] denizdenzo,laurobeck [2] matthewriches1,karanjamungai [2] chef_rainer,michellequinn [2] streamlyzer,matthewriches1 [2] laurobeck,streamlyzer [2] dabarsm,chef_rainer Top Word Pairs in Tweet in G10:
[16] #insurtech,#fintech [14] #insurance,#technology [13] #insurtech,#rpa [13] #claims,quickly [13] canadian,underwriter [12] #insurance,#insurtech [11] #insurance,industry [11] #futureofclaims,#insurtech [11] #insurtech,#futureofclaims [10] #claims,processing Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: