The graph represents a network of 2,651 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, 26 August 2022 at 12:37 UTC.
The requested start date was Friday, 26 August 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 5-day, 2-hour, 52-minute period from Saturday, 20 August 2022 at 21:04 UTC to Thursday, 25 August 2022 at 23:57 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 : 2651
Unique Edges : 2929
Edges With Duplicates : 14213
Total Edges : 17142
Number of Edge Types : 5
Retweet : 5560
MentionsInRetweet : 7349
Tweet : 1010
Replies to : 45
Mentions : 3178
Self-Loops : 1501
Reciprocated Vertex Pair Ratio : 0.0458923512747875
Reciprocated Edge Ratio : 0.0877573131094258
Connected Components : 211
Single-Vertex Connected Components : 128
Maximum Vertices in a Connected Component : 2250
Maximum Edges in a Connected Component : 16527
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.5394
Graph Density : 0.00078831056988107
Modularity : 0.229685
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 2,651 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, 26 August 2022 at 12:37 UTC.
The requested start date was Friday, 26 August 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 5-day, 2-hour, 52-minute period from Saturday, 20 August 2022 at 21:04 UTC to Thursday, 25 August 2022 at 23:57 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:
[1187] #ehealth,#finserv [1175] #finserv,#cloud [1164] #healthtech,#datascientist [1160] #cloud,#insurtech [1136] #datascientist,#csuite [1136] #csuite,#digitalhealth [1130] #cx,#ehealth [1128] #digitalhealth,#web3 [1128] #web3,#cx [800] #aiethics,#machinelearning Top Word Pairs in Tweet in G1:
[1033] #ehealth,#finserv [1026] #healthtech,#datascientist [1023] #finserv,#cloud [1014] #cloud,#insurtech [998] #datascientist,#csuite [998] #csuite,#digitalhealth [993] #cx,#ehealth [992] #digitalhealth,#web3 [992] #web3,#cx [596] #aiethics,#machinelearning Top Word Pairs in Tweet in G2:
[314] #onelifeoneapp,#ubiqc [314] #ubiqc,#insurtech [314] #insurtech,#customerengagement [313] #customerengagement,#customerretention [313] #customerretention,#persistency [205] dive,insightful [205] insightful,conversation [205] conversation,chief [205] chief,sot [205] sot,girish Top Word Pairs in Tweet in G3:
[188] #aiethics,#machinelearning [174] #machinelearning,#python [158] #insurtech,#finserv [136] #python,#deeplearning [133] #ehealth,#finserv [132] #finserv,#cloud [130] #deeplearning,#lunc [128] #cloud,#insurtech [120] #healthtech,#datascientist [120] #datascientist,#csuite Top Word Pairs in Tweet in G4:
[63] #insurtech,#datascience [57] #datascience,#ml [56] mikequindazzi,#insurtech [44] #ml,#dl [27] #frauddetection,#deeplearning [27] #deeplearning,see [27] see,#fraudanalytics [27] #fraudanalytics,book [26] kirkdborne,#frauddetection [25] #insurance,#insurtech Top Word Pairs in Tweet in G5:
[95] #fintech,#insurtech [38] #insurtech,#vc [32] #tech,#fintech [32] #fintech,#finserv [29] #finserv,#ai [27] #insurtech,#insurance [27] #ai,#insurtech [23] #insurtech,#machinelearning [23] #machinelearning,#ml [19] #ml,#insurance Top Word Pairs in Tweet in G6:
[39] virtual,sales [39] sales,saas [39] saas,insurtech [39] insurtech,hcm [15] account,manager [14] manager,partner [14] partner,success [14] success,virtual [6] torii,industries [6] industries,blurring Top Word Pairs in Tweet in G7:
[25] #insurtech,#fintech [12] #innovation,#insurtech [11] #embeddedinsurance,expected [11] expected,722b [11] 722b,gwp [11] gwp,market [11] market,2030 [11] 2030,6x [11] 6x,according [11] according,simon Top Word Pairs in Tweet in G8:
[23] oscarhealth,cloverhealth [23] cloverhealth,mybrighthealth [23] mybrighthealth,need [23] need,raise [23] raise,#capital [23] #capital,sustain [23] sustain,businesses [15] #icymi,oscarhealth [14] modrnhealthcr,#icymi [13] businesses,avo Top Word Pairs in Tweet in G9:
[6] insuretechnow,itc [5] fineos,announces [5] announces,registration [5] registration,opened [5] opened,grouptech [5] grouptech,connect [5] connect,2022 [5] 2022,20 [5] 20,attendees [5] attendees,insuretechnow Top Word Pairs in Tweet in G10:
[55] क,म [29] म,ल [28] द,खन [28] खन,क [28] रह,ह [28] क,द [27] crypto,market [27] market,म [27] म,लग [27] लग,त Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
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: