The graph represents a network of 2,141 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, 09 December 2022 at 13:39 UTC.
The requested start date was Friday, 09 December 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 6-day, 2-hour, 50-minute period from Friday, 02 December 2022 at 22:08 UTC to Friday, 09 December 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 : 2141
Unique Edges : 2692
Edges With Duplicates : 14274
Total Edges : 16966
Number of Edge Types : 5
Mentions : 4680
Retweet : 5079
MentionsInRetweet : 6045
Tweet : 1031
Replies to : 131
Self-Loops : 2015
Reciprocated Vertex Pair Ratio : 0.070855614973262
Reciprocated Edge Ratio : 0.132334581772784
Connected Components : 266
Single-Vertex Connected Components : 178
Maximum Vertices in a Connected Component : 1675
Maximum Edges in a Connected Component : 16285
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.324337
Graph Density : 0.00104894647011834
Modularity : 0.220303
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,141 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, 09 December 2022 at 13:39 UTC.
The requested start date was Friday, 09 December 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 6-day, 2-hour, 50-minute period from Friday, 02 December 2022 at 22:08 UTC to Friday, 09 December 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:
[2208] #datascientist,#csuite [2204] #csuite,#digitalhealth [2204] #digitalhealth,#web3 [2202] #ehealth,#finserv [2199] #healthtech,#smartcity [2199] #smartcity,#datascientist [2197] #web3,#cx [2197] #cx,#ehealth [2173] #finserv,#cloud [1338] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[380] #ehealth,#finserv [380] #csuite,#digitalhealth [380] #digitalhealth,#web3 [380] #datascientist,#csuite [379] #healthtech,#smartcity [378] #cx,#ehealth [378] #smartcity,#datascientist [378] #web3,#cx [372] #finserv,#cloud [369] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[1789] #datascientist,#csuite [1785] #digitalhealth,#web3 [1785] #csuite,#digitalhealth [1783] #ehealth,#finserv [1782] #smartcity,#datascientist [1781] #healthtech,#smartcity [1781] #cx,#ehealth [1781] #web3,#cx [1761] #finserv,#cloud [931] chidambara09,#healthtech Top Word Pairs in Tweet in G3:
[1075] #javascript,#reactjs [1057] #python,#iot [1045] #iot,#iiot [961] #iiot,#pytorch [795] #reactjs,#wordpress [709] #wordpress,#security [648] #security,#defi [622] #ad,#javascript [621] #pytorch,#ad [393] #fintech,#insurtech Top Word Pairs in Tweet in G4:
[22] saas,insurtech [22] virtual,sales [22] insurtech,hcm [22] sales,saas [15] manager,partner [15] success,virtual [15] account,manager [15] partner,success [12] telfar,bag [12] bag,70 Top Word Pairs in Tweet in G5:
[101] #insurtech,#datascience [97] #datascience,#ml [94] #ml,#dl [86] mikequindazzi,#insurtech [38] #cryptocurrencies,#machinelearning [37] cc,mikequindazzi [33] #machinelearning,#ai [27] #web3,#cx [27] #finserv,#cloud [27] #healthtech,#smartcity Top Word Pairs in Tweet in G6:
[39] #insurtech,#insurance [29] mandalore_minh,seedfounders [24] #insurance,#technology [16] seedfounders,insurtech_cap [15] #insurance,#insurtech [14] free,#insurtech [13] seedfounders,minh_q_tran [12] join,mikeatspice [12] mikeatspice,svia [11] low,code Top Word Pairs in Tweet in G7:
[11] 250,adhérents [10] #insurtech,#meetch [8] très,belle [8] tous,membres [8] merci,tous [8] cette,très [8] belle,communauté [8] merci,cette [8] membres,merci [8] communauté,insurtechf Top Word Pairs in Tweet in G8:
[21] mapa,#insurtech [14] tercer,mapa [10] 320,startups [10] #insurtech,320 [8] santalucía,impulsa [7] lanza,tercer [7] santalucia_imp,elreferente [6] startups,santalucia_imp [6] salimos,tercer [6] madeofgenes,salimos Top Word Pairs in Tweet in G9:
[15] data,usage [14] fintech,survey [13] survey,whitepaper [13] usage,barometer [13] bulk_infra,data [13] whitepaper,bulk_infra [8] full,whitepaper [8] #bulkfintech,#fintechbarometer [8] download,full [7] whitepaper,below Top Word Pairs in Tweet in G10:
[9] #fintech,#insurtech [6] #predictions,2023 [6] #cybersecurity,#predictions [6] 2023,#fintech [4] strategic,#cybersecurity [4] 10,strategic [4] deloitte,reveals [4] reveals,10 [4] #insurtech,#insurance [3] mclynd,missdkingsbury Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: