The graph represents a network of 2,075 Twitter users whose recent tweets contained "InsurTech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/16/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 17 March 2023 at 12:26 UTC.
The tweets in the network were tweeted over the 1943-day, 17-hour, 55-minute period from Sunday, 19 November 2017 at 06:05 UTC to Friday, 17 March 2023 at 00:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 2075
Unique Edges : 1980
Edges With Duplicates : 9960
Total Edges : 11940
Number of Edge Types : 9
Retweet : 2986
MentionsInRetweet : 4114
Mentions : 3218
Tweet : 951
Replies to : 201
MentionsInReplyTo : 338
MentionsInQuoteReply : 6
Quote : 34
MentionsInQuote : 92
Self-Loops : 2672
Reciprocated Vertex Pair Ratio : 0.0368839427662957
Reciprocated Edge Ratio : 0.0711438209138301
Connected Components : 265
Single-Vertex Connected Components : 171
Maximum Vertices in a Connected Component : 1450
Maximum Edges in a Connected Component : 10890
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.718
Graph Density : 0.000757746511600888
Modularity : 0.237797
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,075 Twitter users whose recent tweets contained "InsurTech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/16/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 17 March 2023 at 12:26 UTC.
The tweets in the network were tweeted over the 1943-day, 17-hour, 55-minute period from Sunday, 19 November 2017 at 06:05 UTC to Friday, 17 March 2023 at 00:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[1343] #healthtech,#smartcity [1336] #csuite,#digitalhealth [1336] #datascientist,#csuite [1334] #web3,#cx [1334] #digitalhealth,#web3 [1333] #vive2023,#healthtech [1169] #smartcity,#dataviz [1169] #dataviz,#datascientist [834] chidambara09,#vive2023 [714] #cx,#ehe Top Word Pairs in Tweet in G1:
[257] #healthtech,#smartcity [256] #dataviz,#datascientist [256] #smartcity,#dataviz [255] chidambara09,#vive2023 [255] #datascientist,#csuite [254] #web3,#cx [254] #digitalhealth,#web3 [254] #csuite,#digitalhealth [254] #vive2023,#healthtech [249] #cx,#ehe Top Word Pairs in Tweet in G2:
[1074] #healthtech,#smartcity [1070] #csuite,#digitalhealth [1069] #datascientist,#csuite [1068] #web3,#cx [1068] #digitalhealth,#web3 [1067] #vive2023,#healthtech [909] #dataviz,#datascientist [909] #smartcity,#dataviz [567] chidambara09,#vive2023 [556] #cx,#ehealth Top Word Pairs in Tweet in G3:
[23] sales,saas [23] insurtech,hcm [23] saas,insurtech [23] virtual,sales [15] success,virtual [15] partner,success [15] manager,partner [15] account,manager [9] ลล,ปไลฟ [9] insurtech,อ Top Word Pairs in Tweet in G4:
[155] 3rd,largest [155] largest,#fintech [155] india,world's [155] #fintech,market [155] digital,payments [155] fintech,unicorns [155] market,#us [155] 21,fintech [155] unicorns,digital [155] #us,#china Top Word Pairs in Tweet in G5:
[28] #fintech,#insurtech [15] global,group [15] reliance,global [13] #insurtech,#fintech [12] followreliance,reliance [11] group,announces [9] cover,genius [8] warranty,provider [8] innovative,interactive [8] events,banking Top Word Pairs in Tweet in G6:
[13] #fintech,#banking [13] #paytech,#ffnews [13] #banking,#paytech [11] customer,experience [9] infobip,#fintech [9] possono,potenziare [9] potenziare,customer [9] fintech,insurtech [9] insurtech,possono [9] insurtech,insights Top Word Pairs in Tweet in G8:
[22] #insurance,#insurtech [22] contini,marco [22] latest,contini [13] #insurtech,#inclusiveinsurance [13] #benewinsurance,#insurtech [12] #datascientist,#csuite [12] #digitalhealth,#web3 [12] #inclusiveinsurance,#insurance [12] #healthtech,#smartcity [12] #vive2023,#healthtech Top Word Pairs in Tweet in G9:
[25] #insurtech,#inclusiveinsurance [19] accelerator,program [18] bimalab,insurtech [15] insurtech,africa [15] africa,accelerator [15] #bimalab,#insurtech [12] fsdafrica,#bimalab [11] #inclusiveinsurance,#acceleratorprogram [11] #acceleratorprogram,#startup [11] #startup,#insurance Top Word Pairs in Tweet in G10:
[17] #insurance,#insurtech [13] daily,thanks [9] life,insurance [9] insurance,daily [8] insurtech,hartford [5] latest,retirement [5] hartford,daily [5] latest,trivantage [5] retirement,life [5] trivantage,daily Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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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: