The graph represents a network of 2,057 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, 16 December 2022 at 13:40 UTC.
The requested start date was Friday, 16 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 5-day, 15-hour, 41-minute period from Saturday, 10 December 2022 at 09:19 UTC to Friday, 16 December 2022 at 01:00 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 : 2057
Unique Edges : 2497
Edges With Duplicates : 12220
Total Edges : 14717
Number of Edge Types : 5
Retweet : 4628
MentionsInRetweet : 5145
Tweet : 1666
Mentions : 3199
Replies to : 79
Self-Loops : 2764
Reciprocated Vertex Pair Ratio : 0.0535203949077682
Reciprocated Edge Ratio : 0.101602959309494
Connected Components : 315
Single-Vertex Connected Components : 244
Maximum Vertices in a Connected Component : 1557
Maximum Edges in a Connected Component : 14062
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.351023
Graph Density : 0.000958811990564628
Modularity : 0.212479
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,057 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, 16 December 2022 at 13:40 UTC.
The requested start date was Friday, 16 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 5-day, 15-hour, 41-minute period from Saturday, 10 December 2022 at 09:19 UTC to Friday, 16 December 2022 at 01:00 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:
[2814] #healthtech,#smartcity [2814] #datascientist,#csuite [2813] #web3,#cx [2813] #csuite,#digitalhealth [2813] #digitalhealth,#web3 [2811] #smartcity,#datascientist [2787] #cx,#ehealth [2776] #ehealth,#finserv [2281] #finserv,#cloud [1727] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[404] #csuite,#digitalhealth [404] #cx,#ehealth [404] #healthtech,#smartcity [404] #digitalhealth,#web3 [404] #web3,#cx [404] #datascientist,#csuite [403] #smartcity,#datascientist [401] #ehealth,#finserv [395] chidambara09,#healthtech [394] #finserv,#cloud Top Word Pairs in Tweet in G2:
[2301] #datascientist,#csuite [2301] #healthtech,#smartcity [2300] #web3,#cx [2300] #digitalhealth,#web3 [2300] #csuite,#digitalhealth [2299] #smartcity,#datascientist [2274] #cx,#ehealth [2266] #ehealth,#finserv [1780] #finserv,#cloud [1225] chidambara09,#healthtech Top Word Pairs in Tweet in G3:
[20] insurtech,oyster [19] oyster,raises [15] raises,million [12] london,based [10] leading,insurtech [9] insurtech,leaders [9] fintech,insurtech [8] bondaval,london [8] insurtech,italiana [8] figures,2022 Top Word Pairs in Tweet in G4:
[200] #cryptocurrencies,#machinelearning [186] #machinelearning,#ai [154] #ai,#python [99] #python,#deeplearning [79] #insurtech,#datascience [79] #datascience,#ml [77] #ml,#dl [69] #deeplearning,#100daysofcode [63] mikequindazzi,#insurtech [62] #fintech,#insurtech Top Word Pairs in Tweet in G5:
[61] #datascientist,#csuite [61] #smartcity,#datascientist [61] #ehealth,#finserv [61] #web3,#cx [61] #healthtech,#smartcity [61] #csuite,#digitalhealth [61] #digitalhealth,#web3 [61] #cx,#ehealth [60] #finserv,#cloud [60] chidambara09,#healthtech Top Word Pairs in Tweet in G6:
[30] go,insurance [30] insurance,experimental [30] behavior,partnered [30] consumer,demand [30] demand,behavior [30] evidence,consumer [30] experimental,evidence [30] pay,go [30] paper,pay [29] ray_kluender,paper Top Word Pairs in Tweet in G7:
[14] survey,whitepaper [14] fintech,survey [13] data,usage [11] usage,barometer [11] bulk_infra,data [11] whitepaper,bulk_infra [7] full,whitepaper [7] #bulkfintech,#fintechbarometer [7] download,full [5] whitepaper,below Top Word Pairs in Tweet in G8:
[12] 15,million [8] #ai,#python [8] #cryptocurrencies,#machinelearning [8] #machinelearning,#ai [6] million,series [5] #python,#deeplearning [4] insurtech,platform [4] credit,teams [4] more,peace [4] million,expand Top Word Pairs in Tweet in G9:
[6] start,ups [5] setting,separate [5] former,md [5] unit,#insurtech [5] tasked,setting [5] #insurtech,support [5] separate,unit [5] activities,start [5] naicomng,tasked [5] support,activities Top Word Pairs in Tweet in G10:
[15] ip,proposal [15] networks,using [15] different,networks [15] proposal,execution [15] achieved,chain [15] governance,achieved [15] execution,different [15] dsla,ip [15] dsla,governance [15] chain,dsla Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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 G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: