The graph represents a network of 2,601 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, 02 December 2022 at 13:39 UTC.
The requested start date was Friday, 02 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 8-day, 14-hour, 45-minute period from Wednesday, 23 November 2022 at 10:15 UTC to Friday, 02 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 : 2601
Unique Edges : 3377
Edges With Duplicates : 14496
Total Edges : 17873
Number of Edge Types : 5
Mentions : 3240
Tweet : 1811
Retweet : 4972
MentionsInRetweet : 7698
Replies to : 152
Self-Loops : 2009
Reciprocated Vertex Pair Ratio : 0.0605892162312396
Reciprocated Edge Ratio : 0.114255765199161
Connected Components : 544
Single-Vertex Connected Components : 389
Maximum Vertices in a Connected Component : 1684
Maximum Edges in a Connected Component : 16423
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.616667
Graph Density : 0.000846420015970189
Modularity : 0.25537
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,601 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, 02 December 2022 at 13:39 UTC.
The requested start date was Friday, 02 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 8-day, 14-hour, 45-minute period from Wednesday, 23 November 2022 at 10:15 UTC to Friday, 02 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:
[1829] #iot,#iiot [1767] #javascript,#reactjs [1661] #python,#iot [1560] #iiot,#pytorch [1383] #reactjs,#wordpress [1195] #wordpress,#security [1047] #security,#defi [823] #fintech,#insurtech [573] #ad,#javascript [570] #pytorch,#ad Top Word Pairs in Tweet in G1:
[228] #fintech,#insurtech [147] #insurance,#insurtech [111] #insurtech,#insurance [65] #fintech,#insurance [50] #finserv,#marketing [47] #insurtech,#fintech [42] #insurtech,#vc [42] globaliqx,#insurtech [41] #insurance,#technology [39] #fintech,#finserv Top Word Pairs in Tweet in G2:
[56] southeast,asia [53] insurtech,igloo [50] igloo,increases [49] asia,insurtech [49] series,46m [49] increases,series [36] saas,insurtech [36] insurtech,hcm [36] sales,saas [36] virtual,sales Top Word Pairs in Tweet in G3:
[1804] #iot,#iiot [1749] #javascript,#reactjs [1643] #python,#iot [1542] #iiot,#pytorch [1367] #reactjs,#wordpress [1181] #wordpress,#security [1036] #security,#defi [565] #ad,#javascript [562] #pytorch,#ad [505] #pytorch,#javascript Top Word Pairs in Tweet in G4:
[194] #datascientist,#csuite [193] #csuite,#digitalhealth [193] #cx,#ehealth [193] #digitalhealth,#web3 [193] #web3,#cx [190] #ehealth,#finserv [176] #healthtech,#smartcity [175] #smartcity,#datascientist [107] #insurtech,#datascience [104] #datascience,#ml Top Word Pairs in Tweet in G5:
[204] #cryptocurrencies,#machinelearning [173] #machinelearning,#ai [148] #ai,#python [117] #python,#deeplearning [108] #100daysofcode,#fintech [107] #cybersecurite,#metaverse [107] #bitcoin,#cybersecurity [107] #cybersecurity,#cybersecurite [107] #fintech,#nocode [107] #nocode,#bitcoin Top Word Pairs in Tweet in G6:
[32] data,usage [31] fintech,survey [30] bulk_infra,data [30] usage,barometer [30] whitepaper,bulk_infra [29] survey,whitepaper [26] fintech,good [18] #bulkfintech,#fintechbarometer [18] download,full [18] full,whitepaper Top Word Pairs in Tweet in G7:
[9] mapa,#insurtech [8] santalucia_imp,lanza [8] tercer,mapa [8] lanza,tercer [5] española,fintech [5] #insurtech,#sectoasegurador [5] asociación,española [5] 310,iniciativas [5] fintech,insurtech [5] iniciativas,algo Top Word Pairs in Tweet in G8:
[19] #futureofclaims,#insurtech [18] #insurance,industry [18] #insurtech,#fintech [16] #insurance,#technology [15] #insurtech,#rpa [15] canadian,underwriter [13] #claims,quickly [12] employees,increase [12] #insurance,#insurtech [12] engage,employees Top Word Pairs in Tweet in G9:
[7] #fintech,#insurtech [7] insurer,takaful [7] takaful,framework [7] issued,digital [7] bnm_official,issued [7] issue,licenses [7] digital,insurer [7] latest,contini [7] looking,issue [7] licenses,2025 Top Word Pairs in Tweet in G10:
[8] #insurtech,#insurance [6] latest,insurtech [6] daily,thanks [4] insurtech,daily [3] #startup,#insurtech [3] series,46m [3] insurtech,hartford [3] insurtech,igloo [2] oferecem,mil [2] asia,insurtech Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: