The graph represents a network of 2,240 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, 29 July 2022 at 12:34 UTC.
The requested start date was Friday, 29 July 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 3-day, 13-hour, 47-minute period from Monday, 25 July 2022 at 10:01 UTC to Thursday, 28 July 2022 at 23:48 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 : 2240
Unique Edges : 3069
Edges With Duplicates : 14934
Total Edges : 18003
Number of Edge Types : 5
Retweet : 5687
MentionsInRetweet : 7829
Mentions : 3420
Replies to : 110
Tweet : 957
Self-Loops : 1500
Reciprocated Vertex Pair Ratio : 0.0558784924057754
Reciprocated Edge Ratio : 0.105842656721719
Connected Components : 221
Single-Vertex Connected Components : 146
Maximum Vertices in a Connected Component : 1835
Maximum Edges in a Connected Component : 17370
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.227932
Graph Density : 0.00112275090920692
Modularity : 0.225518
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,240 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, 29 July 2022 at 12:34 UTC.
The requested start date was Friday, 29 July 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 3-day, 13-hour, 47-minute period from Monday, 25 July 2022 at 10:01 UTC to Thursday, 28 July 2022 at 23:48 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:
[2096] #iot,#iiot [1787] #javascript,#reactjs [1366] #iiot,#pytorch [1356] #reactjs,#wordpress [1349] #python,#iot [1270] #wordpress,#security [1216] #security,#defi [883] #fintech,#insurtech [857] #healthtech,#datascientist [854] #cx,#women Top Word Pairs in Tweet in G1:
[697] #healthtech,#datascientist [695] #cx,#women [694] #digitalhealth,#cx [693] #women,#ehealth [693] #ehealth,#finserv [686] #web3,#digitalhealth [682] #datascientist,#web3 [675] #finserv,#cloud [647] #cloud,#insurtech [351] #insurtech,# Top Word Pairs in Tweet in G2:
[257] #iot,#iiot [235] #javascript,#reactjs [183] #reactjs,#wordpress [180] #iiot,#pytorch [172] #python,#iot [171] #wordpress,#security [160] #security,#defi [149] #insurtech,# [148] #women,#ehealth [147] #healthtech,#datascientist Top Word Pairs in Tweet in G3:
[1517] #javascript,#reactjs [1492] #iot,#iiot [1163] #reactjs,#wordpress [1150] #iiot,#pytorch [1141] #python,#iot [1091] #wordpress,#security [1049] #security,#defi [602] #ad,#javascript [600] #pytorch,#ad [590] #pytorch,#javascript Top Word Pairs in Tweet in G4:
[104] claims,advisor [104] scaling,insurtech [103] advisor,required [89] required,scaling [34] full,training [33] insurtech,hybrid [30] hybrid,working [28] insurtech,office [27] office,based [19] working,claims Top Word Pairs in Tweet in G5:
[15] actions,ensure [15] read,more [13] four,critical [13] critical,actions [13] ensure,finance [13] finance,#ai [13] #ai,success [13] success,gartner_inc [13] gartner_inc,read [13] more,cc Top Word Pairs in Tweet in G6:
[7] gbs,india [6] swiss,re [6] re,gbs [5] hub,partnership [5] partnership,swiss [5] india,aims [5] aims,provide [5] provide,early [5] early,growth [5] growth,stage Top Word Pairs in Tweet in G7:
[9] #assurance,#innovation [7] #tesla,devient [7] devient,#insurtech [7] #insurtech,c'est [7] c'est,firme [7] firme,d'elon [7] d'elon,musk [7] musk,même [7] même,emploie [7] emploie,terme Top Word Pairs in Tweet in G8:
[6] iiaba,indagent [6] indagent,bigivu [5] bigivu,#iiaba [5] #iiaba,bigidiversity [5] bigidiversity,naaianow [5] naaianow,laaia_national [5] laaia_national,act4agents [5] act4agents,agencynation [2] agencynation,trusted_choice Top Word Pairs in Tweet in G9:
[8] pasos,entidades [8] entidades,financieras [8] financieras,toda [8] toda,vida [8] vida,pueden [8] pueden,dar [8] dar,adaptar [8] adaptar,servicios [8] servicios,digitales [8] digitales,necesidades Top Word Pairs in Tweet in G10:
[15] #insurance,#insurtech [8] big,guy [8] guy,little [8] little,guy [8] guy,collaboration [8] collaboration,help [8] help,insurance [8] insurance,soar [8] soar,#startup [8] #startup,#insurance 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 G5:
Top Replied-To in G6:
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:
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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: