The graph represents a network of 2,094 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, 08 April 2022 at 12:19 UTC.
The requested start date was Friday, 08 April 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 2-day, 18-hour, 38-minute period from Monday, 04 April 2022 at 15:45 UTC to Thursday, 07 April 2022 at 10:23 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 : 2094
Unique Edges : 3321
Edges With Duplicates : 17290
Total Edges : 20611
Number of Edge Types : 5
Retweet : 6009
MentionsInRetweet : 10086
Mentions : 3670
Tweet : 699
Replies to : 147
Self-Loops : 1202
Reciprocated Vertex Pair Ratio : 0.0652902770425269
Reciprocated Edge Ratio : 0.122577439125393
Connected Components : 364
Single-Vertex Connected Components : 235
Maximum Vertices in a Connected Component : 1414
Maximum Edges in a Connected Component : 19653
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.336815
Graph Density : 0.00137744818198288
Modularity : 0.227996
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,094 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, 08 April 2022 at 12:19 UTC.
The requested start date was Friday, 08 April 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 2-day, 18-hour, 38-minute period from Monday, 04 April 2022 at 15:45 UTC to Thursday, 07 April 2022 at 10:23 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:
[2605] #iot,#iiot [2465] #python,#iot [2242] #javascript,#reactjs [2158] #iiot,#pytorch [1900] #reactjs,#wordpress [1609] #wordpress,#security [1255] #security,#defi [1094] #pytorch,#javascript [1018] #women,#ehealth [991] #cx,#women Top Word Pairs in Tweet in G1:
[932] #women,#ehealth [908] #cx,#women [906] #ehealth,#ces2023 [893] #healthtech,#datascientist [757] #digitalhealth,#cloud [736] #cloud,#cx [510] chidambara09,#healthtech [460] #ai,#digitalhealth [447] #datascientist,#iot [446] #iot,#ai Top Word Pairs in Tweet in G2:
[2576] #iot,#iiot [2435] #python,#iot [2214] #javascript,#reactjs [2137] #iiot,#pytorch [1876] #reactjs,#wordpress [1588] #wordpress,#security [1238] #security,#defi [1080] #pytorch,#javascript [742] #defi,#ad [551] #ai,#iot Top Word Pairs in Tweet in G3:
[33] valuation,reset [33] spiking,crypto [33] crypto,losses [31] techcrunch,roundup [29] insurtech,meltdown [29] reset,spiking [28] roundup,valuation [28] losses,insurtech [25] virtual,sales [25] sales,saas Top Word Pairs in Tweet in G4:
[20] prominent,use [20] use,cases [20] cases,#metaverse [20] #metaverse,enricomolinari [20] enricomolinari,natuverse [20] natuverse,ugurseker [20] ugurseker,thefuturemktg [19] stratorob,prominent [18] thefuturemktg,pawlowskimario [16] pawlowskimario,josephliâ Top Word Pairs in Tweet in G5:
[30] #insurtech,#insurance [17] read,full [17] full,story [16] story,#fintech [15] #fintech,#insurtech [13] #insurance,#insuranceinnovation [12] #insurance,#business [11] join,mikeatspice [11] mikeatspice,svia [10] ifage_dakar,inter Top Word Pairs in Tweet in G6:
[169] #aiethics,#machinelearning [161] #machinelearning,#ai [134] #ai,#python [81] #fintech,#insurtech [77] #python,#deeplearning [76] #deeplearning,#iot [66] #insurtech,#nocode [66] #nocode,#bitcoin [66] #bitcoin,#cybersecurity [65] #iot,#100daysofcode Top Word Pairs in Tweet in G7:
[14] nuestra,empresa [14] empresa,pensumo [14] pensumo,reconocida [14] reconocida,#startups [14] #startups,mã [14] mã,sostenibles [14] sostenibles,2021 [14] 2021,finnovatinghub [14] finnovatinghub,merito [13] y_recicla,nuestra Top Word Pairs in Tweet in G8:
[7] mr,sarbvir [7] sarbvir,singh [7] singh,ceo [7] ceo,policybazaar [7] financial,inclusion [7] inclusion,insurtech [6] #nsa2022,brings [6] brings,riseup [6] riseup,building [6] building,bricks Top Word Pairs in Tweet in G9:
[15] #insurtech,#fintech [12] million,#insurtech [9] ðÿššâœˆï,tã [9] tã,lã [9] lã,gramðÿ [9] gramðÿ,co [9] co,lqc437wqwk [9] lux_bob,#fintech [9] #fintech,#limoges [9] #limoges,#paris Top Word Pairs in Tweet in G10:
[17] foro,ibã [17] ibã,rico [10] maã,ana [9] rico,#insurtech [8] rico,#insurtech2022 [8] #insurtech,2022 [7] ecosistema,#insurtech [6] grandes,disrupciones [6] disrupciones,ecosistema [5] sector,asegurador Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: