The graph represents a network of 2,451 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, 27 May 2022 at 12:35 UTC.
The requested start date was Friday, 27 May 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, 11-hour, 44-minute period from Monday, 23 May 2022 at 12:11 UTC to Thursday, 26 May 2022 at 23:56 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 : 2451
Unique Edges : 3320
Edges With Duplicates : 14197
Total Edges : 17517
Number of Edge Types : 5
Retweet : 5300
MentionsInRetweet : 7520
Replies to : 93
Mentions : 3465
Tweet : 1139
Self-Loops : 1684
Reciprocated Vertex Pair Ratio : 0.0466154670476871
Reciprocated Edge Ratio : 0.0890784982935154
Connected Components : 251
Single-Vertex Connected Components : 173
Maximum Vertices in a Connected Component : 2066
Maximum Edges in a Connected Component : 16991
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.286088
Graph Density : 0.000975861580862455
Modularity : 0.239155
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,451 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, 27 May 2022 at 12:35 UTC.
The requested start date was Friday, 27 May 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, 11-hour, 44-minute period from Monday, 23 May 2022 at 12:11 UTC to Thursday, 26 May 2022 at 23:56 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:
[1557] #datascientist,#mwc22 [1548] #cx,#women [1546] #digitalhealth,#datascientist [1541] #mwc22,#ai [1537] #women,#ehealth [1529] #ai,#healthtech [1501] #ehealth,#ces2023 [1368] #iiot,#cx [1362] #healthtech,#ml [1358] #ml,#iiot Top Word Pairs in Tweet in G1:
[380] #aiethics,#machinelearning [348] #machinelearning,#ai [285] #ai,#python [285] #digitalhealth,#datascientist [285] #datascientist,#mwc22 [284] #fintech,#insurtech [281] #cx,#women [281] #women,#ehealth [280] #mwc22,#ai [278] #ai,#healthtech Top Word Pairs in Tweet in G2:
[1079] #datascientist,#mwc22 [1076] #cx,#women [1073] #mwc22,#ai [1070] #digitalhealth,#datascientist [1070] #women,#ehealth [1064] #ai,#healthtech [1042] #ehealth,#ces2023 [963] #iiot,#cx [962] #healthtech,#ml [960] #ml,#iiot Top Word Pairs in Tweet in G3:
[123] #finserv,#insurtech [117] #marketing,#finserv [94] 17,equations [94] changed,world [94] #stem,#futureofwork [94] #futureofwork,#marketing [92] #insurtech,#neobanks [91] equations,changed [91] #neobanks,#fintech [91] enricomolinari,17 Top Word Pairs in Tweet in G4:
[335] #iot,#iiot [314] #javascript,#reactjs [309] #python,#iot [269] #iiot,#pytorch [266] #reactjs,#wordpress [260] #aiethics,#machinelearning [250] #machinelearning,#ai [243] #ai,#python [228] #fintech,#insurtech [213] #wordpress,#security Top Word Pairs in Tweet in G5:
[39] insurtech,insights [18] insurtech,vanguards [17] vanguards,program [15] guidewire,insurtech [10] insurtechs,insurers [8] program,reaches [8] reaches,growth [8] growth,milestone [8] milestone,connecting [8] connecting,25 Top Word Pairs in Tweet in G6:
[26] anjkhem,iti_insurtech [24] insurtech,insights [19] insights,americas [18] cloverhealth,andrewtoy [17] andrewtoy,anjkhem [16] fireside,chat [16] president,andrewtoy [12] clov,crowd [12] crowd,countdown [12] countdown,iti_insurtech Top Word Pairs in Tweet in G7:
[353] #aiethics,#machinelearning [323] #machinelearning,#ai [252] #ai,#python [133] #python,#deeplearning [111] #deeplearning,#iot [92] #fintech,#insurtech [91] #iot,#100daysofcode [91] #100daysofcode,#fintech [91] #insurtech,#nocode [91] #nocode,#bitcoin Top Word Pairs in Tweet in G8:
[8] #insurtech,#fintech [7] #innovation,#insurtech [5] digital,insurance [5] #insurance,#technology [5] #insurtech,#rpa [5] assureurs,peuvent [5] #insurtech,#innovation [5] comment,assurer [5] assurer,qu [5] qu,#ia Top Word Pairs in Tweet in G9:
[10] insurtech,insights [6] #insurance,#insurtech [6] #tourdeinsurtech,back [6] back,dates [6] dates,12 [6] 12,19 [6] 19,september [6] september,interested [6] interested,joining [6] joining,talking Top Word Pairs in Tweet in G10:
[5] india,16 [5] 16,fintech [5] fintech,unicorns [5] unicorns,_groww [5] _groww,bharatpeindia [5] bharatpeindia,coindcx [5] coindcx,coinswitchkuber [5] coinswitchkuber,ackoindia [5] bolttech,expands [5] expands,vietnam Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G9:
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:
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: