The graph represents a network of 1,929 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, 03 June 2022 at 12:35 UTC.
The requested start date was Friday, 03 June 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, 15-hour, 17-minute period from Tuesday, 31 May 2022 at 08:42 UTC to Friday, 03 June 2022 at 00:00 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 : 1929
Unique Edges : 2502
Edges With Duplicates : 14612
Total Edges : 17114
Number of Edge Types : 5
Retweet : 6053
MentionsInRetweet : 7472
Tweet : 788
Mentions : 2745
Replies to : 56
Self-Loops : 1110
Reciprocated Vertex Pair Ratio : 0.0559101915034118
Reciprocated Edge Ratio : 0.105899520533667
Connected Components : 272
Single-Vertex Connected Components : 186
Maximum Vertices in a Connected Component : 1495
Maximum Edges in a Connected Component : 16574
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.242531
Graph Density : 0.0012898240225086
Modularity : 0.200473
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,929 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, 03 June 2022 at 12:35 UTC.
The requested start date was Friday, 03 June 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, 15-hour, 17-minute period from Tuesday, 31 May 2022 at 08:42 UTC to Friday, 03 June 2022 at 00:00 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:
[2462] #python,#roblox [2462] #roblox,#iot [2462] #iot,#azure [2442] #azure,#ad [2442] #ad,#pytorch [2403] #defi,#ada [2334] #pytorch,#cython [2334] #cython,#rstats [2317] #java,#defi [2253] #rstats,#dotnet Top Word Pairs in Tweet in G1:
[591] #cx,#women [591] #women,#ehealth [587] #datascientist,#mwc22 [583] #ehealth,#ces2023 [566] #mwc22,#ai [539] #healthtech,#datascientist [522] #ai,#digitalhealth [311] chidambara09,#healthtech [273] #digitalhealth,#startups [273] #startups,#cx Top Word Pairs in Tweet in G2:
[263] #machinelearning,#ai [258] #aiethics,#machinelearning [224] #ai,#python [179] #python,#roblox [179] #roblox,#iot [179] #iot,#azure [177] #azure,#ad [177] #ad,#pytorch [171] #defi,#ada [167] #pytorch,#cython Top Word Pairs in Tweet in G3:
[28] 25,staff [25] insurtech,policygenius [25] staff,less [25] months,raising [25] raising,125m [24] policygenius,cuts [24] cuts,25 [24] less,months [11] participate,goldman [11] goldman,sachs Top Word Pairs in Tweet in G4:
[135] #cx,#women [135] #women,#ehealth [134] #datascientist,#mwc22 [133] #ehealth,#ces2023 [131] #healthtech,#datascientist [129] #mwc22,#ai [126] chidambara09,#healthtech [126] #ai,#digitalhealth [79] #business,#tech [76] #digitalhealth,#startups Top Word Pairs in Tweet in G5:
[2173] #python,#roblox [2173] #roblox,#iot [2173] #iot,#azure [2157] #azure,#ad [2157] #ad,#pytorch [2124] #defi,#ada [2064] #pytorch,#cython [2064] #cython,#rstats [2049] #java,#defi [1986] #rstats,#dotnet Top Word Pairs in Tweet in G6:
[187] #machinelearning,#ai [173] sign,free [172] #ai,#python [168] #aiethics,#machinelearning [154] free,middlemen [154] middlemen,#robotics [154] #robotics,#aiethics [89] #job,sign [84] #hiring,sign [83] #datascience,#bigdata Top Word Pairs in Tweet in G7:
[7] 25,staff [7] staff,less [7] #innovation,#digital [6] #insurtech,#digital [6] #assurance,#insurtech [5] months,raising [5] raising,125m [5] #digital,#insurtech [4] #insurtech,#innovation [4] datafolio1,accélère Top Word Pairs in Tweet in G8:
[10] #insurtech,#insurance [7] here's,#50insurtech [7] #50insurtech,influencer [7] influencer,list [7] list,make [7] make,sure [7] sure,check [7] check,complete [7] complete,top [5] top,congrats Top Word Pairs in Tweet in G9:
[10] insurtech,global [10] global,outlook [6] insurtechcomhub,impact [6] impact,hub [6] hub,picasso [6] richard,calvo [6] participando,presentacion [6] presentacion,insurtech [6] outlook,insurtechcomhub [6] insurtechcomhub,nttdata Top Word Pairs in Tweet in G10:
[5] #insurtech,#insurance [5] #insurtech,globaliqx [4] #insurance,#insurtech [4] itlupdates,#insurance [3] 2021,limra [3] limra,study [3] study,shows [3] shows,48 [3] 48,americans [3] americans,more Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: