The graph represents a network of 3,384 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, 26 February 2021 at 13:27 UTC.
The requested start date was Friday, 26 February 2021 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 4-day, 5-hour, 0-minute period from Sunday, 21 February 2021 at 19:59 UTC to Friday, 26 February 2021 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 : 3384
Unique Edges : 5158
Edges With Duplicates : 13884
Total Edges : 19042
Number of Edge Types : 5
Retweet : 5184
MentionsInRetweet : 9723
Tweet : 1545
Mentions : 2505
Replies to : 85
Self-Loops : 1720
Reciprocated Vertex Pair Ratio : 0.0418231257283439
Reciprocated Edge Ratio : 0.0802883420333085
Connected Components : 533
Single-Vertex Connected Components : 357
Maximum Vertices in a Connected Component : 2464
Maximum Edges in a Connected Component : 17737
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 3.873973
Graph Density : 0.000702825768391394
Modularity : 0.30441
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 3,384 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, 26 February 2021 at 13:27 UTC.
The requested start date was Friday, 26 February 2021 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 4-day, 5-hour, 0-minute period from Sunday, 21 February 2021 at 19:59 UTC to Friday, 26 February 2021 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:
[1001] #bigdata,#linkedin [953] #women,#insurtech [743] #linkedin,#fashion [740] #fashion,#women [658] #fintech,#insurtech [432] #insurtech,#socialmedia [396] #socialmedia,#iiot [364] #insurtech,#fintech [327] #iiot,#iot [237] #linkedin,#women Top Word Pairs in Tweet in G1:
[415] #fintech,#insurtech [187] #insurtech,#fintech [79] #ai,#machinelearning [73] #insurtech,#startup [70] #insurance,#insurtech [61] #ux,#cx [54] #insurtech,#ai [52] technology,leveraged [51] #insurtech,#ehealth [51] #ehealth,roadmap Top Word Pairs in Tweet in G2:
[960] #bigdata,#linkedin [907] #women,#insurtech [710] #linkedin,#fashion [707] #fashion,#women [412] #insurtech,#socialmedia [379] #socialmedia,#iiot [308] #iiot,#iot [230] #linkedin,#women [184] #iot,#tech [156] #insurtech,#socialme Top Word Pairs in Tweet in G3:
[23] #insurance,#insurtech [19] fintech,insurtech [14] #insurtech,#fintech [13] empresas,criptomonedas [13] española,fintech [12] insurtech,startup [12] asociación,española [12] insurtech,afirma [12] afirma,empresas [12] criptomonedas,pueden Top Word Pairs in Tweet in G4:
[125] mashable,enricomolinari [120] wef,enricomolinari [97] uniladtech,enricomolinari [85] enricomolinari,#ev [37] driverless,1981 [37] 1981,delorean [37] delorean,drift [37] drift,pro [37] pro,mashable [34] enricomolinari,driverless Top Word Pairs in Tweet in G5:
[20] #insurance,#insurtech [13] 2021,cohort [11] honored,selected [11] selected,brokertech [11] brokertech,ventures [11] ventures,accelerator [11] accelerator,2021 [11] cohort,class [11] class,wait [11] wait,work Top Word Pairs in Tweet in G6:
[23] top,insurtech [23] insurtech,companies [23] 2021,featuring [9] financedailymag,top [5] five,things [5] insurtech,partner [4] sure,cro [4] cro,nate [4] nate,kinet [4] kinet,shares Top Word Pairs in Tweet in G7:
[32] #polkacover,allow [32] allow,users [32] users,purchase [32] purchase,traditional [32] traditional,insurance [32] insurance,policies [32] policies,cvr [32] cvr,tokens [32] tokens,40 [32] 40,discount Top Word Pairs in Tweet in G8:
[31] artificial,intelligence [18] insurtech,artificial [13] mikequindazzi,#insurtech [13] #insurtech,#datascience [13] #datascience,#ml [11] deep,learning [11] #artificialintelligence,#insurtech [10] intelligence,#artificialintelligence [9] insurance,sector [9] #fintech,#insurtech Top Word Pairs in Tweet in G9:
[18] impermanent,loss [16] announcing,insurance [16] insurance,against [16] against,pangolindex [16] pangolindex,pancakeswap [16] pancakeswap,uniswap [16] uniswap,impermanent [16] dsla,protocol [15] stacktical,announcing [7] dsla,maxima Top Word Pairs in Tweet in G10:
[11] luxembourg,first [8] benelux,#insurtech [8] #insurtech,digital [8] digital,meetup [7] groupefoyer,becomes [7] becomes,luxembourg [7] fintechbe,the_lhoft [6] march,11th [6] #insurtech,#fintech [6] amis,insurtech Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: