The graph represents a network of 3,949 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, 16 October 2020 at 12:07 UTC.
The requested start date was Friday, 16 October 2020 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 7-day, 16-hour, 32-minute period from Thursday, 08 October 2020 at 07:27 UTC to Friday, 16 October 2020 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 : 3949
Unique Edges : 5176
Edges With Duplicates : 13514
Total Edges : 18690
Number of Edge Types : 5
Retweet : 4591
MentionsInRetweet : 8141
Tweet : 1778
Mentions : 3980
Replies to : 200
Self-Loops : 1902
Reciprocated Vertex Pair Ratio : 0.055811062771908
Reciprocated Edge Ratio : 0.105721685895927
Connected Components : 652
Single-Vertex Connected Components : 455
Maximum Vertices in a Connected Component : 2877
Maximum Edges in a Connected Component : 17161
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.208789
Graph Density : 0.000544813648588911
Modularity : 0.323721
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 3,949 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, 16 October 2020 at 12:07 UTC.
The requested start date was Friday, 16 October 2020 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 7-day, 16-hour, 32-minute period from Thursday, 08 October 2020 at 07:27 UTC to Friday, 16 October 2020 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:
[1229] #fintech,#insurtech [483] #insurtech,#fintech [259] #insurtech,#insurance [227] #insurance,#insurtech [221] read,more [214] #artificialintelligence,#machinelearning [187] #ai,#machinelearning [157] more,#accidents [155] #ai,#artificialintelligence [152] 24,industries Top Word Pairs in Tweet in G1:
[631] #fintech,#insurtech [314] #insurtech,#fintech [110] #insurtech,#insurance [101] #fintech,#ai [90] #bigdata,#fintech [89] #ai,#machinelearning [87] fgraillot,great [79] #ai,#fintech [72] #insurance,#insurtech [70] #iot,#bigdata Top Word Pairs in Tweet in G2:
[276] #fintech,#insurtech [191] read,more [149] more,#accidents [144] #accidents,#claims [140] #claims,#disastermitigation [140] #disastermitigation,#insurance [140] #insurance,#insurancetechnology [140] #insurancetechnology,#insurtech [140] #insurtech,#points [140] #points,#riskmitigation Top Word Pairs in Tweet in G3:
[55] run,rate [54] reaches,100m [54] 100m,run [54] rate,turns [54] turns,profitable [53] #insurance,#insurtech [52] profitable,insurtech [51] zebra,reaches [50] insurtech,booms [35] ãƒ,ムTop Word Pairs in Tweet in G4:
[138] #fintech,#insurtech [39] #insurtech,#insurance [34] #uam,#aam [33] futuristic,avem [33] avem,urban [33] urban,air [33] air,mobility [33] mobility,year [33] year,2050 [33] 2050,tuvie_design Top Word Pairs in Tweet in G5:
[21] #fintech,#insurtech [17] #fintech,magazine [16] #insurtech,#fintech [16] magazine,#fintech [14] #insurtech,#insurance [13] #insurance,#insurtech [12] insurtech,startup [12] financial,services [11] fintech,magazine [11] congrats,insurtech_uk Top Word Pairs in Tweet in G6:
[25] #fintech,#insurtech [11] #insurtech,#insurance [11] itc,global [9] virtual,stage [8] qonto,integra [8] #insurtech,#fintech [7] integra,polizze [7] polizze,anti [7] anti,pandemia [7] pandemia,yolo Top Word Pairs in Tweet in G7:
[15] #fintech,#insurtech [10] appel,projets [10] fintech,evolution [8] q3,2020 [8] 2020,15 [8] 15,levées [8] européennes,connaître [7] #insurtech,#regtech [7] bouge,fort [7] fort,l'#assurtech Top Word Pairs in Tweet in G8:
[18] #fintech,#regtech [18] #regtech,#insurtech [18] #insurtech,#deeptech [12] startups,selected [10] #incubation,program [10] program,#singapore [10] f10_accelerator,f10 [9] regulatory,developments [9] latin,america [9] meet,startups Top Word Pairs in Tweet in G9:
[37] 100m,run [37] run,rate [35] reaches,100m [35] rate,turns [35] turns,profitable [34] profitable,insurtech [34] insurtech,booms [32] zebra,reaches [24] booms,alex [24] techcrunch,zebra Top Word Pairs in Tweet in G10:
[38] #fintech,#insurtech [18] fintech,insurtech [13] #insurtech,track [9] #insurtech,singularcover [8] track,hosted [8] polnavarro,ceo [8] ceo,innocells [8] south_summit,2020 [8] vertical,#fintech [7] segundo,encuentro 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 Tweeters in Entire Graph:
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Top Tweeters in G10: