The graph represents a network of 3,965 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, 02 October 2020 at 12:09 UTC.
The requested start date was Friday, 02 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, 13-hour, 43-minute period from Thursday, 24 September 2020 at 09:48 UTC to Thursday, 01 October 2020 at 23:31 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 : 3965
Unique Edges : 5331
Edges With Duplicates : 13072
Total Edges : 18403
Number of Edge Types : 5
Retweet : 4588
MentionsInRetweet : 8489
Mentions : 3211
Tweet : 1940
Replies to : 175
Self-Loops : 2070
Reciprocated Vertex Pair Ratio : 0.0488740410789409
Reciprocated Edge Ratio : 0.093193346702843
Connected Components : 649
Single-Vertex Connected Components : 440
Maximum Vertices in a Connected Component : 2819
Maximum Edges in a Connected Component : 16611
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.181641
Graph Density : 0.000539343371554584
Modularity : 0.348831
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 3,965 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, 02 October 2020 at 12:09 UTC.
The requested start date was Friday, 02 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, 13-hour, 43-minute period from Thursday, 24 September 2020 at 09:48 UTC to Thursday, 01 October 2020 at 23:31 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:
[1136] #fintech,#insurtech [424] #insurtech,#fintech [215] #insurtech,#insurance [191] read,more [181] #ai,#machinelearning [168] #insurance,#insurtech [131] insurtech,startup [123] #bigdata,#fintech [122] fgraillot,great [122] more,#accidents Top Word Pairs in Tweet in G1:
[817] #fintech,#insurtech [216] #insurtech,#fintech [125] #ai,#machinelearning [105] #insurtech,#insurance [96] #bigdata,#fintech [91] #insurtech,#bigdata [82] life,insurance [75] future,life [74] reimagining,industry [74] industry,decade Top Word Pairs in Tweet in G2:
[65] insurtech,startup [60] startup,root [58] tech,stocks [58] stocks,dip [58] dip,insurtech [58] root,targeting [58] targeting,ipo [29] #insurance,#insurtech [23] fintech,magazine [21] fintech,insurtech Top Word Pairs in Tweet in G3:
[100] #fintech,#insurtech [89] #insurtech,#fintech [55] #bigdata,#datascience [50] mikequindazzi,antgrasso [47] #datascience,#ai [40] #bigdata,#insurtech [38] #ai,#machinelearning [37] impacting,industries [35] #ai,#machinelearn [34] #emergingtechnologies,impacting Top Word Pairs in Tweet in G4:
[56] l'année,2020 [51] financeinnov,#insurtechbiz [43] #insurtech,l'année [32] insurtech,l'année [29] pascal,bied [29] bied,charreton [25] prix,#insurtech [25] charreton,moonshotoff [24] remise,prix [24] ce,matin Top Word Pairs in Tweet in G5:
[61] fgraillot,great [46] #insurtech,startups [43] great,map [42] map,#insurtech [42] startups,europe [42] europe,16 [42] 16,countries [42] countries,beyond [42] beyond,fr [42] fr,uk Top Word Pairs in Tweet in G6:
[51] top,10 [51] 10,highest [51] highest,paying [51] paying,#blockchain [51] #blockchain,#jobs [51] #jobs,2020 [51] 2020,gt [51] gt,101blockchains [50] observatore2,top [44] 101blockchains,observatore2 Top Word Pairs in Tweet in G7:
[11] fintech,insurtech [9] insurtech,digital [7] #insurance,#insurtech [6] clearly,great [6] great,opportunity [6] opportunity,insurers [6] insurers,willing [6] willing,more [6] more,kick [6] brokertechven,looking Top Word Pairs in Tweet in G8:
[19] #insurtech,#insurance [13] insurtech,ehealth [12] launch,insurtech [12] insurtech,snapshots [12] ehealth,spain [10] tech,giant [10] giant,amazon [10] amazon,recently [10] recently,partnered [10] instead,incumbent Top Word Pairs in Tweet in G9:
[30] #fintech,#insurtech [20] tech,innovation [19] insurtech,startup [16] innovation,2021 [14] tech,stocks [14] stocks,dip [14] targeting,ipo [13] dip,insurtech [13] startup,root [12] root,targeting Top Word Pairs in Tweet in G10:
[28] #fintech,#insurtech [11] gana,seal [11] seal,award [11] award,insurtech [9] #insurtech,#insurance [8] #ai,#machinelearning [8] #bigdata,#insurtech [8] únete,#insurtechcommunityhub [8] #insurtechcommunityhub,ecosistema [8] ecosistema,transformación 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: