The graph represents a network of 4,050 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, 13 November 2020 at 13:31 UTC.
The requested start date was Friday, 13 November 2020 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 8-day, 22-hour, 19-minute period from Wednesday, 04 November 2020 at 02:12 UTC to Friday, 13 November 2020 at 00:32 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 : 4050
Unique Edges : 5021
Edges With Duplicates : 12371
Total Edges : 17392
Number of Edge Types : 5
Retweet : 4110
MentionsInRetweet : 6765
Tweet : 2129
Mentions : 4225
Replies to : 163
Self-Loops : 2253
Reciprocated Vertex Pair Ratio : 0.0582711958022646
Reciprocated Edge Ratio : 0.110125260960334
Connected Components : 768
Single-Vertex Connected Components : 544
Maximum Vertices in a Connected Component : 2806
Maximum Edges in a Connected Component : 15598
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.162303
Graph Density : 0.000467361244507865
Modularity : 0.336697
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4,050 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, 13 November 2020 at 13:31 UTC.
The requested start date was Friday, 13 November 2020 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 8-day, 22-hour, 19-minute period from Wednesday, 04 November 2020 at 02:12 UTC to Friday, 13 November 2020 at 00:32 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:
[901] #fintech,#insurtech [435] #insurtech,#fintech [319] read,more [289] insurtech,startup [251] more,#accidents [245] #accidents,#claims [237] fgraillot,great [235] #claims,#disastermitigation [235] #disastermitigation,#insurance [235] #insurance,#insurancetechnology Top Word Pairs in Tweet in G1:
[549] #fintech,#insurtech [209] #insurtech,#fintech [86] fgraillot,great [85] financial,services [78] #insurtech,#insurance [75] great,overview [57] #insurance,#insurtech [56] #bigdata,#insurtech [56] #ai,#insurtech [55] #ai,#machinelearning Top Word Pairs in Tweet in G2:
[152] insurtech,startup [136] hong,kong [127] cathay,innovation [121] kong,insurtech [121] 14,million [120] startup,coherent [120] million,series [119] series,led [118] led,cathay [117] gets,14 Top Word Pairs in Tweet in G3:
[102] #fintech,#insurtech [93] #fintech,#finserv [90] #finserv,#paytech [82] #insurtech,#proptech [72] #ai,#iot [68] #solar,#energy [68] #energy,without [68] without,hassle [68] hassle,installing [68] installing,panels Top Word Pairs in Tweet in G4:
[30] #insurtech,#insurance [21] #fintech,#insurtech [17] brown,brown [17] thrilled,announce [15] top,100 [13] #insurtech,#insurtechinsights [13] #insurance,#insurtech [13] #insurtech,#fintech [13] panel,event [12] #insurtech,#funding Top Word Pairs in Tweet in G5:
[63] #fintech,#insurtech [40] #insurtech,#fintech [38] key,revolutionising [38] revolutionising,insurance [29] #lowcode,technology [29] technology,key [29] insurance,#insurtech [28] artificial,intelligence [25] technative,#lowcode [22] self,driving Top Word Pairs in Tweet in G6:
[121] fgraillot,great [102] great,overview [60] #insurtech,#fintech [42] overview,#ai [42] #ai,help [42] help,revamp [42] revamp,healthcare [42] healthcare,industry [42] industry,#digitalhealth [42] #digitalhealth,#insurtech Top Word Pairs in Tweet in G7:
[50] insurtech,startup [33] funding,round [29] 2m,seed [29] seed,funding [28] kenyan,insurtech [28] startup,turaco [28] turaco,raises [28] raises,2m [19] disruptafrica,kenyan [18] #insurtech,#fintech Top Word Pairs in Tweet in G8:
[20] #fintech,#insurtech [14] nelbro,interview [13] rdv,1er [13] 1er,décembre [13] co,fondateur [13] interview,cecilemer [13] cecilemer,co [13] co,fondatrice [13] fondatrice,otherwisefr [13] otherwisefr,repenser Top Word Pairs in Tweet in G9:
[8] dia,prime [8] prime,time [7] #fintech,#insurtech [7] ans,après [7] après,notre [7] notre,lancement [7] lancement,passons [7] passons,cap [7] cap,100 [7] 100,000 Top Word Pairs in Tweet in G10:
[8] top,25 [8] india,insurtech [7] ceos,2020 [7] pumped,release [7] release,'family [7] 'family,mode' [7] mode',today [7] today,1st [7] 1st,multi [7] multi,player Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: